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Can Devops and Scaled Agile Models Coexist?

DevOPs, is a perfect blend of Software DEVelopment and Information Technology OPerationS. This term is used to refer to a set of practices that highlights the collaboration and conveyance of both software developers and Information Technology people, while automating the software delivery process and performing changes in infrastructure. The aim behind DevOPs is to provide the environment which can help in coding, testing and deploying the software, rapidly and more reliably. Agile and DevOPs are similar concepts. Agile represents some changes in imagining and practicing what is best for organizational change, whereas DevOps places more importance on implementing the organizational changes to perceive its goals. Due to the increasing popularity of the Agile Software Development, the need to introduce DevOPs has escalated. This has led to a cooperation in software delivery, as there are increased number of releases. If DevOps practices are adapting the Agile methodology, it will contribute to an increased organizational profit. Ultimately, it will be beneficial if Agile and DevOps go hand in hand, to maximize the outcome for the organization. However, everyone should be aware of the fact that the software is being created first and ranked by the developers. The success of the implementation of this software  depends entirely on the use of the software. Let’s have a look on some well-known models: SAFe® (Scaled Agile Framework) Scaled Agile Framework is the Agile Software Framework, designed by Scaled Agile, Inc. It consists of a knowledge base of combined patterns, which forms the Enterprise-Scale and Lean-Agile development. SAFe® aims at the collaboration of both software and systems development and delivery, for increased number of Agile teams. SAFe® is mainly about helping the customers to solve their most challenging scaling problems. SAFe®uses 3 primary bodies to maximize the advantage. These are: Agile development, Lean product development, and systems thinking. You can say that there are two aspects of SAFe® are: the DevOps team and the System team. The System team is more centered around the development side activities like Continuous Integration and test automation, while  the DevOps team focuses on the features which will be useful for deployment and the automation of the process. DAD (Disciplined Agile Delivery): The focus of DAD is more on the processes. DAD is the decision framework process that enables decisions on incremental and iterative solution delivery. DAD has been known as the “movement beyond the scrum”,which is described in the book written by Scott Ambler and Mark Lines. The DAD framework provides a mechanism to construct smoothly working of IT processes and helps in Scaling. LESS (Large Scale Scrum): In LESS, DevOps is not called in the detailed manner, but it is covered by Technical Excellence. Technical Excellence is the way of  making changes to the product in a simple, rapid and flexible way,also called Technical Agility. LESS has a ‘less’ focus on explicitly describing how to use the process and at what time.  So, it is upto you to assign the work at the right time to the right person. It is therefore highly recommendable that the organizations use the combination  of ‘Explicit Structure of SAFe® principles’ and the ‘ideas of LESS’ to create a framework. This will definitely create more profit in your Organizations.
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Can Devops and Scaled Agile Models Coexist?

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Can Devops and Scaled Agile Models Coexist?

DevOPs, is a perfect blend of Software DEVelopment and Information Technology OPerationS. This term is used to refer to a set of practices that highlights the collaboration and conveyance of both software developers and Information Technology people, while automating the software delivery process and performing changes in infrastructure. The aim behind DevOPs is to provide the environment which can help in coding, testing and deploying the software, rapidly and more reliably.

Agile and DevOPs are similar concepts. Agile represents some changes in imagining and practicing what is best for organizational change, whereas DevOps places more importance on implementing the organizational changes to perceive its goals. Due to the increasing popularity of the Agile Software Development, the need to introduce DevOPs has escalated. This has led to a cooperation in software delivery, as there are increased number of releases.

If DevOps practices are adapting the Agile methodology, it will contribute to an increased organizational profit. Ultimately, it will be beneficial if Agile and DevOps go hand in hand, to maximize the outcome for the organization. However, everyone should be aware of the fact that the software is being created first and ranked by the developers. The success of the implementation of this software  depends entirely on the use of the software.

