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| "Violo Fcil Vol. 2 - INTERMEDIRIO / Grtis Revista Digital" |
| "Nesta edio, aprenderemos a tcnica de dedilhados e escalas; aprenderemos a encontrar uma srie de acordes novos, amplamente utilizados na harmonizao da MPB e do Jazz; estudaremos novas levadas de acompanhamento; estudaremos a teoria de intervalos e de formao das escalas maiores, e aprenderemos a encontr-las no violo; finalmente, iniciaremos o estudo de improvisao com escalas e com trades. Ao final deste mdulo, voc estar apto a tocar uma quantidade enorme de msicas novas, e ter comeado sua jornada no campo da improvisao.Adquira tambm as Edies 1 e 3 (Bsico e Intermedirio) para que voc se torne um profissional completo!Bons Estudos!Edicase Publicaes."
Price: 144.99  |
| "Violo Fcil Vol. 3 - AVANADO / Grtis Revista Digital" |
| "Na Ed. 3 - Avanado, completaremos nosso estudo de acordes, estudando as inverses de trades e ttrades. Iniciaremos o estudo de ritmos brasileiros, e trabalharemos com variaes de levadas j conhecidas. Por fim, avanaremos no terreno da harmonizao e da improvisao levando adiante o nosso estudo de trades e aprenderemos a usar a tcnica de chord melody. Nesta edio inclumos tambm um curso bsico de leitura rtmica e meldica. Voc receber tambm uma Revista Digital que voc poder baixar e com ela acompanhar as Vdeo-Aulas.Bom Estudo!"
Price: 144.99  |
| "Curso Prtico de Teclado - Grtis uma Revista Digital" |
| "O teclado um dos mais importantes instrumentos na composio de uma banda. Com ele, voc pode fazer, alm do tradicional, sons de outros instrumentos e colocar uma grande diversidade de efeitos nas canes. Nessa edio da revista digital, voc vai aprender o incio de tudo e comear a tocar canes conhecidas como Capelinha de melo, Can can e o Cravo brigou com a Rosa. Bom estudo."
Price: 144.99  |
| "ESL Vocabulary Builder For Beginners - Clothing/Weather" |
| "This course is designed for beginning ESL students. In this course, students will learn basic and every day English vocabulary that will help them bring their English to the next level. Students will practice speaking, listening, reading, and writing while learning new words to help them join inevery day conversations with native English speakers.This course is hands-on. You will be using the new vocabulary right away through interactive activities,realworld situations, quizzes, and tests.Each section will have the following:1. Pre-assessment quiz to see how much you know2.Vocabulary: Learn the new words through pictures, sample sentences and speaking3. Practice: This will include fill in the blanks, dictations, reading passages, speaking exercises, listening exercises, internet research, writing, and much more!4. Review and Test: Review what you have learned and test yourself to see how well you know the new wordsThis course will focus on the following vocabulary:1. Clothing2. Weather3. Natural Disasters4. Seasons"
Price: 34.99  |
| "Fundamentals of Marketing for Doctors& Healthcare providers" |
| "If you are a physician,dentist,doctors office manager, dental office manager, nutritionist orphysiotherapist ? Then this course could help you to plan and execute yourmarketingactivities from the ground up.The course uses examples from a variety ofmedical practices as psychiatry and eyecare,but whatever your specialty,it canhelp youunderstand and apply the essentail marketing fundamentals to your private practice.If youwant to be successfulwith promoting yourprivate practice ,attracting and retainingmore clientsthroughthe different marketing tools (website, Facebook, networking and print materials), thismightbe theUdemy course for you! You getprinciplesandstrategiesthatwill work for youbased on my experience practicing and teaching marketing for more than 15 years. Take this course today andget the best results from your marketing!But I have to warn you, this is not a theoretical course, it is an action oriented course. You have to commit to doing the activities outlined and filling the provided worksheets.To become a student, find the green ""take this course"" button or the add it to cart buttonto enroll!Thank you so much for reading this and Ihope to see you in the course soon!"
Price: 49.99  |
| "Gerenciador de Negcios do Facebook - Edio 2020" |
| "O Gerenciador de Negcios do Facebook a ferramenta para a gesto profissional de Pginas de Facebook, Perfis Comerciais de Instagram, Pixels e Contas de Anncios de Facebook e Instagram Ads. Com ele voc pode gerenciar pginas de Facebook de seus clientes e tambm gerenciar os investimentos em Facebook Ads de forma inteligente, e ainda usar recursos como o Pixel do Facebook, Informaes do Pblico e mais.Nesta aula voc vai aprender a:- Criar um Gerenciador de Negcios do Facebook- Inserir pessoas, pginas e contas de Facebook Ads no Gerenciador de Negcios do Facebook- Ativar e configurar o Pixel do Facebook- Conectar o domnio do seu site ao Gerenciador de Negcios, para poder editar os links compartilhados na sua pgina- Criar Catlogos de Produtos- Detalhes das Converses Offline- Excluir o Gerenciador de Negcios do FacebookAula bnus:- Como usar a ferramenta de Informaes do Pblico."
Price: 99.99  |
| "Introduction to Sport-Spirituality" |
| "This course explores contemporary Christian spirituality in relation to the phenomena of sports. Students will study how human beings encounter ""the Holy"" in the midst of everyday life with significant emphasis placed on how experiences associated with sports, either as an athlete-participant, spectator, or as identifying with athletes and teams, have an impact in developing a critical assessment of one's personal systems of morality, ethics, and human values. This assessment, in turn, becomes a focus on the ways in which one relates to the HolyPresence of God and/or His transcendent Presence in the course of one's life."
Price: 29.99  |
| "Unreal Engine 4: Como Criar Seu Game" |
| "Seja bem-vindo ao curso feito para voc, curioso, inicianteou profissional da rea com vontade de conferir o material que preparamos aqui.Adicionamos novasperiodicamente sempreconsiderandoo feedback dos alunos, por isso por favor avaliem o curso e compartilhem com seus amigos!Aqui voc aprender:ProgramaoLevel DesignInteligncia ArtificialGame DesignPrototipaoPlanejamentoUMLE muito mais..."
Price: 579.99  |
| "SolidWorks: The Complete Design and Rendering Course" |
| "This course is an introduction to SolidWorks. It will take you from the very beginning of opening SolidWorks and teach you the entiredesigning workflow within SolidWorks. In this project based course, you will be learning how make 3D models, 2D engineering drawing, assembly, animation, and high-quality render of a check valve in SolidWorks. My name is Azeez Salu, and I will be your instructor for this course. I am a skilled and motivated professional with 7 years experience operating computer aided drafting and design software (CAD). I specialize in engineering part design (3D), 2d drawings, animation, and photo view rendering using SolidWorks and AutoCAD. I am confident that this course will help you develop your designing skills in SolidWorks. I will also be available at any time to answer any questions as well as help you with any issues you may come across while making your way through this course. Even if you dont have SolidWorks you can still take advantage of this course by downloading a student version from Dassault Systemes website. Thank you and I hope to see you inside!"
Price: 19.99  |
| "R Programming , Logistic and Linear regression, Integrals" |
| "In this class, we cover the following :Fundamentals of RAssignment andArithmetic with RVectors, list and matrixloops (for, if ,if else, while, repeat )functionsSome nice Plots for data visualization (outlier detection, correlation coefficients )How to detect andeliminate outliers and missing valuesfrom the dataHow to use the mallows'CP to select the best subset of parameters for the linear regression modellogistic and linear regression modelsHow to use the mallows'CP to select the best subset of parameters for the linear regression modelconfidence intervals of parametersmodel performance , prediction and interpretation du resultIntegral approximationBy the end of this course , you will be able to effectively code in R. You will be able to summarize your data , visualize your data , detect and eliminate outliers and missing values form your data ,construct and interpret a logistic or linear regression model using the best subset of parameters,predict , approximate complex integral and more ."
Price: 34.99  |
| "Logistic Regression, Decision Tree and Neural Network in R" |
| "In this course, we cover two analytics techniques: Descriptive statistics and Predictive analytics. For the predictive analytic, our main focus is the implementation of a logistic regression model aDecision tree and neural network. We well also see how to interpret our result, compute the prediction accuracy rate, then construct a confusion matrix .By the end of this course , you will be able to effectively summarize your data , visualize your data , detect and eliminate missing values,predict futures outcomes using analytical techniques described above , construct a confusion matrix, import and export a data."
Price: 54.99  |
| "Python 3 in 1: Basics, Advanced and Django" |
| "TheMost comprehensive, yet simplecourse on Python programming language in the entire Web.Learn Python in step by step and easy way from scratch.Whether you have coding background or never programmed before this course will make you:A Python programmer, who knows the basics.A Python developer, who can build and deploy application fast.A Python Tester, who can find and fix bugs.A Python Analyst who can map real world problem into python coding termsAnd the best part is you will learn all this whilemaking a Text Editor.So what are you waiting for ?Jump on-board and Learn Python in a way that will advance your career and increase your knowledge, all in a fun and practical way!"
Price: 194.99  |
| "Learn ESP8266 for IoT" |
| "What is ESP8266 and why you should learn it?ESP8266 is among the most integrated Wi-Fi chips in the industry. Measuring just 5mm x 5mm, ESP8266 requires minimal external circuitry and integrates a 32-bit Tensilica microcontroller, standard digital peripheral interfaces, antenna switches, power amplifier, low noise receive amplifier, filters and power management modules - all in one small package. Which makes it perfect for IoT use-case design and development. In many cases, even the production IoT landscape is using ESP8266 due to its capabilities and powerful features. On top of that, it is low cost and available readily.Why you should consider taking this course?One of the challenges while working with ESP8266 is its learning curve. Tools and techniques which one needs to master to get comfortable while using it in projects need to be understood well with a clear understanding of basics. Keeping that in mind we have designed the Professional ESP8266 development course. This course will cover all the concepts one needs to master starting from basics, you will learn how the Architecture of ESP8266 is designed, then you will understand how the flashing is done in ESP8266 where you load your OS, connecting ESP8266 to the internet is then the major step where you will understand the capability of a hardware to communicate with the internet which will enable the IoT . Most of the time hardware endpoints will be connected to data stream network cloud which can manage scale, security and stream of communication. We are using a widely used platform which is PubNub with ESP8266 to demonstrate this.At the end, we will put everything together and also have a small end to end project of a smart home where we will cover from circuit design, development, and implementation with Go-Live."
