DEVOPS - PRACTICES AND BENEFITS
DEVOPS - PRACTICES AND BENEFITS
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