Let’s have a look on some well-known models:

SAFe® (Scaled Agile Framework)

Scaled Agile Framework

Scaled Agile Framework is the Agile Software Framework, designed by Scaled Agile, Inc. It consists of a knowledge base of combined patterns, which forms the Enterprise-Scale and Lean-Agile development. SAFe® aims at the collaboration of both software and systems development and delivery, for increased number of Agile teams. SAFe® is mainly about helping the customers to solve their most challenging scaling problems. SAFe®uses 3 primary bodies to maximize the advantage. These are: Agile development, Lean product development, and systems thinking. You can say that there are two aspects of SAFe® are: the DevOps team and the System team. The System team is more centered around the development side activities like Continuous Integration and test automation, while  the DevOps team focuses on the features which will be useful for deployment and the automation of the process.

DAD (Disciplined Agile Delivery):

The focus of DAD is more on the processes. DAD is the decision framework process that enables decisions on incremental and iterative solution delivery. DAD has been known as the movement beyond the scrum,which is described in the book written by Scott Ambler and Mark Lines. The DAD framework provides a mechanism to construct smoothly working of IT processes and helps in Scaling.

LESS (Large Scale Scrum):

In LESS, DevOps is not called in the detailed manner, but it is covered by Technical Excellence. Technical Excellence is the way of  making changes to the product in a simple, rapid and flexible way,also called Technical Agility. LESS has a ‘less’ focus on explicitly describing how to use the process and at what time.  So, it is upto you to assign the work at the right time to the right person.

It is therefore highly recommendable that the organizations use the combination  of ‘Explicit Structure of SAFe® principles’ and the ‘ideas of LESS’ to create a framework. This will definitely create more profit in your Organizations.

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Kajal Mehra 10 Jul 2018

Very interesting blog post.Quite informative and very helpful

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DevOps Roadmap to Become a Successful DevOps Engineer