Price: 194.99  |
| "Decoracin Profesional con Globos" |
| "El curso de Formacin Profesional de Diseo y Decoracin con Globos, est diseado para que tengas una base slida, antes de iniciar tu negocio relacionado con la decoracin con globos.A travs de este completo programa, aprenders tcnicas y habilidades para hacer y vender fantsticas creaciones, as que pondr en tus manos todos los recursos que necesitas para emprender tu negocio de globos.Podrsaprender a tu ritmo, y repetir las lecciones cuantas veces sea necesario, y sobre todo, tomar notas de lo que digo para que luego puedas repasarlas.Tambinpodrs practicarviendo los vdeos. Es la mejor manera de aprender! Este curso est dirigidotanto para aquellaspersonas que no conocen absolutamente nada de la decoracin con globos, como para las que tienen conocimientos bsicos y quieranperfeccionarlos, y que adems, tengan complicaciones de tiempo o de desplazamientos para asistir a un curso presencial.Slo tienes que seguir mis explicaciones y, al final, tendrs los resultados que siempre has esperado. Por qu ste Curso es diferente a otros Cursos de Decoracin con Globos?PORQUE no necesitas experiencia previa:Todo el mundo puede seguir este simple mtodo. Puede que no tengas ni idea de cmo empezar o te sientas incapaz, pero te aseguro que con este mtodo aprendersTODOlo necesario para empezar a crear fantsticos elementos decorativos y emprender tu negocio de globos. No tener ni idea no es un problema! Yo no saba nada de nada, te lo aseguro, y mira dnde he llegado.PORQUE lo puedes hacer a tu ritmo y desde casa:Sin desplazamientos, sin horarios, empezando cuando quieras y compaginndolo con tus horarios.PORQUE tienes acceso ilimitado:Todo el tiempo que quieraspara ver los vdeos y toda la informacin del curso, repasarlo cuando quieras, y volver a ver los vdeos una y otra vez si lo necesitas.PORQUE tienes SOPORTE ilimitado:Puedes (y debes) preguntarme todas tus dudas y comentarme cualquier dificultad que te vayas encontrando. Tendrs un trato totalmente personalizado, mejor que en cualquier curso presencial en grupo y, por supuesto, mejor que cualquier curso Online en el que te mandan los vdeos y se desentienden. Te llevar de la mano para que logres los resultados que buscas.PORQUE es un curso COMPLETO:La mayora de cursos slo ensean algunos de los mdulos y tienes que apuntarte a varios para completar tus conocimientos.PORQUE te doy una lista completa de los principales proveedores de globos en Europa y Amrica Latina:No te preocupes si no sabes dnde o cmo conseguir los globos y el resto de materiales y herramientas que vers en el curso. Te dar un listado de proveedores por pases de tiendas online y fsicas."
Price: 199.99  |
| "Curso de Decoracin con Globos: Mueca de comunin" |
| "Tanto si quieresIMPRESIONAR A FAMILIARES Y AMIGOSen tus fiestas oEMPEZAR UN NUEVO Y LUCRATIVO NEGOCIOdecorando con globos de manera profesional, ste es un curso que necesitas. Aprenders de manera PROFESIONAL, fcil y clara a realizar una MUECA DE COMUNIN, utilizando globos. Conocers desde las herramientas y materiales imprescindibles, hasta las tcnicas ms avanzadas. Te ensear y te guiar a travs deleccionessencillas y amenasPASO A PASO, explicadas de manera muy exhaustiva en vdeo, que te llevarn a poder realizar esta figura que tanto te gusta,en muy poco tiempo y ahorrando mucho dinero."
Price: 49.99  |
| "Curso de Decoracin con Globos: Centro de Mesa Infantil" |
| "Tanto si quieresIMPRESIONAR A FAMILIARES Y AMIGOSen tus fiestas oEMPEZAR UN NUEVO Y LUCRATIVO NEGOCIOdecorando con globos de manera profesional, ste es un curso que necesitas.En este curso aprenders a elaborar de manera PROFESIONAL, fcil y clara, un hermoso Centro de Mesa Infantil, utilizando globos. Conocers desde las herramientas y materiales imprescindibles, hasta las tcnicas ms avanzadas.Te ensear y te guiar a travs deleccionessencillas y amenasPASO A PASO, explicadas de manera muy exhaustiva en vdeo, que te llevarn a poder realizar esta figura que tanto te gusta,en muy poco tiempo, y sin necesidad de tener conocimientos previos de decoracin con globos."
Price: 24.99  |
| "Curso de Decoracin con Globos: Columna de Globos Temtica" |
| "Tanto si quieres IMPRESIONAR A FAMILIARES Y AMIGOS en tus fiestas o EMPEZAR UN NUEVO Y LUCRATIVO NEGOCIO decorando con globos de manera profesional, ste es un curso que necesitas. En este curso aprenders a elaborar de manera PROFESIONAL, fcil y clara, una hermosa y llamativa COLUMNA DE GLOBOS DE CUMPLEAOS. Aprenders nuevas tcnicas de distorsin y tejido de globos.Conocers desde las herramientas y materiales imprescindibles, hasta las tcnicas ms avanzadas. Te ensear y te guiar a travs de lecciones sencillas y amenas PASO A PASO, explicadas de manera muy exhaustiva en vdeo, que te llevarn a poder realizar esta figura que tanto te gusta, en muy poco tiempo, y sin necesidad de tener conocimientos previos de decoracin con globos."
Price: 49.99  |
| iOSKerasCoreML |
| "PythoniOSiOSSwiftSwift============= macOS Sierra10.12.6Xcode 9.0"
Price: 18600.00  |
| "Master Puppet for DevOps Success" |
| "Over ten years ago Puppet took the IT world by storm at the time the DevOps movement was beginning to emerge and deliver a fundamental shift in how we deploy, configure and manage infrastructure. Today Puppet is used by thousands of organisations world wide and continues to be a central pillar in the DevOps toolchain space. With over 10 years experience working with Puppet and publishing many open source projects and insightful articles that have changed the way people use Puppet, industry expert Craig Dunn brings you this concise training course where he will teach you many of the advanced features of Puppet and it's language so that you can achieve DevOps success in your organisation by leveraging the power of this essential tool.This training course focuses on the advanced language features of Puppet to write powerful Puppet modules to automate your infrastructure. Designed to take you from complete beginner to power user over the course of several instalments. Each section contains a series of slide presentations with lectures followed by interactive demos in a terminal session that you can follow along to. We will begin with a basic introduction to the concepts of configuration management and where Puppet fits in to your toolchain. We then look at Puppet resources, the building blocks of Puppet and how resources are used internally by Puppet to manage your configuration. We then introduce the Puppet language (DSL) and walk you through how to write Puppet resource as code, build Puppet modules and serve that configuration to your agent nodes.The second part of this course will give you a deep dive into the Puppet language. Everything in this course is kept up to date with the very latest developments and you will the language to a very advanced level incorporating all of the newest features introduced in the latest versions of Puppet."
Price: 159.99  |
| "Character Design & Digital Art Demo in Adobe Illustrator" |
| "Resolution free digital art!Are you looking to start your career as a character designer? Are you looking for a way to hone your digital art skills? In this course, you will learn how to digital paint in Adobe Illustrator. I'll walk you through the entire process from start to finish.The techniques I'm using in this video series can be carried over into many other painting applications. The methods I'm using are particular to Adobe Illustrator. This video will focus primarily on how to digital paint in the broadest sense so we can apply the knowledge to any other process as we see fit.Digital painting in Adobe Illustrator allows you to adapt your character designs for many uses and sizes. Since vectors are scalable and do not pixelate when resized.Just imagine the implications.In this course, you will learn:how to get started digital paintinghow to create brusheshow to build line art and texturehow to work with highlights and shadowshow to develop a value scale with vectorsand much more!Enroll today!"
Price: 99.99  |
| "Dynamic 2D Character Animation and Character Design Workflow" |
| "In this course, I will teach you how to design and animate 2-D game characters in the simplest, clearest way possible. You will get an over the shoulder viewpoint of my actual workflow from start to finish.By the end of the series, you will be able to build modular game characters that allow for an unlimited amount of movement and poses needed for most game characters. You will learn how to create expressions and switch them out depending on what actions the characters were taking.In this course, you will learn:how to design a 2-D game character that works across all screenshow to apply color theory to your game characterhow to build a modular 2-D game characterhow to navigate Spriter's timelinehow to work with my ""Foundation First"" approach to animation and designand much more!Always start with the end in mind!In this course, you will not only learn how to animate 2-D game characters, but I will also teach you how to design characters for multiple screen sizes. Screens are now smaller than ever, and not everyone plays games on a TV, so is essential that we maximize the screen real estate so the main character stands out as they should.We will also touch on simple color theory so we can create a color scheme for the character that works well with his environment. We will design the character in specific proportions that will allow for the most readability and clear understanding of what the characters capable of as soon as the player sees and interacts with the character.We will then move on to a basic walk cycle building off the momentum from the simple jump animation we just finished creating. The methodology I'll be using for these lessons is that we make a solid foundational animation, then overlay our secondary animation over the foundation, this ensures that the core animation is complete and we don't get bogged down with details too early.Enroll today!"
Price: 99.99  |
| "Cartoon Drawing and Illustration" |
| "The right skills for the job!Are you looking to start your career as a character designer or animator? Are you looking to sharpen up your Illustration skills? In this course, you will learn how to create a 2-D game character without the use of a sketch. I'll walk you through the entire process from start to finish.The techniques I'm teaching you in this course can be translated over to other Illustrationprojects as well. By the end of this course, you will learn how to create a stylized game character that has a strong visual presence. I will teach you how to build a color palette that will make sure the character pops off your screen. I will show you how to work with the line of action to develop a fluid gesture foundation which will use to build our character's action pose.In this course, you will learn:how to design a 2-D game character that works across all screenshow to apply color theory to your game characterhow to build a modular 2-D game characterhow to work with my ""Foundation First"" approach to character designand much more!Enroll today!"
Price: 39.99  |
| "Futuristic Character Design for 2D Game Artist" |
| "Are you looking boost your skills as a character designer? Do you want to master dynamic lighting?In this course, you will learn how to design a futuristic 2D game character.I'll walk you through the entire process from start to finish.The course will focus on the fundamentals of character design and development in the 2D space. I will teach you how to to use advanced techniques such as opacity masking and blend brush creation. We will touch on the fundamentals of color palette creation and apply it to our design.In this course, you will learn:how to get started digital paintinghow to create brusheshow to build line art and texturehow to work with highlights and shadowshow to develop a value scale with vectorsand much more!Enroll today!"
Price: 99.99  |
| "Character Design and Illustration: The Licker in the Womb" |
| "Resolution freeCharacter Design and IllustrationAre you looking to start your career in character design? Are you looking for a way to hone your digital art skills? In this course, you will learn how to digital paint in Adobe Illustrator. I'll walk you through the entire process from start to finish.The techniques I'm using in this video series can be carried over into many other painting applications. The methods I'm using are particular to Adobe Illustrator. This video will focus primarily on how to digital paint in the broadest sense so we can apply the knowledge to any other process as we see fit.Digital painting in Adobe Illustrator allows you to adapt your character designfor many uses and sizes. Since vectors are scalable and do not pixelate when resized.Just imagine the implications.In this course, you will learn:Render a unique character designhow to create brusheshow to build line art and texturehow to work with highlights and shadowshow to develop a value scale with vectorshow to make the character design process as pain free as possibleand much more!Enroll today!"
