Streamlining Your Workflow: Implementing a Manual Approval Step in CircleCI Pipelines

Streamlining Your Workflow: Implementing a Manual Approval Step in CircleCI Pipelines

Overview:-

CircleCI is a powerful continuous integration and continuous deployment (CI/CD) platform that allows you to automate your software development workflows. While automation is key to faster deliveries, there are times when you need human intervention or approval before proceeding with certain steps in your pipeline. In this guide, we will walk you through the process of creating a CircleCI pipeline that includes a manual approval step.Let’s dive in and discover how to integrate manual approvals seamlessly into your CircleCI pipelines!#CI/CD #CircleCI #ManualApproval

Pre-requestisites:-

  • Circleci application with github repository configured.

  • Github Repository with Circleci full access.#GitHub #CircleCI

Procedure :-

  • First open your existing circleci config using a visual editor and add below step to create a manual approval job in your circleci.#Automation #Configuration

  • Replace the “YOUR DOCKER IMAGE” with the specified docker image .

  • Once the Step or Job is being added, Commit and push your changes to trigger the CircleCI pipeline. [When the pipeline reaches the manual approval step, it will pause and wait for someone to approve or reject the deployment.] #ContinuousIntegration #Pipeline #Deployment

  • After the commit is done, go head and check whether the job is running or not on your circleci as shown below.#JobStatus #Monitoring

  • Once the Build step is done it will move forward to the approval step.#BuildProcess #ContinuousDeployment

  • Click on hold job and then click on approve.#ManualApproval #Workflow

  • By manually clicking on approve it will move forward to the next step.#WorkflowProgress #Pipeline

Conclusion :-

By adding a manual approval step to your CircleCI pipeline, you gain more control over your deployment process, ensuring that critical changes are reviewed and approved before reaching production. This helps strike a balance between automation and human oversight, enhancing the reliability and security of your software delivery pipeline. #SoftwareDelivery #Automation #DeploymentProcess