“DevOps is a combination of best practices, culture, mindset, and software tools to deliver a high quality and reliable product faster”Benefits of DevOps (Dev+Ops(SysAdmins plus Database Admins)DevOps agile thinking drives towards an iterated continuous development model with higher velocity, reduced variations and better global visualization of the product flow. These three “V”s are achieved with synchronizing the teams and implementing CI/CD pipelines that automate the SDLC repetitive and complex processes in terms of continuous integration of code, continuous testing, and continuous delivery of features to the production-like environment for a high-quality product with shorter release cycles and reduced cost.This ensures customer satisfaction and credibility.A streamlined process in place with the help of best practices and DevOps tools reduce the overhead, and downtime thus giving more opportunity for innovation. As a matter of fact, DevOps way of defining every phase (coding, testing, infrastructure provisioning, deployment, and monitoring) as code also makes it easier to rollback a versioned code in case of disaster recovery and make the environment easily scalable, portable and secure.“DevOps tools help you accomplish what you can already do but do not have time to do it.”1. What are the tasks of a DevOps Engineer?A Summary of day-to-day tasks carried out by a DevOps engineer -Design, build, test and deploy scalable, distributed systems from development through productionManage the code repository(such as Git, SVN, BitBucket, etc.) including code merging and integrating, branching and maintenance and remote repository managementManage, configure and maintain infrastructure systemDesign the database architecture and database objects and synchronize the various environmentsDesign implement and support DevOps Continuous Integration and Continuous Delivery pipelinesResearch and implement new technologies and practicesDocument processes, systems, and workflowsCreation and enhancement of dynamic monitoring and alerting solutions using industry-leading servicesContinuously analyse tasks that are performed manually and can be replaced by codeCreation and enhancement of Continuous Deployment automation built on Docker and Kubernetes.2. Who can become a DevOps Engineer?DevOps is a vast environment that fits almost all technologies and processes into it. For instance, you could come from a coding or testing background or could be a system administrator, a database administrator, or Operations team there is a role for everyone to play in a DevOps approach.You are ready to become a DevOps Engineer if you have the below knowledge and/expertise-You have a Bachelor’s or Master’s or BSC degree (preferably in Computer Science, IT, Engineering, Mathematics, or similar)Minimum 2 years of IT experience as a Software Developer with a good understanding of SDLC lifecycle with lean agile methodology (SCRUM)Strong background in Linux/Unix & Windows AdministrationSystem development in an Object-oriented or functional programming language such as Python / Ruby / Java / Perl / Shell scripting / Groovy or GoSystem-level understanding of Linux (RedHat, CentOS, Ubuntu, SUSE Linux), Unix (Solaris, Mac OS) and Windows ServersShell scripting and automation of routines, remote execution of scriptsDatabase management experience in Mongo/Oracle or MySQL databaseStrong SQL and PL/SQL scriptingExperience working with source code version control management like Git, GitLab, GitHub or SubversionExperience with cloud architectures, particularly Amazon Web Services(AWS) or Google cloud platform or Microsoft AzureGood understanding of containerization using Dockers and/or KubernetesExperience with CI/CD pipelines using Jenkins and GitLabKnowledge of data-centre management, systems management, and monitoring, networking & securityExperience in Automation/configuration management using Ansible, and/or Puppet and/or ChefKnow how to monitor your code using Configuration Monitoring tools such as Nagios or PrometheusBackground in Infrastructure and NetworkingExtensive knowledge about RESTful APIsA solid understanding of networking and core Internet protocols (e.g. TCP/IP, DNS, SMTP, HTTP, and distributed networks)Excellent written and verbal English communication skillsSelf-learner, team layer, willingness to learn new technologies and ability to resolve issues independently and deliver results.3. Roadmap to becoming a DevOps Engineer3.1 Learn a programming languageA programming language enables a user to interact and manage the system resources such as the kernel, device drivers, memory devices, I/O devices; also to write software.A well-written piece of code will be more versatile, portable, error-proof, scalable and optimized that will enhance your DevOps cycle letting you be more productive with a high-quality product. As a DevOps Engineer, you will have to use many software and plugins for a CI/CD pipeline, and you will be at your best if you have a good grip on some of the popular programming languages:1. Java : An object-oriented, general-purpose programming language. Goal – “Write once, run anywhere”, which is synonymous with the Dockers(or containerization) philosophy2. C: Is a general-purpose procedural programming language, it supports structured programming3. C#: A general-purpose, multi-paradigm object-oriented programming (OOP) language4. Python: Python is an easy to learn, interpreted, high-level and powerful programming language with an object-oriented approach. Ideal for infrastructure programming and web development. It has a very clear syntax5. Ruby: Is an open-source dynamic OOP programming language with an elegant and easy syntax. This implements multiple multi-paradigm approaches.As you know, DevOps majorly emphasizes on automating the repetitive and error-prone tasks. You ought to know any of the popular scripting languages:6. Perl: Perl is a highly capable scripting programming