Price: 99.99  |
| Comics |
| "La propuesta de este curso es explicar los conceptos bsicos de como trabajar uma historieta a partir de um guin.Vamos a analizar cada pgina, cuadro por cuadro, buscando los mejores encuadramientos, para construir uma histria dinmica e interesante para el pblico.Este es el proceso: dibujar un boceto para cada ida de escena buscando la mejor forma de narrativa y teniendo em cuenta la convivencia con los dems cuadros de la pgina."
Price: 19.99  |
| "Learn Basic Fractions and Integers" |
| "This course will teach you how to Add, subtract, multiply, and divide fractions and integers. If you have ever wanted to do this (or have children that want to learn) this is for you. It is explained step by step, to make things easier for people that want a bigger explanation than what they get in many math classes. This course can be helpful for adults learning basic math skills before they move on to college math."
Price: 19.99  |
| "Introduction to Parts of Speech and Punctuation" |
| "Anyone from middle school up to college students, at sometime you will have to write papers. One of the hardest things for those that didn't learn it when they are young is to use punctuation correctly. Another thing is when they compose sentences to know when to use certain parts of speech like adverbs. This course gives an introduction for these things. While I had middle school students in mind, the things contained in the videos (ANDPDFfiles) will hopefully give you a beginning foundation for things you need to know to write papers, and not make simple mistakes that can give you a lesser grade than you deserve."
Price: 19.99  |
| "DevOps Tutorial: Complete Beginners Training - 5 in 1 Bundle" |
| "What is this course about:In this course You will learn Hands on Devops Technology Concepts.We will Cover:DockerJenkinsGITMavenWhat willyou learn from this lecture:In particularly, you will learn:Containerize a web-based application with a micro-service approach and automate it using Dockerfile.Design multi-container applications and automate the workflow using Compose.Scale Docker workflow with Docker Swarm, orchestrate and deploy a large-scale application across multiple hosts in the cloud.Best practices of working with Docker software in the field.In-depth knowledge about Docker software and confidence to help your company or your own project to apply the right Docker deployment workflow and continuously deliver better software.Invaluable DevOps skills such as setting up continuous integration pipelines.**************************************************FAQ 1:DevOps Engineering Jobs and Career Opputunities:-Engineering is a trending course from past few years ove the world. Every year there are many engineering graduates coming out from each part of country . Be it Chennai Or Kashmir, from north to south. Process of manufacturing engineers is continuing at a fast increasing rate. But jobs in engineering are very less. There is a strong need of quality engineers.For an IT job, there is fight from all section of Engineering. Be it computer engineer, civil engineer or electronic engineer. If you go for online job search, latest job trend is DevOps. DevOps is an abbreviation for its two words. Dev implies to development and Ops stand for operation. DevOps offers various types of job opportunities for you, like engineering project manager, development engineering manager, automation engineers and many more various types of best jobs. Let's have a closer look at how DevOps is a better career choice for you:Packaging:-DevOps is awesome if you love to explore and play with variety of Technology and processes. In my opinion the first thing to consider is the Packaging of IT that the tech teams used to provide the organisations services. The maleable the packaging the easier it is to keep everything standardized and reusable. If you are are comfortable working with configuration management systems and developing some imaging systems such as docker you will like DevOps. Closer look to the recent trends tells us the amount of new technologies that are being released into the market is growing exponentially. In DevOps no technology is beyond limits and you find yourself constantly working with integrated and automating different Technologies. In DevOps your goal is to create machines as machine manageable data objects that are completely completely hands off on the production. The goal is to to allow programs written by different teams to efficiently automate as much as possible.Scaling:-You will definitely like DevOps if reusability is your passion. In my opinion the biggest factor in the successful tech organisations of the future will be their ability to scale rapidly while being able to deflate when not needed to minimise costs in downtime.If the Application is reliable ,zippy and meet their needs, customers don't care about the tech behind it. They simply want speed.Scalability is a hard thing to achieve and most would rather not have to worry about it, which is self explanatory about the growth scalability as a service offering.Now, Ask yourself. Do you want to jump from mobile to AI? DevOps will allow you. Do you want to play with that new SaaS service that is in trend these days? DevOps will let you do that.DevOps is all about being the glue that holds everything and everyone together, and if you ask me, that is what makes it so exciting. The possibilities are beyond limits and the technologies are always growing and evolving at an unexplanatory and unimaginable speed. And if you dont focus on DevOps, you will still somehow have to manage infrastructure as a developer.Q. What is the need for DevOps?As per me, this answer should start by explaining the general market trend. Instead of releasing big sets of features, companies see if small features can be transported to their customers via a series of release trains. This is very much advantageous like quick feedback from customers, better software quality, etc. which in turn takes the company to high customer satisfaction. To achieve this, companies are required to:Increase frequency of deploymentLower the New releases failure rateShorten their lead time between fixesDevOps lets you achieve seamless software delivery and fulfills all above requirements. You can give examples of companies like Amazon, Etsy, and Google who have welcomed DevOps to achieve levels of performance that were unimaginable even five years ago.Q. Explain your understanding and expertise on both the software development side and the technical operations side of an organization youve worked for in the past.DevOps engineers always work in a 24*7 critical business online environment. In my previous job, I was very much adaptable to on-call duties and was able to take up real-time, live-system responsibilities. I was successful in automated processes to support continuous software deployments. I have pretty good experiences with public as well as private clouds, DevOps tools like CHEF or PUPPET, scripting and automation with languages like PYTHON and PHP, and a background in AGILEQ. What is Git?I will suggest that you attempt this question by first explaining about the architecture of Git.Git is a form of Distributed Version Control system (DVCS). It lets you track changes to a file and allows you to revert to any specific change.Its distributed architecture makes it more advantageous over other Version Control Systems (VCS) like SVN. Another major advantage of Git is that it does not rely on a central server to store all the versions of a projects files. Instead of that, every developer gets clones the copy of a repository. Local repository has the full history of the project on its hard drive so that when there is a problem like a server outage, you need your teammates local Git repository for recovery.There is a central cloud repository as well where developers can commit changes and share it with other teammates where all collaborators are committing changes Remote repository""Q. In Git how do you revert a commit that has already been pushed and made public?There are two possible answers to the above question so make sure that you include both because any of the below options can be used depending on the situation's demand:Remove the bad file in a new commit and push the file to the remote repository. This is the most common and natural way to fix a bug or an error. Once you have included necessary changes to the file, commit it to the remote repository. For that purpose I will use the commandgit commit -m commit message""Now, Create a new commit that will undo all the changes that were made in the bad Commit. To do so I will be using the commandgit revert <name of bad commit>Q. How is DevOps different from Agile / SDLC?I would suggest you go through the below explanation:Agile is a set of values and principles about how to develop a software. For an instance: if you have some idea about something and you want to turn that idea into a working software the Agile values and principles can be used as a way to do that. But, that software might only be working on a developers laptop or within a test environment. You need a way to easily, quickly and repeatably move that software into production infrastructure, in a simple and safe way. To do that DevOps tools and techniques are required.In a nutshell, Agile software development methodology keeps its focus on the development of software but, on the other hand, DevOps is responsible for development as well as the deployment of the software in the safest and reliable possible way.Now remember, keep this thing in mind, you have included DevOps tools in the previous answer so be prepared to answer some questions related to that. They might be thrown at you.Q. Which are the top DevOps tools? Which tools have you worked on?Few of The most famous DevOps tools are mentioned below:Git: Version Control System toolJenkins: Continuous Integration toolSelenium: Continuous Testing toolPuppet, Chef, Ansible: Configuration Management and Deployment toolsNagios: Continuous Monitoring toolDocker: Containerization toolYou can also include any other tool if you want, but make sure you use the above tools in your answer.The second part of the answer could have two possibilities:If you have enough experience with all the above-mentioned tools then you may mention that I have worked on all these tools for developing good quality software and deploying that software easily, frequently, and reliably.If you have experience with only with few of the above tools then name those tools and say that I have specialization in these tools and have an overview of the rest of the tools.Q. How do all these tools work together?The code is developed by the developers and its source code is managed by Version Control System tools like Git etc.Developers transmit this code to the Git repository and any transformations made in the code is committed to this Repository.Jenkins extracts this code from the repository using the Git plugin and creates it using tools like Ant or Maven.Configuration management tools, puppet, deploy & provisions testing environment and after that Jenkins releases the code in the test environment on which testing is done using tools like selenium.After the code gets tested, Jenkins sends it for deployment on the production server (even the production server is provisioned & maintained by tools like the puppet).After its deployment, It is continuously monitored by tools like Nagios.Docker containers provide the testing environment to test the build features.Q. What is Version control?I guess this is the easiest question you could face in the interview. My take is to first define Version control. It is a system that keeps records of changes to a file or set of files over a period of time so that they can be recalled after specific versions later. Version control systems consist of a centrally shared repository where teammates can commit changes to a file or set of file. Then you might mention the uses of version control.Version control allows you to:Restore back files to a previous state.Restore back the entire back to a previous state.Compare changes over a period of time.The issue was introduced by whom and when.Q. What are the benefits of using version control?The following advantages of version control are suggested to be used:Version Control System (VCS), allows all the team members to work freely over any file at any point of time. VCS later allows you to merge all the changes into a common version.All the past versions and variants are nicely and systematically encapsulated inside the CVS. Whenever you need it, you may request any version of software at any time and you can have a snapshot of the complete project right away.Each time you have an updated version of your project, VCS requires you to provide a short info about what was changed. Also, you can see what exactly was altered in the files content. This gives you the privilege to know who has made what altered the project.A distributed VCS like Git provides all the team members about the complete history of the project so if there is a breakdown in the central server, you may use any of your teammates local Git repository.Q. Describe branching strategies you have used.?This question tests your branching experience so tell them about how you have used branching in your past jobs and what purpose does it serves, you can refer the below points:Feature branching:A feature branch model holds all of the changes for a particular feature inside of a branch. When the feature is completely tested and validated by the automated tests, the branch is then added to the master.Task