DevOps Lifecycle – Plan & Measure Your DevOps Phases


DevOps Lifecycle

DevOps is a lean and agile approach designed to seize market opportunities. For this, it is necessary to integrate the development and operations team to automate the processes. The key is to behave like a production system, where the development and quality control team work together and work well before they are ready for deployment. The agile environment helps to improve the quality process, where innovation is promoted among team members and the entire execution process is optimized.

When describing DevOps, it is also necessary to understand the difference between “agile” and “DevOps”. This is to ensure that potential organizations need to understand the main difference between the two. Agile is about changing the way of thinking with limited reach.

On the contrary, the scope of DevOps services is broad, encompassing cultural changes with the participation of all those involved in the delivery of IT products. To do this, release managers use tools such as application version automation and continuous integration tools to achieve project goals, with a focus on the continuous delivery approach.

Let’s make it clear that DevOps is not an innovative technology, tool or structure. It’s more of a philosophy and a concept. We can also think of it as an enterprise culture where application lifecycle management is at the center of attention.

However, in simple words, DevOps services are 1) Development 2) Operations. The team has different responsibilities in the application version management cycle. It is more related to communication, collaboration, feedback between different stakeholders, such as developers, testers, infrastructure team, configuration management team, deployment, etc.

DevOps Functions

What functions does DevOps integrate? For all those who wish to use this approach, they need to know the integration of several services, such as:

  • Continuous integration
  • Continuous deployment
  • Newspaper management
  • Load balancing
  • Followed
  • Infrastructure management

Continuous Integration: It is more a culture of integrating application code or source code into source code repositories, such as SVN and GIT, several times a day.

Construction tools, such as Ant and Maven, are used for archiving, integrating source code repositories and continuous integration tools, such as Jenkins, Atlassian Bamboo, etc.

Continuous Tests: Automation testing services, or unit testing services to be more precise. Junit or Selenium is used for this type of automated test and these tools are integrated into the continuous integration behavior of the tools.

Continuous provisioning or cloud provisioning: Virtual machines or cloud instances are highly available, flexible and pay for use. It pays to create different types of instances for different environments, such as development, testing, preparation, and production. Different cloud service providers, such as Microsoft Azure, Amazon Web Services, can be used. Different cloud service models can be considered, such as infrastructure as a service or platform as a service.

Configuration Management: Configuration management is useful for preparing the runtime environment consistently across all environments. Chef, Puppet or Ansible can be used as configuration management tools. It is very easy to manage resources with these tools in the cloud environment.

Continuous delivery or continuous deployment: Continuous delivery or continuous deployment is terms used freely in everyday use. Continuous delivery can be used when the package file is ready to be deployed in any environment, while the term continuous deployment can be used when the package file is ready to be deployed in production.

Test Automation

It is always useful to orchestrate the end-to-end application version management process. The visibility of the orchestration provides information about the end-to-end automation testing services, which is very useful for creating and maintaining the DevOps culture.

The objective is to allow development and quality assurance (QA) teams to develop and test systems that behave like the production system, so that they can see how the application behaves and works well before that it is not ready to be deployed. . On that note, automation is necessary to create reproducible and reliable processes.

Organizations must have a clear understanding of DevOps automation testing services and how to get the most out of it through a DevOps approach. For this, it is important to understand that continuous monitoring of applications and environments is the key to the success of the business, by improving the code and the processes.

Unlike traditional isolated monitoring applications that are disconnected at the end of production, DevOps suggests that the process be started early in the lifecycle to monitor quality and functionality in the development and test phases, which provide early warning on operational and quality problems that may arise in production. . The rapid return and rapid learning of actions allow fast and reliable deliveries, with better communication within the teams and the conquest of the factor of confidence of the end customer.

DevOps proposes the adoption of the plan, develops tests, deploys and operates continuously to meet tight deadlines and deploy the application on the end market to obtain feedback for continuous improvement.

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Prakash Pilley