language, with its syntax very similar to C7. Bash shell script: Powerful set of instructions in a single shell script file to automate repetitive and complex commands8. JavaScript: An interpreted scripting language to build websites9. PowerShell for windows: A cross-platform automation and configuration framework or tool, that deals with structured data, REST APIs and object models. It has a command-line tool.Good-to-know language:10. Go: Go is an open-source programming language developed by Google. It is used to build simple, reliable and efficient software3.2 Understand different OS conceptsAs a Software developer, you must be able to write code that can interact with the machine resources and have a sound understanding of the underlying OS you are dealing with.Knowing the OS concepts will help you be more productive in your programming.This gives you the ability to make your code faster, manage processes, interact with the input-output devices, communicate with the other OS, optimize the processing usage, memory usage and disk usage of your program.As a DevOps engineer with infrastructure role, setting up and managing servers, controllers and switches becomes easier if you understand the resources, processes, and virtualization concepts very well.To be able to administer the users and groups, file permissions and security you must know the filesystem architecture.Essential OS concepts a DevOps engineer must know include:I. Kernel managementKernel is the core element of any OS. It connects the system hardware with the software. It is responsible for memory, storage, and process managementII. Memory ManagementMemory management is the allocation/deallocation of system memory(RAM, cache, page) to various system resources and to optimize the performance of the systemIII. Device drivers managementA device driver is a software program that controls the hardware device of the machineIV. Resource managementThe dynamic allocation/deallocation of system resources such as kernel, CPU, memory, disk and so onV. I/O managementCommunication between various input/output devices connected to the machine such as- keyboard, mouse, disk, USB, monitor, printers, etc VI. Processes and process managementEvery program that executes a certain task is called a process, each process utilizes a certain amount of computational resources. The technique of managing various processes to share the load of memory, disk and CPU(processing) usage also the inter-process communication is termed as process managementVII. Threads and concurrencyMany programming languages support multi-threading and concurrency, i.e, the ability to run multiple tasks simultaneously  VIII. Virtualization and containerizationConcept of simulating a single physical machine to multiple virtual machines/environments to optimize the use of resources and to reduce the time is taken and cost. Understand this well as you will often need to replicate the real-time environment.Linux  containers are a great concept to isolate and package an application along with its run-time environment as a single entity.Run-time environment includes all its dependencies, binaries, configuration files and libraries. Dockers is a containerized command-line tool that makes it easier to create, run and deploy applications with containers.Using both Virtual machines and dockers together can yield better results in virtualizationIX. Distributed file systemsA client machine can access data located on a Server machine. This is true in the case of a client/server-based application model.X. Filesystem architectureThe architectural layout of how and in what hierarchy the data is organized on a disk, will make your task of managing data easier.3.3 Learn about managing serversAs cloud deployments become more useful with DevOps approach, there is a need to manage a group of Servers (Application, Database, Web Server, Storage, Infrastructure, Networking Server and so on) rather than individual servers.You should be dynamically scaled up/down the servers, without rewriting the configuration files.Nginx: This is a web server that can also be used as a reverse proxy, load balancer, mail proxy, and HTTP cache.This provides robust and customizable monitoring of your cloud instances and their status. Nginx offers more flexibility and configurability for better configuration and automation using DevOps tools like Puppet and Chef.3.4 Networking and SecurityIn a highly connected network of computers, it becomes essential to understand the basic concepts of networking, how to enforce security and diagnose problems.As a DevOps engineer, you would also be required to set up an environment to test networking functions. In addition, set up continuous integration, delivery and deployment pipelines for network functions.Learn the basic networking concepts like Ip addresses, DNS, routing, firewalls and ports, basic utilities like ping, ssh, netstat, ncr and ip, load balancing and TLS encryption.Understand the basic protocols(standard rules for networking) such as-TCP/IP (Transfer Control Protocol/Internet Protocol), HTTP (Hypertext Transfer Protocol), SSL, SSH (Secure Shell), FTP (File Transfer Protocol), DNS (Domain Name Server).Configuration management tools like Ansible and Jenkins can be used to configure and orchestrate network devices.3.5 What is and how to set-upAs a DevOps methodology we often describe CI/CD pipeline, let us understand what is it?Continuous Integration(CI) is a development practice wherein ­­developers regularly merge or integrate their code changes into a commonly shared repos­itory very frequently.If I speak from a VCS (preferably Git’s) point of view -Every minor code change done on various branches (from different contributors) is pushed and integrated with the main release branch several times a day, rather than waiting for the complete feature to be developed.Every code check-in is then verified by an automated build and automated test