branching:In this model, each task is implemented over its own branch with the task key included inside the branch name. It is easy to notice which code implements which task, just search for the task key in the branch name.Release branching:Once the developed branch acquires enough features for a release, you can get that branch cloned to form a Release branch. Making this branch starts the further release cycle, so no extra features can be added after this point, only bug fixes, documentation generation, and other release-oriented tasks should get on this branch. Once it is ready to be shipped, the release gets merged into master and tagged with a version number. In addition, it should be merged back inside develop branch, which might have progressed since the release was initiated.At the end, tell them that branching strategies vary from one organization to another, so I am familiar with basic branching operations like delete, merge, checking out a branch etc.Q. What is meant by Continuous Integration?It is advised to begin this answer by giving a short definition of Continuous Integration (CI). Continuous Integration is a development practice that needs developers to integrate code into a shared repository many times a day. Each check-in gets verified by an automated build, allowing teams to detect problems early.I would suggest you explain how you have implemented it in your previous job.Q. Explain how you can move or copy Jenkins from one server to another?I could have achieved this task by copying the jobs directory directly from the old server to the new one. There are many ways to do that; They are mentioned below:You can:Moving a job from one installation of Jenkins to another by simply copying and pasting the corresponding job directory.Create a copy of an existing job by making a clone of a job directory by a different name.Rename an existing job by renaming a directory. Notice that if you change a job name, then you will need to change any other job that tries to call the renamed job.Q. Explain how can you create a backup and copy files in Jenkins?The question has a direct answer. To create a backup, all you need to do is to back up your JENKINS_HOME directory at regular intervals of time. JENKINS_HOME directory contains all of your build jobs configurations, slave node configurations, and build history. For generating a backup of your Jenkins setup, simply copy its directory. You may also copy a job directory for cloning or replicate a job or rename the directory.Q. How will you secure Jenkins?The most common way of securing Jenkins is given below. But if you have any other way of doing it, you may go with it, but make sure you are correct:Make sure that the global security is on.Make sure that Jenkins is integrated with my companys user directory using the appropriate plugin.Make sure that matrix/Project matrix is enabled for getting the fine tune access.Automate the setting rights/privileges process in Jenkins with custom version controlled script.Bound the physical access to Jenkins data/folders.Run security audits on same over a period of time.Q. What is Continuous Testing?It is advised to follow the under mentioned explanation:Continuous Testing is the process of executing automated tests as a part of the software delivery pipeline to produce immediate feedback over the business risks associated with the latest build. In this method, each build gets tested continuously, allowing Development teams to get fast feedbacks so that as to prevent those problems from progressing to the successive stage of Software delivery life-cycle. Continuous Testing speeds up a developers workflow dramatically as theres no need to manually rebuild the project and re-run all of the tests after making changes.Q. What is Automation Testing?Automation testing or Test Automation is a process of automating the manual process for testing the application/system under test. The Process involves the use of separate testing tools which allows you to create test scripts which can be executed repeatedly and doesnt require any sort of manual intervention.Q. What are the benefits of Automation Testing?Some of the many advantages of Automation Testing are mentioned below. Including these points in your answer and adding your own experience of how Continuous Testing helped you previous in your previous job, will make an impressive and impacting answer:Supports execution of repeated test casesAids in testing a large test matrixEnables parallel executionEncourages unattended executionImproves accuracy thereby reducing human-generated errorsSaves time and moneyQ. What is the difference between Assert and Verify commands in Selenium?The basic difference between Assert and Verify command is given below:Assert command checks if the given condition is boolean true or boolean false. For an instance, say, we assert whether the given element is present on the web page or not. If the condition results to be true, then the program control will execute the next test step. But, if the condition results in false, the execution would be terminated and no further test would be executed.Verify command also performs check whether the given condition is true or false. Irrespective of the condition being true or false, the program execution doesnt stop i.e. if the verification process fails, it would not stop the execution and all the test steps will be executed.Q. How can be a browser launched using WebDriver?The following syntax could possibly be used to launch Browser:WebDriver driver = new FirefoxDriver();WebDriver driver = new ChromeDriver();WebDriver driver = new InternetExplorerDriver();Q. What are the goals of Configuration management processes?The basic purpose of Configuration Management (CM) is to ensure if the product is integral or system throughout its life-cycle by making t0he development or deployment process controllable and repeatable, thus creating a higher quality product or system. The Configuration Management process allows orderly management of system information and system changes for purposes such as to:Revise capability,Improve performance,Reliability or maintainability,Extend life,Reduce cost,Reduce risk andLiability, or correct defects.Q. What is the difference between an Asset and a Configuration Item?As per me, first of all, Asset should be explained. It has a financial value along with a depreciation rate attached to it. IT assets are just a sub-set. Everything and anything that holds a cost and the organization uses it for the calculation of its asset value and related benefits in the calculation of tax falls under Asset Management, and such item is called an asset.On the other hand, Configuration Item may or may not have financial values assigned to it. Also, there will not be any depreciation linked to it. Thus, its life will not depend on its financial value but will depend on the time till that item becomes obsolete for the organization.Now examples can be given that can showcase the similarity and differences between both:1) Similarity:Server It is both an asset as well as a CI.2) Difference:Building It is an asset but not a CI.Document It is a CI but not an assetQ . What is Chef?Start the answer with the definition of Chef. The Chef is one of the powerful automation platforms that turns infrastructures into code. A chef is a tool for which scripts are written that are used to automate processes. What kind of processes? Any process that is related to IT.Now the architecture of Chef can be explained, it consists of:Chef Server: The Chef Server is the central store of infrastructures configuration data. The Chef Server stores the data necessary to configure the nodes and provides search. ChefServer is a powerful tool that lets you to dynamically drive node configuration based on data.Chef Node: Node is any host that gets configured using Chef-client. Chef-client runs on nodes. ChefNode contacts the Chef Server for the information necessary to configure the node. Now, since a Node is just a machine that runs the Chef-client software, nodes may be sometimes referred to as clients.Chef Workstation: A Chef Workstation is a host used to modify cookbooks and other confrontational data.Q2. What is Nagios?This question can be answered by first mentioning that Nagios is one of the monitoring tools used for Continuous monitoring of systems, applications, services, and business processes etc in DevOps culture. If a failure occurs, Nagios alerts technical staff about the problem, that allows them to begin remedial processes before outages affect business processes, end-users, or customers. With Nagios, you need not explain why an unseen infrastructure outage affects your organization's bottom line.Now once you defined what is Nagios, you can mention various things that can be achieved using Nagios.By using Nagios you can:Plan for infrastructure upgrades before outdated systems cause failures.Response to the issues at problems first sign.Automatically fix detected problems.Coordinate easily with technical team responses.Ensure that your organizations SLAs are being met.Monitor your entire infrastructure and business processes.Nagios runs on a server, usually as a daemon or service. Nagios runs plugins residing on the same server over a period of time. They make contact to hosts or servers on your network or over the internet. One can see the status information using the web interface. Nagios also sends email or SMS notifications if something happens.The Nagios daemon acts like a scheduler that executes certain scripts at certain moments. It then saves the results of those scripts and will run other scripts if these results change.*****************************************************************************************************DevOps Job DescriptionDemand for people with DevOps skills is growing at a fast and steady rate because businesses are getting great results from DevOps. Organizations using DevOps practices are surprisingly high-functioning: -They can deploy code up to 30 times more frequently than their competitors, and 50 percent lesser of their deployments fail.With all this goodness, you would be thinking that there must be lots of DevOps engineers out there. However, just 18% of survey respondents in the survey said someone in their organization actually held this title. Why is that? Partly, it is because defining what a DevOps engineers can do is still in flux. Although, That is not stopping companies from hiring for DevOps skills. On LinkedIn, people's mentioning of DevOps as a skill has seen a rise of 50 percent over the past few years. A survey revealed the same trend:Half of about 4,000-plus respondents (in more than 90 countries) said their companies are considering DevOps skills while hiring.What are DevOps skills?The survey identified the top three skill areas for DevOps staff:Coding or scriptingProcess re-engineeringCommunicating and collaborating with othersThe above-mentioned skills point to a growing recognition, that software isnt written in the old stereotypical way anymore. Where software was written from scratch using a highly complex and lengthy process. Also, creating new products is now a matter of selecting open source components and binding them together with code. The complexity of todays software lies less in the programming, and more in ensuring that the new software works over a diverse set of operating systems. Making it platform independent right away. Same way, testing and deployment are now done at a much more frequency. That is, they can be more often if developers start communicating more early and regularly with the operations team, and also if, operations people bring their knowledge of the production environment to design of testing and staging environment.What is a DevOps engineer, anyway? And should anyone hire them?Theres no formal cliched career track for kickstarting your career as a DevOps engineer. They are maybe developers who get interested in deployment and network operations, they might be sysadmins who have an affinity for scripting and coding. Whatever world they are from, these are people who have pushed themselves out of their comfort zone of their defined areas of competence and who have a more holistic view of their technical environments.DevOps engineers are a quite elite group, so its not astonishing that we found a smaller number of companies creating that title. Kelsey Hightower, head of operations at Puppet Labs, described these people as the Special Forces in an organization. The DevOps engineer encapsulates depth of knowledge and years of hands-on experience, Kelsey says, Youre battle tested. This person blends the skills of the business analyst with the technical chops to build the solution - plus they know the business well, and can look at how any issue affects the entire company.So, in a nutshell, DevOps provides you lots of career opportunities and companies are ACTUALLY hiring DevOps engineers.