The Benefits of Implementing Blue/Green Deployment in Your CI/CD Pipeline

The Benefits of Implementing Blue/Green Deployment in Your CI/CD Pipeline

Streamlining the process for effective deployment that will help developers to work productively and thus increase output

What exactly is Blue-Green Deployment?

Blue-green deployments refer to a Continuous Delivery technique that aims to eliminate deployment downtime and enables almost instant rollbacks. The method involves setting up two production environments, Blue and Green, that are nearly identical.

The Challenge of Automating Deployment

Automating deployment poses a challenge when it comes to transitioning software from the final testing stage to live production. The process must be executed quickly to minimize downtime. The blue-green deployment approach provides a solution by leveraging two identical production environments.

At any given time, one environment (e.g. blue) is live, while the other (green) is used for final testing of the new release. Once the software is confirmed to be functioning correctly in the green environment, the router is switched so that all incoming requests are directed to the green environment, while the blue environment becomes idle.

The way the end-user sees it, there is only one Production environment and no distinction between a Blue or Green environment.

Benefits of Blue-Green Deployments

Blue-green deployments offer more than just zero downtime as their primary benefit; they also provide three additional advantages.

  1. You won't require a separate staging environment: As your Blue and Green environments can act as a rotating staging and production environment. This eliminates the concern of errors arising from variations between production and staging environments, as both will be seen as production.

  2. In case of any issues after going live: You can perform an instantaneous rollback by swapping your Blue and Green environments again. This way, the previous code will already be functioning in the opposite environment.

  3. Implementing a straightforward disaster recovery plan: Involves utilizing two nearly identical environments, one of which can serve as a standby in the event of a disaster. Once you confirm that there is no need to roll back, deploying the new release to the other environment will provide a reliable backup option.

Efficiently establishing a CI/CD pipeline with optimal processes and practices is of utmost importance to facilitate product releases and lead the organization toward success.

Understanding CI/CD

In simpler words, CI/CD refers to an automated process that involves coding, building, testing, releasing, and monitoring a software product in a continuous and consistent manner.

Pipelines are predetermined sets of tasks that aid in comprehending what objectives must be achieved and at what point they must be completed. As much as possible, tasks are executed in parallel to hasten and expedite the delivery process.

A standard CI/CD pipeline comprises several stages, where code is pushed to the repository, the build is initiated, tested and ultimately deployed to the production environment.

CI/CD pipelines are custom-built to satisfy specific needs and requirements, and they can comprise several stages and tasks, which could be intricate and extensive.

What Are Continuous Integration (CI) and Continuous Delivery (CD) Pipelines?

A Continuous Integration (CI) and Continuous Delivery (CD) Pipeline operates by continuously compiling, validating, and deploying new code updates as they are written. This approach eliminates the need to wait for specific merge or release days, enabling teams to make faster, more frequent updates with greater precision through the introduction of automated steps. CI/CD Pipelines play a critical role in an efficient full deployment pipeline.

Creating an Optimal Deployment Pipeline

In order to create an optimal deployment pipeline, it is essential to continuously improve and evolve the development pipeline by incorporating new tools that enhance speed and automation. Some of the preferred tools for this purpose are:

  • Jenkins

  • Azure DevOps

  • CodeShip

  • PagerDuty