cases. This approach helps to detect and fix the bugs early, resolve the conflicts that may arise, improve software quality, reduce the validation and feedback loop time; hence increasing the overall product quality and speedy product releases.Continuous Delivery(CD) is a software practice where every code check-in is automatically built, tested and ready for a release(delivery) to production. Every code check-in should be release/deployment ready.CD phase delivers the code to a production-like-environment such as dev, uat, preprod, etc and runs automated tests.On successful implementation of continuous delivery in the prod-like environment, the code is ready to be deployed to the main production server.It is best to learn the DevOps lifecycle of continuous development, continuous build, continuous testing, continuous integration, continuous deployment and continuous monitoring throughout the complete product lifecycle.Based on the DevOps process setup use the right tools to facilitate the CI/CD pipeline.3.6 Learn Infrastructure as codeInfrastructure as code (IaC) is to define(or declare) and manage the infrastructure resources programmatically by writing code as configuration files instead of managing each resource individually.These infrastructure resources(hardware and software) may be set up on a physical server, a Virtual machine or cloud.An IaC defines the desired state of the machine and generates the same environment every time it is compiled.What does IaC do?Automation: Spinning up or scaling down many resources becomes easier, as just a configuration file needs to be compiled and run. This reduces the overhead and the time spent.Versioning:  IaC is a text file which can be versioned controlled which means 3 things:Infrastructure changes such as scaling up/down the resources and or changing/updating the resources (filesystem or user management) can be tracked through the versioned historyConfiguration files are easily shareable and portable and are checked-in as source codeAn IaC text file can easily be scheduled to be run in a CI/CD pipeline for Server management and orchestration.Manual errors eliminated: productivity increasedEach environment is an exact replica of production.How to do it?Use tools like  Puppet,  Ansible,  Chef,  TerraformThese tools aim at providing a stable environment for both development and operations tasks that results in smooth orchestration.A. Puppet: Puppet is a Configuration Management Tool (CMT) to build, configure and manage infrastructure on physical or virtual machinesB. Ansible: is a Configuration management, Deployment and Orchestration toolC. Chef: is a configuration management tool written in Ruby and Erlang to deploy, manage, update and repair server and application to any environmentD. Terraform: This automation tool builds, change, version and improve infrastructure and servers safely and efficiently.How will IaC be applied in DevOps?IaC configuration files are used to build CI/CD pipelines.IaC definitions enable DevOps teams to test applications/software in production-like stable environments quickly and effortlessly.These environments with IaC are repeatable and prevent runtime issues caused due to misconfiguration or missing dependencies.---3.7 Learn some Continuous Integration and Delivery (CI/CD) toolsIn order to continuously develop, integrate, build, test, apply feedback, deliver our product features to the production environment or deploy to the customer site, we have to build an automated sequence of jobs(processes) to be executed using the appropriate tools.CI/CD pipeline requires custom code and working with multiple software packages simultaneously. As a DevOps Engineer, here are some widely used tools you must know-a.  Jenkins is an open-source automation server. Using Jenkins plugins CI/CD pipelines are built to automatically build, test and deploy the source codeJenkins is a self-contained Java-based program and easy to configure, extensible and distributedb.  GitLab CI is a single tool for the complete DevOps cycle. Every code check-ins trigger builds, run tests, and deploy code in a virtual machine or docker container or any other server. Its has an excellent GUI interface. GitLab CI also has features for monitoring and securityc.  CircleCI software is used to build, test, deploy and automate the development cycle. This is a secure and scalable tool with huge multi-platform support for IOS and MAC OS using MAC virtual machines along with Android and Linux environmentsd.  Microsoft VSTS(Visual Studio Team Services) is not only a CI/CD service but also provide unlimited cloud-hosted private code repositoriese.  CodeShip tool empowers your DevOps CI/CD pipelines with easy, secure, fast and reliable builds with native docker support. It provides a GUI to easily configure the buildsf.  Bamboo by Atlassian is a Continuous integration, deployment and delivery Server. Bamboo has built-in  Jira Software and  BitBucket Software Integration, also built-in git branching and workflows.Jenkins is the most popular and widely used tool with numerous flexible plugins that integrate with almost any CI/CD toolchain. Also the ability of Jenkins to automate any project really distinguish this tool from others, thus it is highly recommended to get a good grip of this tool as a DevOps practitioner.Note: Since this is also a key for enthusiasts to choose the right tool but should be short definitions3.8 Know the tools to monitor software and infrastructureIt is crucial to continuously monitor the software and infrastructure upon setting up the continuous integration and continuous delivery pipeline (CI/CD) to understand how well your DevOps setup is performing. Also, it is vital to monitor system events and get alerts in real-time. A hiccup in the pipeline such as an application dependency failure or a linking error, or say the database has a downtime must be immediately notable and taken care of.This is where a DevOps Engineer must be familiar with monitoring tools such as -1.  