******************************************************************************Object-Oriented Programming:-Object-Oriented Programming or commonly called OOPs isThere are 5 basic concepts of OOPs. Let's have a closer look at each of them.1. AbstractionThis is the property of OOPs which refers to the act of representing only the essential details and hidingthe background data. Consider a car as your object. You are told that if you apply the brakes, the vehiclestops. The background details, like the mechanism how the fluid runs through, the brake shoes stoppingthe wheel, etc. are hidden from you. This is what abstraction is. Abstraction is the advantage that youget from Object Oriented Programming over Procedural Oriented Programming.2. EncapsulationThe process of binding characteristics and behavior in a single unit is simply known asLet's get back to our previous example of a car. In a car, we have a steering that helps to change the direction, we have brakes to stop the car, we have a music system to listen to music, etc. These all units are capsuled (or ENcapsuled) under a single unit called CAR. Like objects, each unit has its owncharacteristics as well as behavior.It is a common observation that a class encapsulates objects of the similar kind under a single unit.3. ModularityModularity is the feature of Object Oriented Programming that allows us to break a bigger problem insmaller chunks and assemble it together, later. For an instance, during the manufacturing of a car, partsare constructed separately. Like there is a unit that makes the engine, a unit makes the outer body, aunit makes the interior, etc. Later on, all the parts are assembled at one place. This way, a big problem is divided into small chunks and handled easily.In Object Oriented Programming, Modularity is implemented by functions.4. InheritanceInheritance is the capability of a class to inherit the properties of some other class. For an example,consider CAR as a class. Now let's take TOYOTA, NISSAN, SWIFT, HYUNDAI, etc. as some other class.These classes will have them some individual properties but they will inherit some of their propertiesfrom the class CAR. Like moving on applying accelerator, stopping when brakes are applied, etc.The inheriting class is called the subclass whereas the inherited class is called base class. In the aboveexample, CAR is the base class and others are a subclass.5. PolymorphismThe act of existing in more than one formLets again get back to our example of cars. Consider a class called HYUNDAI. The HYUNDAI class has anobject i10. Now there can be many cars with the name i10, but they have a unique identification. (either by their registration number or engine number, we are not concerned here about that)In an Object Oriented Programming language, there can be many functions with the same name butthey should be of different parameters.So now you know, the 5 pillars of Object Oriented Programming.Happy coding!*******************************************************************************DevOps For Dummies- A Wiley Brand is an IBM limited edition written by Sanjeev Sharma and Bernie Coyne. Earlier it was written only by Sanjeev Sharma alone, but in the latest third edition, Bernie Coyne co-authored the book. This is a book for the people interested in DevOps. It takes you from beginner to advanced level. The book is available in the form of electronic media i.e. e-book. The free of cost book comes from IBM.Go to the link above and fill in your details, and you will get the download link of your copy.Let's take a look at the book's features:Cover Page:- It is often said, don't judge a book by its cover. But we humans are very much stubborn and the cover matters the most for the readers, as it lures them towards itself. The cover page for DevOps for dummies is a mixture of Black, blue and yellow color; with an animated geeky face outline. At the top, IBM logo resides with its full dignity. The middle right half of the page covers the main outlines of the book:The business needs and value of DevOps.DevOps capabilities and adoption path.How Cloud accelerates DevOps. Table Of Content:- Next, as we turn over the ""virtual pages"" comes the table of content. This gives an overview of what you are going to learn from this book. There are chapter names with their subtopics under them. The chapter names are as follows:-1.What is DevOps?2.Looking at DevOps capabilities.3.Adopting DevOps.4.Looking at how cloud accelerates DevOps.5.Using DevOps to solve new challenges.6.Making DevOps work: IBM's Story.7.Ten DevOps myths.Introduction:-Next, comes in the introduction part. In the first line, the meaning of DevOps with its expanded form of Development and Operations is explained. Everyone talks about it, but not everyone is familiar with it. In a nutshell, DevOps is an approach based on lean and agile principles in which business owners and the development, operations, and quality assurance departments collaborate to deliver software in a continuous manner. The further lines tell about the IBM's broad and holistic view towards DevOps. The book tells what a true DevOps approach includes:Lines of business, practitioners, executives, partners, suppliers, and so on.About the book:-The about the book section gives an overview of the book.The book takes a business-centric approach to DevOps. Todays rapidly advancing world makes DevOps essential to all enterprises that should be agile and lean enough to respond rapidly to the changes such as customer demands, market conditions, competitive pressures, or regulatory requirements.It is assumed that, if you are reading this book, youve heard about DevOps but want to understand what it means and how your company can gain business benefits from it. This book is targeted for executives, decision-makers, and practitioners who are new to the DevOps, seeking info about the approach, who want to go through the hype surrounding the concept to reach t"
Price: 19.99  |
| "Ansible Automation For Beginners to Advance - Step by Step" |
| "Have You interested in automation using Ansible? But dont know where from You start?Well, this Ansible course will learn you, how you can Know Automation within few months.This is a professional Ansible video course, created by an Automation Experts having 5+ years of experience in this field.This course starts with the architecture of Ansible. Ansible automation engine thats automated cloud Multi-tier deployments provisioning configuration management application deployment intra service orchestration and many other IT needs.Radically simple IT automation about practical, abstracts items.Playbook in Ansible is written in YAML format, commonly used for configuration files.Ansible defines a rich set up of variables, individual for each system.The Ansible course divided into six sections, starting with initial installation of Ansible and foundation concepts.What is Ansible? Ansible is anopen-source IT automation platform.It can remove a huge drudgery from your work life.It also improve the scalability, consistency, and reliability of the IT environment. In this course, well start to explore how to automate all the repetitive system administration tasks using Ansible.Ansible used for many applications where data is being stored. Most of them which are defined previously to enable more flexibility in Ansible playbooks and roles. Apart from this uses values, Access various information like the hostname of the system and replace certain strings in templates with specific values. There is naming variable. Variable Names should be letters, numbers or underscores.Mastering Ansible is a step by step journey of learning Ansible for configuration management and orchestration.Interesting Ansible course is designed by a journey through configuring a practical application stack from the ground.In addition the concepts of configuration management of Ansible we spent the time to build some tools to maintain troubleshoot our application.The Ansible course is designed mainly for the introduction of Ansible but at the same time its a guide for Engineers interested in Ansible configuration management and orchestration, IT automation, infrastructure as code DevOps principles.Here is no required for previous programming and automation experience.What is in this Ansible course?The Ansible course introduces a beginner to basic fundamental of Ansible that you can easily do hands-on exercises right in the browser.The course provides basic use cases of Ansible followed by the introduction of an Ansible inventory, Configuration Management, patterns,Playbooks, Modules, Conditionals, Loops and Roles, Ansible With Vagrant.Let's have a quick look what you are going to discuss throughout the whole course!Ansible Inventory: At the same time Ansible works against multiple systems in your infrastructure. It does this by selecting portions of systems listed in Ansible inventory.Ansible Configuration Management: Ansible is the simplest solution for configuration management.The descriptive data (both human readable and machine parsable) ensuring everyone and able to understand the meaning of each Configuration task.configuration management designed for consistent secure and highly reliable with the extremely low learning curve for Administrators, developers and IT manager.Ansible Playbooks: Playbooks are Ansibles configuration, deployment, and orchestration language. Many Ansibles application which defined previously to enable more flexibility in playbooks.Ansible With Vagrant: Ansible With Vagrant allows to provides the guest using Ansible Playbooks by executing Ansible Playbook from Vagrant host.General Ansible concepts like playbook or inventory are shortly explained in the introduction of Ansible With Vagrant.Ansible Modules: The section discuss how to develop, debug, review and test modules. A number of Modules in Ansible ship called The Modules Library which can be executed mainly on a remote host or through playbooks.What is so special in this Ansible course?The course is very simple, awesome, easy to understand, agentless, parallel execution, automatic reporting easy to use and at the same time it is a time saver, In a few months you know the course and become more productive in your own goal. This is the one and the only Ansible course that provisions coding exercise were you can practice Ansible Playbook right in your browser.How does Ansible work?Ansible connecting your nodes and pushing out small programs.Ansible works very simple and different way of setting up the Architecture, SSH keys and their roles and Managing Inventory.How does Ansible Playbook work?Ansible playbook works as an Ansible configuration, deployment, and orchestration language.The playbook can finely orchestrate multiple slices of your infrastructure topology with very detail control over how many machines to tackle at the same time.How does Ansible Tower work?Ansible tower works as a scale IT automation, manage complex deployments and speed productivity.The Ansible tower allows us to easily streamline the delivery of applications and service to both OpenStack and Amazon clouds in a cost-effective simple and secure manner.How does Ansible Vault work?Ansible Vault is a feature of Ansible that keeps sensitive data such as password or keys in encrypted files rather than a plaintext in playbook or role.Ansible Vault encrypts anything inside a YAML file, with a password in your own choice.The vault file can distribute or place in source control.What are the steps to start Ansible?At first, Ansible installs your local machine.In order for Ansible to connect your VPS, you need to specify its IP address within Ansible host file.Test out your configuration by pinging your VPS for If you are interested you can go through the article bellow:-.................................................................................................................................................In a previous guide, we discussedhow to install the Ansible software and learn basic commands. In this guide, we will discussAnsible playbooks, which are Ansible's way of creating automated scripts to configure client computers.We will assume that you have a configured Ansible server and a few clients, just as we left off in the last tutorial. In our guide, the server is a Ubuntu 12.04 machine, and the clients that we are going to be configuring are also Ubuntu 12.04 machines, for ease of explanation.What are Ansible Playbooks?Ansible playbooks are a way to send commands to remote computers in a scripted way. Instead of using Ansible commands individually to remotely configure computers from the command line, you can configure entire complex environments by passing a script to one or more systems.Ansible playbooks are written in the YAML data serialization format. If you don't know what a data serialization format is, think of it as a way to translate a programmatic data structure (lists, arrays, dictionaries, etc) into a format that can be easily stored to disk. The file can then be used to recreate the structure at a later point. JSON is another popular data serialization format, but YAML is much easier to read.Each playbook contains one or more plays, which map hosts to a certain function. Ansible does this through something called tasks, which are basically module calls.Exploring a Basic PlaybookLet's look at a basic playbook:---- hosts: droplets tasks: - name: Installs nginx web server apt: pkg=nginx state=installed update_cache=true notify: - start nginx handlers: - name: start nginx service: name=nginx state=startedLet's break this down in sections so we can understand how these files are built and what each piece means.The file starts with:---This is a requirement for YAML to interpret the file as a proper document. YAML allows multiple ""documents"" to exist in one file, each separated by---, but Ansible only wants one per file, so this should only be present at the top of the file.YAML is very sensitive to white-space, and uses that to group different pieces of information together. You should use only spaces and not tabs and you must use consistent spacing for your file to be read correctly. Items at the same level of indentation are considered sibling elements.Items that begin with a-are considered list items. Items that have the format ofkey: valueoperate as hashes or dictionaries. That's pretty much all there is to basic YAML.YAML documents basically define a hierarchical tree structure with the containing elements further to the left.On the second line, we have this:---- hosts: dropletsThis is a list item in YAML as we learned above, but since it is at the left-most level, it is also an Ansible ""play"". Plays are basically groups of tasks that are performed on a certain set of hosts to allow them to fulfill the function you want to assign to them. Each play must specify a host or group of hosts, as we do here.Next, we have a set of tasks:---- hosts: droplets tasks: - name: Installs nginx web server apt: pkg=nginx state=installed update_cache=true notify: - start nginxAt the top level, we have ""tasks:"" at the same level as ""hosts:"". This contains a list (because it starts with a ""-"") which contains key-value pairs.The first one, ""name"", is more of a description than a name. You can call this whatever you would like.The next key is ""apt"". This is a reference to an Ansible module, just like when we use the ansible command and type something like:ansible -m apt -a 'whatever' allThis module allows us to specify a package and the state that it should be in, which is ""installed"" in our case. Theupdate-cache=truepart tells our remote machine to update its package cache (apt-get update) prior to installing the software.The ""notify"" item contains a list with one item, which is called ""start nginx"". This is not an internal Ansible command, it is a reference to a handler, which can perform certain functions when it is called from within a task. We will define the ""start nginx"" handler below.