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DevOps Pipeline and Methodology

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DevOps Pipeline

A pipeline in software engineering team is a set of automated processes which allows DevOps professionals and developer to reliably and efficiently compile, build, and deploy their code to their production compute platforms.

The most common components of a pipeline in DevOps are build automation or continuous integration, test automation, and deployment automation.

A pipeline consists of a set of tools which are classified into the following categories such as:

  • Source control
  • Build tools
  • Containerization
  • Configuration management
  • Monitoring

Continuous Integration Pipeline

Continuous integration (CI) is a practice in which developers can check their code into a version-controlled repository several times per day. Automated build pipelines are triggered by these checks which allows fast and easy to locate error detection.

Some significant benefits of CI are:

  • Small changes are easy to integrate into large codebases.
  • More comfortable for other team members to see what you have been working.
  • Fewer integration issues allowing rapid code delivery.
  • Bugs are identified early, making them easier to fix, resulting in less debugging work.

Continuous Delivery Pipeline

Continuous delivery (CD) is the process that allows operation engineers and developers to deliver bug fixes, features, and configuration change into production reliably, quickly, and sustainably. Continuous delivery offers the benefits of code delivery pipelines, which are carried out that can be performed on demand.

Some significant benefits of the CD are:

  • Faster bug fixes and features delivery.
  • CD allows the team to work on features and bug fixes in small batches, which means user feedback received much quicker. It reduces the overall time and cost of the project.

DevOps Methodology

We have a demonstrated methodology that takes an approach to cloud adoption. It accounts for all the factors required for successful approval such as people, process, and technology, resulting in a focus on the following critical consideration:

  • The Teams: Mission or project and cloud management.
  • Connectivity: Public, on-premise, and hybrid cloud network access.
  • Automation: Infrastructure as code, scripting the orchestration and deployment of resources.
  • On-boarding Process: How the project gets started in the cloud.
  • Project Environment: TEST, DEV, PROD (identical deployment, testing, and production).
  • Shared Services: Common capabilities provided by the enterprise.
  • Naming Conventions: Vital aspect to track resource utilization and billing.
  • Defining Standards Role across the Teams: Permissions to access resources by job function.

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