Nagios: is an open-source software application that monitors systems, networks, and infrastructure(Servers) and generates logs and alerts2.  Prometheus: is an open-source real-time metrics-based event monitoring and alerting system.3.9 Learn about Cloud ProvidersAs the computational need increases so do the demand of the infrastructure resources.Cloud computing is a higher level of virtualization, wherein the computing resources are outsourced on a “cloud” and available for use on a pay-as-you-go basis over the internet.Some of the leading cloud providers such as AWS, Google Cloud, Microsoft Azure to name a few provide varied cloud services like IaaS, PaaS, and SaaS.Begin part of a DevOps practice, you will often find the need to access various cloud services say for infrastructure resources, production-like environment on the go for testing your product without having to provision it, get multiple replicas of the production environment, create a failover cluster, backup and recover your database over the cloud and various other tasks.Some of the cloud providers and what they offer are listed below-A.  AWS (Amazon Web Services): provide tooling and infrastructure resources readily available for DevOps programs customized as per your requirement. You can easily build and deliver products, automate CI/CD process without having to worry about provisioning and configuring the environmentB.  Microsoft Azure: Create a reliable CI/CD pipeline, practice Infrastructure as Code and continuous monitoring through Microsoft-managed data centresC.  Google Cloud Platform: Uses google-managed data centres to provide DevOps features like end-to-end CI/CD automation, Infrastructure as Code, configuration management, security management, and serverless computing.AWS is the most versatile and recommended provider that you may wish to start learning.Intent: Explain step by step process clearly in order to become a DevOps Engineer.4. What next after becoming a DevOps expert?“Sky is the only limit for a DevOps person !!!”Mastering the DevOps tools and practices opens up the door to new roles and challenges for you to learn and grow.4.1 DevOps EvangelistA technical Evangelist is a strong powerful and influential role that exhibits a strong thought process.A DevOps evangelist is a DevOps leader who identifies and implements the DevOps features to solve a business problem or a process, and then shares and promotes the benefits that come from DevOps practice.Also identifies the key roles and train the team in the same and is responsible for the success of entire DevOps processes and people.4.2 Code Release ManagerA Code Release Manager measures the overall progress of the project in terms of metrics, he/she is aware of the entire Agile methodology. A Release Manager is more involved in the coordination among all the phases of DevOps flow to support continuous delivery.4.3 Automation ArchitectThe key responsibility is to plan, analyze, and design a strategy to automate all manual tasks with the right tools and implement the processes for continuous deployment.4.4 Experience AssuranceAn experience Assurance person is responsible for the user experience and makes sure that the product being delivered meet the original business specifications.This role is also termed as Quality Assurance but with extended responsibilities of user experience testing. This role plays a critical role in the DevOps cycle.4.5 Software Developer/TesterUnder DevOps, the role and responsibilities of a Software Developer literally expand l, that the developers are no longer responsible for writing code, but also take ownership of unit testing, deployment and monitoring as well.A Developer/Tester has to make sure that the code meets the original business requirement.Henceforth; the role Developer/Tester or if the innovation extends further a Developer may also be referred to as DevTestOps.4.6 Security EngineerSecurity Engineer focuses on the Integrity of data by incorporating security into the product, and not at the end.He/she supports project teams in using security tools in the CI/CD pipeline, as well as provide resolution of identified security flaws. Intent: List the roles that an individual can play after becoming the DevOps Engineer and give a short explanation for each role.Conclusion“If you define the problem correctly, you almost have the solution.”  - Steve JobsIn a nutshell, if you aspire to  become a DevOps professional you ought to know -Programming language (C, Java, Perl, Python, Ruby, Bash shell, PowerShell)Operating System concepts (resource management)Source Control (like Git, Bitbucket, Svn, VSTS, etc)Continuous Integration and Continuous Delivery (Jenkins, GitLab CI, CircleCI)Infrastructure as Code (IaC) Automation (tools like Puppet, Chef, Ansible and/or Terraform)Managing Servers (application, storage, database, infrastructure, networking, web server etc)(Application, Database, Web Server, Storage, Infrastructure, Networking Server Networking and securityContainer Concepts (Docker)Continuous monitoring (Nagios and Prometheus)Cloud (like AWS, Azure, Google Cloud).DevOps ways( The three ways of DevOps) open the door of opportunities to improve and excel in the process using the right tools and technologies.“DevOps channels the entire process right from the idea on a whiteboard until the real product in the customer’s hands through automated pipelines(CI/CD).”As a DevOps Engineer you must be a motivated team player, need to have a desire to learn and grow, optimize the process and find better solutions.Since DevOps covers a vast area under its umbrella, it is best to focus on your key skills and learn the technologies and tools as needed.Understand the problem/challenge then find a DevOps solution around the same.
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How to Install Docker on Windows, Mac, & Linux: A Step-By-Step Guide