---- hosts: droplets tasks: - name: Installs nginx web server apt: pkg=nginx state=installed update_cache=true notify: - start nginx handlers: - name: start nginx service: name=nginx state=startedThe ""handlers"" section exists at the same level as the ""hosts"" and ""tasks"". Handlers are just like tasks, but they only run when they have been told by a task that changes have occurred on the client system.For instance, we have a handler here that starts the Nginx service after the package is installed. The handler is not called unless the ""Installs nginx web server"" task results in changes to the system, meaning that the package had to be installed and wasn't already there.We can save this playbook into a file called something like ""nginx.yml"".Just for some context, if you were to write this same file in JSON, it might look something like this:[ { ""hosts"": ""droplets"", ""tasks"": [ { ""name"": ""Installs nginx web server"", ""apt"": ""pkg=nginx state=installed update_cache=true"", ""notify"": [ ""start nginx"" ] } ], ""handlers"": [ { ""name"": ""start nginx"", ""service"": ""name=nginx state=started"" } ] }]As you can see, YAML is much more compact and most people would say more readable.Running an Ansible PlaybookOnce you have a playbook built, you can call it easily using this format:ansible-playbook playbook.ymlFor instance, if we wanted to install and start up Nginx on all of our droplets, we could issue this command:ansible-playbook nginx.ymlSince the playbook itself specifies the hosts that it should run against (namely, the ""droplets"" group we created in the last tutorial), we do not have to specify a host to run against.However, if we would like to filter the host list to only apply to one of those hosts, we can add a flag to specify a subset of the hosts in the file:ansible-playbook -l host_subset playbook.ymlSo if we only wanted to install and run Nginx on our ""host3"", we could type this:ansible-playbook -l host3 nginx.ymlAdding Features to the Ansible PlaybookRight now our playbook looks like this:---- hosts: droplets tasks: - name: Installs nginx web server apt: pkg=nginx state=installed update_cache=true notify: - start nginx handlers: - name: start nginx service: name=nginx state=startedIt is simple and it works, but all it is doing is installing a piece of software and starting it. That's not very beneficial by itself.We can start to expand the functionality by adding tasks to our playbook.Add a Default Index FileWe can tell it to transfer a file from our Ansible server onto the host by adding some lines like this:---- hosts: droplets tasks: - name: Installs nginx web server apt: pkg=nginx state=installed update_cache=true notify: - start nginx - name: Upload default index.html for host copy: src=static_files/index.html dest=/usr/share/nginx/www/ mode=0644 handlers: - name: start nginx service: name=nginx state=startedWe can then make a directory calledstatic_filesin our current directory and place an index.html file inside.mkdir static_filesnano static_files/index.htmlInside of this file, let's just create a basic html structure:<html> <head> <title>This is a sample page</title> </head> <body> <h1>Here is a heading!</h1> <p>Here is a regular paragraph. Wow!</p> </body></html>Save and close the file.Now, when we re-run the Ansible playbook, Ansible will check each task. It will see that Nginx is already installed on the host, so it will leave it be. It will see the new task section and replace the default index.html file with the one from our server.Registering ResultsWhen you are installing and configuring services manually, it is almost always necessary to know whether your actions were successful or not. We can cook this functionality into our playbooks by using ""register"".For each task, we can optionally register its result (failure or success) in a variable that we can check later on.When using this functionality, we also have to tell Ansible to ignore errors for that task, since normally it aborts the Ansible playbook execution for that host if any trouble happens.So, if we want to check whether a task has failed or not to decide on subsequent steps, we can use the register functionality.For instance, we could tell our Ansible playbook to upload anindex.phpfile if it exists. If that task fails, we could instead try to upload anindex.htmlfile. We will check for the failure condition in the other task because we only want to upload the HTML file if the PHP file fails:---- hosts: droplets tasks: - name: Installs nginx web server apt: pkg=nginx state=installed update_cache=true notify: - start nginx - name: Upload default index.php for host copy: src=static_files/index.php dest=/usr/share/nginx/www/ mode=0644 register: php ignore_errors: True - name: Remove index.html for host command: rm /usr/share/nginx/www/index.html when: phpsuccess - name: Upload default index.html for host copy: src=static_files/index.html dest=/usr/share/nginx/www/ mode=0644 when: phpfailed handlers: - name: start nginx service: name=nginx state=startedNote: We have not configured our host to handle PHP files at this time, so even if you did upload a PHP file, it would not be processed correctly.This new version tries to upload a PHP index file to the host. It registers the success of the operation into a variable called ""php"".If this operation was successful, the task to remove the index.html file is run next.If the operation failed, the index.html file is uploaded instead.ConclusionNow, you should have a good handle on how to automate complex tasks using Ansible. This is a basic example of how you can begin to build your configuration library in Ansible .Combining host and group definitions as we learned about in the first tutorial, and using available variables to fill in information, we can begin to put together complex computer systems that interact with each other. In a future article, we will discuss how to implement variables into our Ansible playbooks and create roles to help manage complex tasks."
Price: 199.99  |
| "A Beginner introduction to Natural Language Processing" |
| "Today, with of Digitization everything, 80% the data being created is unstructured. Audio, Video, our social footprints, the data generated from conversations between customer service reps, tons of legal documents texts processed in financial sectors are examples of unstructured data stored in Big Data.Organizations are turning to Natural language processing (NLP) technology to derive understanding from the myriad of these unstructured data available online and in call-logs.Natural language processing (NLP) is the ability of computers to understand human speech as it is spoken. Natural language processing is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Machine Why Take This Course?Over the Topics of this course, youll become an expert in the main components of Natural Language Processing(NLP), including speech recognition, sentiment analysis, and machine translation. Youll learn to code probabilistic and deep learning models, train them on real data, and build a career-ready portfolio as an NLP expert!Learn cutting-edge Natural Language Processing(NLP) techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more!By this Natural Language Processing(NLP) course you can work on the Most Cutting-Edge Applications of present days.You can analyze Text using Natural Language Processing(NLP) techniques & Text MiningAs Natural Language Processing(NLP) provides a tool for humans to communicate with computers effectively,NLP is at the center of the AI revolution.In Current days the industry is hungry for highly-skilled data specialists, and through this Natural Language Processing(NLP) course youll begin making an impact right away.By taking this course master in Natural Language Processing(NLP) techniques with the goal of applying those techniques immediately to real-world challenges and opportunities. This is efficient learning for the innovative and career-minded professional AI engineer and getting a good grip on natural language processing(NLP).Youll learn how to build and code natural language processing(NLP) and speech recognition models in Python. The most effective way to learn natural language processing(NLP) is by having your code and solutions analyzed by AI experts who will give you powerful feedback in order to improve your understanding.What You Will Learn from this Natural Language Processing(NLP) courseStart mastering Natural Language Processing(NLP)!Learn cutting-edge natural language processing(NLP) techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more!PART OF SPEECH TAGGINGComputing with Natural LanguageLearn advanced techniques like word embeddings, deep learning attention, and more. Build a machine translation model using recurrent neural network architectures.MACHINE TRANSLATIONCommunicating with Natural Language.Learn voice user interface techniques that turn speech into text and vice versa. Build a speech recognition model using deep neural networks in natural language processing(NLP).SPEECH RECOGNIZERWe recommend our natural language processing(NLP) course as the perfect starting point for your deep learning education.The advanced natural language processing(NLP) techniques allow the non-programmers to interact with the computing systems and obtain useful information from it. Using natural language processing(NLP) the common synonyms for the input phrases can be detected and match them with the right answers, it helps the users who are unfamiliar with the terminologies of the computing system. Spam filtering, language understanding, text classification, information extraction, question answering, Social website feeds, Voice recognition and speech-to-text are the other typical applications of natural language processing(NLP) There are many open source Natural Language Processing (NLP) libraries and these are some of them:Natural language toolkit (NLTK)Gate NLP libraryApache OpenNLP.Stanford NLP suiteMALLETNLTK is more popular and the leading platform for building natural language processing(NLP) applications, which is written in python. It provides an intuitive framework along with substantial building blocks, consistent interfaces and data structures.By the end of this course you will:Have an understanding of how to use the Natural Language Tool Kit.Be able to load and manipulate your own text data.Know how to formulate solutions to text based problems.Know when it is appropriate to apply solutions such as sentiment analysis and classification techniques.What is Natural Language Processing (NLP) ? Natural Language Processing or NLP is ability of machines to understand and interpret human language the way it is written or spoken.The objective of Natural Language Processing(NLP) is to make our computers or machines as much intelligent as the human beings are in understanding various types of language.The ultimate goal of Natural Language Processing is filling the gap between natural language and machine language. Natural language processing (NLP) is able to analyze, understand, and generate human speech. The goal of Natural language processing(NLP) is to make interactions between computers and humans just like the interactions between one humans to another human.And when we say interactions between humans were talking about how humans communicate with each other by using natural language. Natural language is a language that is native to people. English, Spanish, French, and portuguese are all examples of a natural language.On the other hand, computers have their artificial languages like SQL, Java, C,.C++ which were constructed to communicate instructions to machines.Because computers operate on artificial languages, they are unable to understand natural language. This is the problem that Natural language processing(NLP) solves. With Natural language processing(NLP) , a computer is able to listen to a natural language being spoken by a person, understand the meaning then respond to it by generating natural language to communicate back to the person.But