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From the beginning of software planning through code, build, test and release, deployment, operations, and release phases. This cycle of customer feedback for improvement, development, testing, and deployment. One of the results of these efforts can be the faster and more continuous release of necessary changes or additions to functionality.



Why DevOps Matters?

In addition to efforts to remove communication and collaboration barriers between IT development and operations teams, a core value of DevOps is customer satisfaction and faster time to value. DevOps is also designed to drive business innovation and continuous process improvement.

DevOps practice drives faster, better, and safer delivery of business value to a company's end customers. This value can be in the form of more frequent product versions, features, or updates. It can be about how quickly a product launch or a new feature gets into the hands of the customer - and all of this with the right level of quality and security. Or, you can focus on how quickly a problem or bug is identified, then fixed and reposted.

DevOps with transparent software performance, availability, and reliability supports by the infrastructure when it is first developed and tested and then put into production.


DevOps Methods

There are some common DevOps methods companies can use to accelerate and improve product development and release. They take the form of software development methods and practices. The popular methods that include Scrum, Kanban, and Agile:


·        Scrum

Scrum defines how team members should work together to streamline development and quality assurance projects. Scrum practices include important workflows and specific terminology (sprints, time box, Scrum daily [meeting]) and certain roles (Scrum Master, Product Owner).


·         Kanban

Kanban was born from the increase in efficiency in the Toyota workshop. Kanban states that the status of the current software project (WIP) is tracked on a Kanban board.


·        Agile

 Old methods of agile software development continue to have a major impact on DevOps practices and tools. Many DevOps methods, including Scrum and Kanban, contain elements of agile programming. The agile practices with changing needs and requirements, documenting requirements such as user stories, performing daily surveys, and incorporating ongoing feedback from users. clients. . Agile also dictates shorter software development cycles than traditional long “waterfall” development methods.



DevOps Toolchain

DevOps geeks are often using DevOps-friendly tools as part of their DevOps "toolchain". The motto is to, further automate and shorten the various phases of the software delivery workflow (or “pipeline”).  DevOps fundamentals of automation are promoted by many tools and integration between development and operations teams. Below is an example of tools used at different stages of the DevOps lifecycle.


·        To Plan. This phase helps define the business value and requirements.  tools are Jira or Git to track known issues and perform project management.

·        Encoded. This phase includes software design and software code creation.  tools such as GitHub, Stash GitLab, or Bitbucket.

·       Store. the store is where software management versions and releases and uses automated tools to compile and package code for future production versions. They use source code repositories or package repositories that also “bundle” the infrastructure required to launch the product. tools including the JFrog Artifactory, Ansible, Maven, Chef, Gradle, Puppet, or Docker.

·         To Verify. The phase that include a continue testing (manual or automated) to ensure optimal code quality.  tools such as Selenium, JUnit, Codeception, TestNG, Vagrant or BlazeMeter.

·         Insert. This phase includes tools to help manage, coordinate, plan, and automate product releases.  The tools such as Kubernetes, Puppet, Chef, Jenkins, Ansible, OpenStack, Docker, or Jira.

·         Occupation. This phase manages the software during production. Examples of tools are Ansible, Puppet, PowerShell, Chef, Salt, or Otter.

·        To Watch. This phase involves identifying and collecting information about problems with a particular version of the software in production. New Relic, Datadog, Grafana, Wireshark, Splunk, Nagios, or Slack Are Examples of tools.


 DevOps Practices

Many practices focus on one or more phases of the development cycle. These practices include:


·         Continuous development. This practice covers the planning and coding phases of the DevOps lifecycle. Version control mechanisms may be involved.

·         Continuous testing. This practice involves continuous, pre-programmed, automated code testing when writing or updating application code. These tests can speed up the delivery of code to production.


·         Continuous Integration (CI). This practice combines the (CM) configuration management tools with other test and development tools to control how much development code is ready for production. The given fast feedback in testing and development to quickly identify and resolve code issues.


·         Continuous delivery. This approach automates the post-testing deployment of code changes to a preproduction or staging environment. A team member can then decide to push these code changes into production.



·         Continuous delivery (CD). Similarly, this approach automates the release of new or changed code for production. A continuous deployment company may publish code or feature changes several times a day. Using container technologies like Docker and Kubernetes can enable continuous deployment and help maintain code consistency across platforms and deployment environments.


·         Continuous monitoring. This practice should monitor daily and continuously the running code and the underlying infrastructure that supports it. A feedback loop that reports bugs or issues and returns to development.



·         Infrastructure as code. This approach can be used in different phases of DevOps to automate the delivery of the infrastructure needed for a software release. Developers add infrastructure "code" from their existing development tools. For example, developers can create an on-demand storage volume from Docker, Kubernetes, or Open Shift. This approach also allows operations teams to monitor environmental settings, track changes, and facilitate configuration restoration.


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DevOps Benefits


DevOps advocates describe a number of business and technical benefits many of which can make customers happier.

Some DevOps benefits include:


·         Better and faster product delivery

·         Faster troubleshooting and reduced complexity

·         Increased scalability and availability

·         More stable operating environments

·         Better use of resources

·         Greater automation

·         Better visibility of the system results

·         More innovation

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