Docker is intended to benefit developers and system managers and makes it a component of a number of toolchains for DevOps (developers + activities). This implies that designers can concentrate their attention on writing code without worrying about the scheme that it will eventually run on. It also gives them the opportunity to take advantage of one of the thousands of programs intended to operate as part of their implementation in a container at Docker. Docker offers flexibility for the operational team and decreases possibly a smaller overhead footprint and lower overhead the number of devices required.Let’s now deep dive into installation steps for docker on different platforms.Install Docker on Windows The community version of Docker for Microsoft Windows is Docker Desktop for Windows.Download from Docker Hub. System RequirementsThe software and hardware requirements need to operate Client Hyper-V on Windows 10 effectively are:Software Requirements:Windows-10 64-bit system requirements: Pro, Enterprise or EducationWindows characteristics of Hyper-V and Containers must be activatedHardware Requirements:The support for virtualization of hardware-level Client Hyper-V in BIOS settings must be allowed with the 64-bit processor with second-level address translation (SLAT). Minimum 4 GB RAMTo run Docker Desktop, Microsoft Hyper-V is needed. The Windows installer Docker Desktop allows Hyper-V and restarts your computer if needed. VirtualBox no longer operates when Hyper-V is activated. All VirtualBox VM images are however maintained.The DOCKer VMs (including the default one generated during the installation of the Toolbox) are no longer started. VirtualBox The Docker desktop can not use these VMs side-by-side. You can still handle remote VMs using the docker.What is included in Installation?The installation of Docker Desktop consists of the Docker Engine, Docker CLI, Docker Compose, Docker Machine, and Kitematic. Docker Desktop containers and images are shared among all user accounts on the machines where they are installed. All Windows accounts are building and running containers using the same VM. Nested virtualization situations, such as operating Docker Desktop with VMWare or Parallels, might operate. See Running Docker Desktop in nested situations for more data.Installation steps To run the installer, double-click Docker Desktop Installer.exe to install Docker Desktop on Windows. The installer can be accessed from Docker Hub if you have not previously downloaded (Docker Desktop Installer.exe). It typically downloads to your download directory or can be executed at the bottom of your internet browser from the latest download bar.Follow the installation wizard directions for licensing, authorizing the installer and proceeding with the installation. If advised, authorize your system password during the installation of the Docker Desktop Installer. The networking elements, connections to the applications of Docker and the management of Hyper-V VMs need to be privately accessible.Click Finish in the setup window and launch the application Docker Desktop.Start Docker DesktopAfter installation, Docker Desktop will not begin automatically. Search for Docker and select the search outcomes for Docker Desktop.If the whale icon remains stable in the status bar, Docker Desktop is up and running and can be accessed from any terminal window.You also get a pop-up message with the next steps, as well as a link to this documentation, after the Docker Desktop app is installed.When you're done initializing, click on the whale icon in the Notifications region and pick About Docker to check that your recent version is available.Install Docker on MacThe very first step is to download the Docker Toolbox for Mac. Get the downloadable link- Download from Docker HubSystem RequirementDocker Desktop for Mac starts only when all these requirements can be met:Mac hardware must be 2010 models or newer, including Extended Page Tables (EPT) and Unrestricted Mode, with Intel hardware to provide memory management unit (MMU) virtualization. This support can be checked to see if the following command is being run on your computer: sysctl kern.hv_supportmacOS Sierra 10.12 and newer versions of macOS are endorsed. The upgrade to the newest version of macOS is recommended.VirtualBox (incompatible with Docker Desktop on Mac) before version 4.3.30 must not be installed. It's alright if you have a newer VirtualBox version installed.Installation stepsDouble-click Docker.dmg and drag the whale Moby to the application folder to open the