there are also several complex steps involved in that process.Natural language processing(NLP) is a field of computer science that has been around for a while, but has gained much popularity in recent years as advances in technology have made it easier to develop computers with Natural language processing(NLP) abilities.Why Natural Language Processing is so important ?Natural language processing or NLP is important for different reasons to different people. For some, Natural language processing(NLP) offers the utility of automatically harvesting arbitrary bits of knowledge from vast information resources that have only recently emerged. To others, Natural language processing(NLP) is a laboratory for the investigation of the human use of language which is a primary cognitive ability and its relation to thought.So, there is a question arise, who cares? Then let's consider this response: human civilization is drowning in data. In 2008, According to the Google reports, the web had one trillion pages. Today, it estimates the web at 30 trillion pages. Merrill Lynch projects that available data will expand to 40 zettabytes by 2020. These estimates include video and image data, as well as the structured data in databases.With Natural Language Processing(NLP), it is possible to perform certain tasks like Automated Speech and Automated Text Writing in less time.Due to the presence of large data or text around, why not we use the computers untiring willingness and ability to run several algorithms to perform tasks in no time.These tasks include other Natural Language Processing(NLP) applications like Automatic Summarization and Machine TranslationNLP is one of the most important and emerging technology nowadays. Natural Language Processing(NLP) drives many forms of AI you're used to seeing. The reason to focus on this technology instead of something like AI for math-based analysis, is the increasingly large application for Natural Language Processing(NLP) If we think about it this way. Every day, humans say millions of words that other humans interpret to do countless things. At its core, it's simple communication, but we all know words run quite deeper than that. And the context is we derive from everything someone says. Whether they imply something with their body language or in how often they mention any specific word or phrase. While Natural Language Processing(NLP) doesn't focus on voice inflection, it does draw on contextual patterns.This is where it gains its value. Let's use an example to show just how powerful Natural Language Processing(NLP) is when used in a practical situation. When you're typing on mobile, you'll see word suggestions based on what you type and what you're currently typing. That's natural language processing(NLP) in action.Free-form text or should I say the Unstructured data,comprises 70%-80% of the data available on computer networks. The information content of this resource is unavailable to governments, public services, businesses, and individuals unless humans read these texts or devise some other means to derive information value from them. Natural language processing(NLP) can be applied to characterize, interpret, or understand the information content of free-form text.At present days, most natural language processing(NLP) aims to characterize text according to arbitrary notions of effective content or similarity as in sentiment analysis, text clustering, and document classification.Some natural language processing(NLP) efforts today aim to interpret free-form text to extract information with which to answer directed questions or populate databases as in information extraction, question-answering, and bioinformatics. This work requires processing with a comparatively more refined sensitivity for intended meaning. It's such a little thing that most of us take for granted, and have been taking for granted for years, but that's why Natural Language Processing(NLP) becomes so important. NLP then allows for a quick compilation of the data into terms obviously related to their brand and those that they might not expect. Capitalizing on the uncommon terms could give the company the ability to advertise in new ways.As NLP develops we can expect to see even better human to AI interaction. Devices like Google's Assistant and Amazon's Alexa, which are now making their way into our homes and even cars, are showing that AI is here to stay.The next few years should see AI technology increase even more, with the global Natural Language Processing(NLP) and AI market expected to push around $60 billion by 2025 (assumed). Needless to say, you should keep an eye on Natural Language Processing(NLP) and AI.How is Natural language processing used today?There are several different tasks that Natural language processing(NLP) can be used to accomplish, and each of those tasks can be done in many different ways. Lets look at some of the most common applications for NLP today:SPAM FILTERSOne of the biggest headaches of email is spam. Natural language processing(NLP) is used filtering the spam mails and messages to set up a first line of defense, services such as Gmail use Natural language processing(NLP) to determine which emails are good and which are spam. These spam filters scan the text in all the emails you receive, and attempt to understand the meaning of that text to determine if its spam or not using Natural language processing(NLP).ALGORITHMIC TRADINGWouldnt it be amazing if you could master the stock market without having to do a thing? Thats what algorithmic trading is for. Natural language processing(NLP) comes here to help you in this case.Using Natural language processing(NLP), this technology reads news stories concerning companies and stocks and attempts to understand the meaning of them to determine if you should buy, sell, or hold onto certain stocks.ANSWERING QUESTIONSIf youve ever typed a question in Google search, or asked Siri for directions, then youve seen this form of Natural language processing(NLP) in action. A major use of Natural language processing(NLP) is to make search engines understand the meaning of what we are asking, and then often times generating natural language in return to give us the answers were looking for.SUMMARIZING INFORMATIONTheres a lot of information on the web, and a lot of that information is in the form of long documents or articles. Natural language processing(NLP) is used to understand the meaning of this information, and then generates shorter summaries of the information so humans can understand it quicker.There are three different levels of linguistic analysis done before performing Natural language processing(NLP) -Syntax - What part of given text is grammatically true.Semantics - What is the meaning of given text?Pragmatics - What is the purpose of the text?Natural language processing(NLP) deals with different aspects of language such asPhonology - It is systematic organization of sounds in language.Morphology - It is a study of words formation and their relationship with each other. Here are the approaches of Natural language processing(NLP) to understand the semantic analysisDistributional - It employs large-scale statistical tactics of Machine Learning and Deep Learning.Frame-Based - The sentences which are syntactically different but semantically same are represented inside data structure (frame) for the stereotyped situation.Theoretical - This approach is based on the idea that sentences refer to the real word (the sky is blue) and parts of the sentence can be combined to represent whole meaning.Interactive Learning - It involves pragmatic approach and user is responsible for teaching the computer to learn the language step by step in an interactive learning environment. The true success of Natural language processing(NLP) lies in the fact that humans deceive into believing that they are talking to humans instead of computers.Many devices use Natural language processing(NLP) nowadaysThose are just a handful of the ways Natural language processing(NLP) is used today. But by looking at those few examples you might have spotted some patterns. Have you noticed that in all examples, Natural language processing(NLP) was used to understand natural language? And in most cases, it was also used to generate natural language. In case the text is composed of speech, speech-to-text conversion is performed.The mechanism of Natural Language Processing(NLP) involves two processes:Natural Language Understanding (NLU) and Natural Language Generation (NLG).Some real world applications of Natural Language Processing(NLP)Learning has helped computers parse the ambiguity of human language.Apache OpenNLP, Natural Language Toolkit(NLTK), Stanford NLP are various open source Natural language processing(NLP) libraries used in real world application below.Here are multiple ways Natural Language Processing(NLP) is used today:The most basic and well known application of Natural language processing(NLP) is Microsoft Word spell checking.Text analysis, also known as sentiment analytics is a key use of Natural language processing(NLP).Email filters are another important application of Natural language processing(NLP). By analyzing the emails that flow through the servers, email providers can calculate the likelihood that an email is spam based its content by using Bayesian or Naive bayes spam filtering.Call centers representatives engage with customers to hear list of specific complaints and problems. Mining this data for sentiment can lead to incredibly actionable intelligence that can be applied to product placement, messaging, design, or a range of other use cases using Natural language processing(NLP).Google and Bing and other search systems use Natural language processing(NLP) to extract terms from text to populate their indexes and to parse search queries.Google Translate applies machine translation technologies in not only translating words, but in understanding the meaning of sentences to provide a true translation.Another advantage of Natural language processing(NLP).Many important decisions in financial markets use Natural language processing(NLP) by taking plain text announcements, and extracting the relevant info in a format that can be factored into algorithmic trading decisions.Since the invention of the typewriter, the keyboard has been the king of human-computer interface. But today with voice recognition via virtual assistants,like Amazons Alexa, Googles assistant, Apples Siri and Microsofts Cortana respond to vocal prompts using Natural language processing(NLP) and do everything from finding a coffee shop to getting directions to our office and also tasks like turning on the lights in home, switching the heat on etc. depending on how digitized and wired-up our life is.Question Answering - IBM Watson which use Natural language processing(NLP), is the most prominent example of question answering via information retrieval that helps guide in various areas like healthcare, weather, insurance etc.Therefore it is clear that Natural Language Processing(NLP) takes a very important role in new machine human interfaces. Its an essential tool for leading-edge analytics & is the near future. How Much Does a Natural Language Processing(NLP) Make a Year ?The salaries of Natural Language Processing engineers are also very attractive.The average annual pay for a Natural Language Processing(NLP) Across the U.S. is $123,798 a year.Data Scientist - $75K to $134KSoftware Engineer - $70K to $142KMachine Learning Engineer - $57K to $153KSenior Data Scientist - $120K to $180KSenior Software Engineer - $106K to $178KSr. Software Engineer / Developer / Programmer - $91K to $163KCareer Opportunities in Natural Language Processing and Companies using Natural Language Processing:In Natural Language Processing(NLP) there are no. of jobs worldwide and the companies which are hiring Natural Language Processing(NLP) experts some are listed belowAmazonAppleGoogleIBMMicrosoftIntelFacebookTwitterInstagramSamsungAIBrainBingYahooAnkiBanjoCloudMindsDeepmindH2OiCarbonXIris AINext ITNvidiaOpenAISalesforceSoundHoundKlevuEnglishCentralYummlyInsight EnginesMindMeldDestiMarketMuseKngine NetBaseNow again coming to this course,So this Natural Language Processing(NLP) course is ideal for beginners to experts to learn the artificial Intelligence technology or those who are new to Natural Language Processing(NLP) engineering or who want to enrich their knowledge in Natural Language Processing(NLP) much more.From this course you'll getIntroduction & Overview on Natural Language Processing(NLP)Introduction to NLTK toolkitIntroduction to Machine LearningMachine Learning for binary and multi class classificationIntroduction to Word Embedding in Natural Language Processing(NLP)Deep neural networks for word embedding Word2Vec, GloVeDocument and Sentence Embedding in Natural Language Processing(NLP)Sentiment Analysis in Natural Language Processing(NLP)Classical and Deep MLClassical and Deep MLNeural Machine Translation in Natural Language Processing(NLP)There are some free to preview of the course,so you can already put a glance over it before buying the course!So what are you waiting for? Enroll in the course and get started with Natural Language Processing(NLP)today!You will get 30-day money-back guarantee from Udemy for this Natural Language Processing course.If not satisfied simply ask for a refund within 30 days. You will get full refund. No questions whatsoever asked.Are you ready to take your Natural Language Processing skills higher and career to the next level, take this course now!You will go from zero to Natural Language Processing(NLP) hero in few hours."
Price: 199.99  |
| "Kubernetes + Docker Complete Course - 2 in 1 Hands On!" |
| "This Kubernetes Docker Complete Course will help you to understand how to run, deploy and maintain your applications on Kubernetes. If you are into DevOps, then this is a technology you need to learn. Kubernetes has gained a lot of popularity lately and it is a well-aimed skill by companies.The course will show you how to build apps in containers using docker and how to deploy it Kubernetes cluster. On the other hand,this Kubernetes Course will explain you how to set up your Kubernetes cluster on your desktop, or on the cloud using AWS. What is Kubernetes?Kubernetes is an open-source container orchestration technology system .Kubernetes is mainly used for automating deployment, scaling and management of containerized applications.Kubernetes was originally designed by Google and then open sourced.And from then to now Kubernetes is maintained by the Cloud Native Computing Foundation. Kubernetes aims to provide a ""platform for automating deployment, scaling, and operations of application containers across clusters of hosts It works with a range of container tools, including Docker.Kubernetes is a portable as well as extensible platform for managing containerized workloads and services, that facilitates both declarative configuration and automation. Kubernetes has a large, rapidly growing ecosystem. There are widely availablity in Kubernetes services, support, and tools.Google open-sourced the Kubernetes project in 2014. Kubernetes builds upon a decade and a half of experience that Google has with running production workloads at scale, combined with best-of-breed ideas and practices from the community.Even though Kubernetes provides a lot of functionality, there are always new scenarios that would benefit from new features. Application-specific workflows can be streamlined to accelerate developer velocity. Ad hoc orchestration that is acceptable initially often requires robust automation at scale. This is why Kubernetes was also designed to serve as a platform for building an ecosystem of components and tools to make it easier to deploy, scale, and manage applications.Labels in Kubernetes empower users to organize their resources however they please. Annotations enable users to decorate resources with custom information to facilitate their workflows and provide an easy way for management tools to checkpoint state.The Kubernetes control plane is mainly built upon the same APIs that are available to developers and users. Users can write their own controllers, such as schedulers, with their own APIs that can be targeted by a general-purpose command-line tool.This design has enabled a number of other systems to build the Kubernetes.On the other hand Kubernetes is not a traditional or all-inclusive Platform as a Service( PaaS) system. Since Kubernetes operates at the container level rather than at the hardware level, it provides some generally applicable features common to PaaS offerings, such as deployment, scaling, load balancing, logging, and monitoring. However, Kubernetes is not monolithic, and these default solutions are optional and pluggable. Kubernetes provides the building blocks for building developer platforms but preserves user choice and flexibility where it is important.Here are some advantages of Kubernetes Firstly Kubernetes does not limit the types of applications supported. Moreover, Kubernetes aims to support an extremely diverse variety of workloads, including stateless and stateful even data-processing workloads. Thatswhy If an application can run in a container, it should run great on Kubernetes.Kubernetes never deploy source code and does not build your application. Continuous Integration, Delivery, and Deployment (CI/CD) workflows are determined by organization cultures and preferences as well as technical requirements.Kubernetes does not provide application-level services, such as middleware (e.g., message buses), data-processing frameworks (for example, Spark), databases like MySQL, caches as built-in services. Such components can run on Kubernetes, and/or can be accessed by applications running on Kubernetes through portable mechanisms, such as the Open Service Broker.Kubernetes never dictate logging, monitoring, or alerting solutions. It provides some integrations as proof of concept, and mechanisms to collect and export metrics.Kubernetes does not also provide nor mandate a configuration language/system (e.g., jsonnet). It provides a declarative API that may be targeted by arbitrary forms of declarative specifications.Kubernetes never provide nor adopt any comprehensive machine configuration, maintenance, management, or self-healing systems.Though Kubernetes is not a mere orchestration system. In fact,kubernetes eliminates the need for orchestration. In contrast, Kubernetes is comprised of a set of independent, composable control processes.Kubernetes also drive the current state continuously towards the provided desired state. What is Kubernetes for ?Kubernetes is an open source system for managing containerized applications across multiple hosts, providing basic mechanisms for deployment, maintenance, and scaling of applications.In short, Kubernetes is a container orchestration tool from Google.How Does Kubernetes work?Kubernetes can mainly defines as a set of building blocks.Kubernetes collectively provides mechanisms that deploy, maintain and scale applications. Kubernetes is loosely coupled and extensible to meet different workloads. This extensibility is provided in large part by the Kubernetes API, which is used by internal components as well as extensions and containers that run on KubernetesThere are some key components which are widely used is Kuberntes arePodsLabels and selectorsControllersServicesWhat is the pod in KubernetesA Kubernetes pod is a group of containers. Pods can be deployed together on the same host. If you frequently deploy single containers, you can generally replace the word ""pod"" with ""container"" and accurately understand the concept.Pods operate at one level higher than individual containers because it's very common to have a group of containers work together to produce an artifact or process a set of work.For example, consider this pair of containers: a caching server and a cache ""warmer"". You could build these two functions into a single container, but now they can each be tailored to the specific task and shared between different projects.What is labels and selectors in Kubernetes?Labels and selectors are the primary grouping mechanism in Kubernetes and determine the components an operation applies to.Labels are key-value pairs that are attached to Kubernetes objects, such as Pods. They are intended to be used to specify object attributes which are meaningful and relevant to users, while not directly impacting implying semantics of the core system.Unlike names and UIDs, labels in Kubernetes do not provide uniqueness. In general, we expect many objects to carry the same label(s).Via a label selector, the client/user can identify a set of objects. The label selector is the core grouping primitive in Kubernetes.The API currently supports two types of selectors: equality-based and set-based. A label selector can be made of multiple requirements which are comma-separated. In the case of multiple requirements, all must be satisfied so the comma separator acts as a logical AND (&&) operator. What is Controllers in Kubernetes?A controller is a reconciliation loop that drives actual cluster state toward the desired cluster state. It does this by managing a set of pods. One kind of controller is a replication controller, which handles replication and scaling by running a specified number of copies of a pod across the cluster. It also handles creating replacement pods if the underlying node fails. Other controllers that are part of the core Kubernetes system include a ""DaemonSet Controller"" for running exactly one pod on every machine or some subset of machines and a ""Job Controller"" for running pods that run to completion, as part of a batch job. The set of pods that a controller manages is determined by Kubernetes label selectors that are part of the controllers definition.What is Services in Kubernetes?A Kubernetes service is a set of pods which can work together, such as one tier of a multi-tier application. The set of pods that constitute a service are defined by a label selector.Kubernetes provides service discovery and request routing by assigning a stable IP address and DNS name to the service, and load balances traffic in a round-robin manner to network connections of that IP address among the pods matching the selector even as failures cause the pods to move from machine to machine.By default, a service is exposed inside a cluster but a service can also be exposed outside a kubernetes cluster.Why you should start learning Kubernetes?When our clients ask us to create a highly available distributed system, we usually recommend Kubernetes, because Kubernetes is really easy to use and even though it has a steep initial learning curve and kubernetes still a lot more simple than other competing orchestration engines.Kubernetes also works perfectly with Node apps because it's based on Docker.Thatswhy you can run any kind of application using Kubernetes. As we all know kubernetes is a open source project spun out of Google which automates the process of deploying and managing multi-container applications at scale. While Kubernetes works mainly with Docker, it can also work with any container system that conforms to the Open Container Initiative (OCI) standards for container image formats and runtimes. And because Kubernetes is open source, with relatively few restrictions on how it can be used, it can be used freely by anyone who wants to run containers, most anywhere they want to run them.Kubernetes introduces new abstractions and concepts, and the learning curve for Kubernetes is high so it is only normal to ask what the long-term payoffs are for using Kubernetes. Heres a rundown of some of the specific ways running apps inside Kubernetes becomes easier.Kubernetes manages app health, replication, load balancing, and hardware resource allocation for you. One of the most basic duties Kubernetes takes off your hands is the busywork of keeping an application up, running, and responsive to user demands. Apps that become unhealthy, or dont conform to the definition of health you describe for them, can be automatically healed using kubernetes.Another benefit of Kubernetes is that it maximizes the use of hardware resources including memory, storage I/O, and network bandwidth. Applications can have soft and hard limits set on their resource usage. Many apps that use minimal resources can be packed together on the same hardware; apps that need to stretch out can be placed on systems. And again, rolling out updates across a cluster, or rolling back if updates break, can be automated.Kubernetes Helm charts ease the deployment of preconfigured applications. Package managers such as Debian Linuxs APT and Pythons Pip save users the trouble of manually installing and configuring an application. This is especially handy when an application has multiple external dependencies.Helm is something like a package manager for Kubernetes. Many popular software applications must run as multiple, ganged-together containers in Kubernetes. Helm provides a definition mechanism, a chart, that describes how a given piece of software can be run as a group of containers inside Kubernetes.Kubernetes simplifies management of storage, secrets, and other application-related resources. Containers are meant to be immutable; whatever you put into them isnt supposed to change. But applications need state so it means they need a reliable way to deal with external storage volumes. Thats made all the more complicated by the way containers live, die, and are reborn across the lifetime of an app.Kubernetes always allow containers and apps to deal with storage in the same decoupled way as other resources. Many common kinds of storage, from Amazon EBS volumes to plain old NFS shares, can be accessed via Kubernetes storage drivers, called volumes. Normally, volumes are bound to a specific pod, but a volume subtype called a Persistent Volume can be used for data which needs to live on independently of any pod in Kubernetes.Sometimes these containers need to work with secrets which is nothing but credentials like API keys or service passwords that you dont want hardwired in a container or stashed openly on a disk volume. While third-party solutions are available for this, like Docker secrets and HashiCorp Vault, In that case, Kubernetes uses its own mechanism of handling secrets. For instance, Etcd must be configured to use SSL/TLS when sending information including secrets between nodes, rather than in plaintext. Kubernetes apps can run in hybrid and multi-cloud environments. One of the long-standing dreams of cloud computing is to be able to run any app in any cloud or any mix of clouds public or private. Kubernetess architecture makes use of various concepts and abstractions. Some of these are variations on existing, familiar notions, but others are specific to Kubernetes.The highest-level Kubernetes abstraction, the cluster, refers to the group of machines running Kubernetes (itself a clustered application) and the containers managed by it. A Kubernetes cluster must have a master, the system that commands and controls all the other Kubernetes machines in the cluster. A highly available Kubernetes cluster replicates the masters facilities across multiple machines. But only one master at a time runs the job scheduler and controller-manager.Each cluster contains Kubernetes nodes. This Kubernetes nodes might be physical machines or VMs. Again, the idea is abstraction: whatever the app is running on, Kubernetes handles deployment on that substrate. It is also possible to ensure that certain containers run only on VMs or only on bare metal.Nodes run pods, the most basic Kubernetes objects that can be created or managed. Each pod represents a single instance of an application or running process in Kubernetes and consists of one or more containers. On the other hand Kubernetes starts, stops, and replicates all containers in a pod as a group. Pods keep the users attention on the application, rather than on the containers themselves. Pods are created and destroyed on nodes as needed to conform to the desired state specified by the user in the pod definition. Kubernetes provides an abstraction called a controller for dealing with the logistics of how pods are spun up, rolled out, and spun down. Controllers come in a few different flavors depending on the kind of application being managed. For instance, the recently introduced StatefulSet controller is used to deal with applications that need persistent state. Another kind of controller, the deployment, is used to scale an app up or down, update an app to a new version, or roll back an app to a known-good version if theres a problem.Because pods in Kubernetes live and die as needed, we need a different abstraction for dealing with the application lifecycle. An application is supposed to be a persistent entity, even when the pods running the containers that comprise the application arent themselves persistent. To that end, Kubernetes provides an abstraction called a service.A service describes how a given group of pods or other Kubernetes objects can be accessed via the network. As the Kubernetes documentation puts it, the pods that constitute the back end of an application might change, but the front end shouldnt have to know about that or track it. Services make this possible.A few more pieces internal to Kubernetes round out the picture. The scheduler parcels out workloads to nodes so that theyre balanced across resources and so that deployments meet the requirements of the application definitions. The controller manager ensures the state of the systemapplications, workloads, etc.matches the desired state defined in Etcds configuration settings.How much does a Kubernetes Engineer can make per annum?The salaries of kubernetes engineers are also very attractive.Software Engineer- $76K to $152KSenior Software Engineer - $103K to $166KDevelopment Operations (DevOps) Engineer - $84K to $154KSite Reliability Engineer (SRE) - $69K to $164KSr. Software Engineer / Developer / Programmer - $92K to $157KSoftware Development Engineer - $104K to $118KSoftware Architect - $95K to $154KCareer Opportunities in Kubernetes and Companies using Kubernetes :In Kubernetes there are no. of jobs worldwide and the companies which are hiring Kubernetes experts some are listed below Red HatOracle GoogleMicrosoftSamsung SDSIBMINGHuaweiNaicMonjoPhilipsPinterestSAPSoundcloudYahooWinkSlingOpenAIThe New York TimeMirantisCenturylinkApprendaGitHubWeaveworksAsanaBufferCircleCiEvernoteHarvestIntelInVisionAppShopifyStarbucksDigital OceanCapscaleAdformAmadeusAncestryBoxBlackRockComcasteBay and many more30-day money-back guarantee!Now again coming to this course,So this Kubernetes course is ideal for beginners to experts to container technology or those who are new to Kubernetes engineering or who want to enrich their knowledge in Kubernetes much more.This course includes the following chapters:Course Introduction and OverviewWhat is Kubernetes?Why Kubernetes?Up and Running: BasicsCluster ArchitectureCore Objects and Primitives The introduction lectures that show you the Kubernetes desktop installation are free to preview, so you can already put a glance over it before buying the course!So what are you waiting for? Enroll in the course and get started with Kubernetes today!You will get 30-day money-back guarantee from Udemy for this course. If not satisfied simply ask for a refund within 30 days. You will get full refund. No questions whatsoever asked.Are you ready to take your DevOps skills and career to the next level, take this course now!You will go from zero to Kubernetes hero in few hours."
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