installer.In the Applications directory, double-click Docker.app to launch Docker. In the instance below, the applications folder is in the Grid view modeYou are led to allow Docker.app with your system password after starting it. Privileged access is required to install Docker app connections and networking elements.The whale in the top status bar shows that Docker runs from a terminal and is available.You will also get a success message, with the next steps and a link to this documentation, if you have just installed the app. To reject this pop-up, click on the whale in the status bar.To get Preferences and other options, click on the whale (whale menu).To check that you have the latest version, select About Docker.Notes:Getting started provides an overview of Docker Desktop for Mac, basic Docker command examples, how to get help or give feedback, and links to all topics in the Docker Desktop for Mac guide.Troubleshooting describes common problems, workarounds, how to run and submit diagnostics, and submit issues.Install Docker on LinuxLet’s use a Ubuntu example to begin installing Docker. If you don't already have it, you can use Oracle Virtual Box to install a virtual Linux example. A straightforward Ubuntu server mounted on the Oracle Virtual Box is shown in the following screenshot. There is an OS user called a demo defined with full root access to the scheme:Step 1 − We must first make sure you have the correct version of the Linux kernel running before installing Docker. Only version 3.8 or greater is intended for Docker on Linux kernel. We can do this with the instructions below.Uname: The system data for the Linux system is returned by this method. This method will return the kernel name, kernel release, kernel version information on the Linux system.uname -aa − Used for ensuring the return of the system data.Step 2 − You need to install packages from the internet onto the Linux system via the following command, the recent packages can be updated to the OS.apt-getOptionssudo− The sudo command is used to make sure the command runs with root access.update− Update option ensures that all packages on the Linux system are updated.sudo apt-get updateStep 3- The next step is to install the certificates needed to later download required Docker packages for a job with the Docker site. The following command can be used.sudo apt-get install apt-transport-https ca-certificatesStep 4− Adding fresh GPG key will be the next step. This key must guarantee that the required packages for Docker are all encrypted.This command is intended to download the key from hkp:/ha.pool.sks-keyservers.net:80 and add it to the adv keychain by means of the ID58118E89F3A912897C070ADBF76221572C52609D. Please note that to download the necessary Docker packages, this specific key is needed.Step 5 − Next, you need to add the appropriate site to docker.list of the apt package manager, depending on the version of Ubuntu which you hold, to allow it to detect and download the Docker packages from the Docker site.Precise 12.04 (LTS) ─ deb https://apt.dockerproject.org/repoubuntu-precise mainTrusty 14.04 (LTS) ─ deb https://apt.dockerproject.org/repo/ ubuntu-trusty mainWily 15.10 ─ deb https://apt.dockerproject.org/repo ubuntu-wily mainXenial 16.04 (LTS) - https://apt.dockerproject.org/repo ubuntu-xenial mainecho "deb https://apt.dockerproject.org/repo ubuntu-trusty main”     | sudo tee /etc/apt/sources.list.d/docker.listStep 6 –The next step is to update the packages on Ubuntu scheme with the apt-get update command.Step 7 ‐ if we want to make sure that the package manager points towards the correct repository then we can do this by issuing the apt-cache command.apt-cache policy docker-engineStep 8– Edit the update command apt-get to guarantee that all local system packages are up-to-date.Step 9- The Linux-image-extra-* kernel packages that allow the user to use the aufs storage driver are required for Ubuntu Trusty, Wily and Xenial. The newer variants of Docker use this engine.The following command can be used:sudo apt-get install linux-image-extra-$(uname -r)  linux-image-extra-virtualStep 10− Installing Docker is the final step and this can be done with the following command:sudo apt-get install –y docker-engineHere, apt-get utilizes the installation feature to download and install Docker from the Docker page. The Docker engine is the official package for Ubuntu based devices by the Docker Corporation.The docker running version can be checked by running below command:docker version
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