Trigger a pipeline redeployment manually (2024)

FAQs

Trigger a pipeline redeployment manually? ›

Set a manual pipeline

If you want a pipeline to only run manually then use a custom pipeline. Custom pipelines do not run automatically on a commit to a branch. To define a custom pipeline, add the pipeline configuration in the custom section of your bitbucket-pipelines.

Set a manual pipeline

If you want a pipeline to only run manually then use a custom pipeline. Custom pipelines do not run automatically on a commit to a branch. To define a custom pipeline, add the pipeline configuration in the custom section of your bitbucket-pipelines.

Start a pipeline manually (console)

Sign in to the AWS Management Console and open the CodePipeline console at http://console.aws.amazon.com/codesuite/codepipeline/home . In Name, choose the name of the pipeline you want to start. On the pipeline details page, choose Release change.

To manually trigger a pipeline or configure a new scheduled, tumbling window, storage event, or custom event trigger, select Add trigger at the top of the pipeline editor. If you choose to manually trigger the pipeline, it will execute immediately.

You can trigger pipelines in response to Git events that match specific payload conditions you set up in a Harness trigger. For example, when a pull request or push event occurs on a Git repo and your trigger settings match the payload conditions, a CI or CD pipeline can run.

Testing: Manually triggering a flow allows you to test its functionality and identify any issues before automating it. On-demand execution: Sometimes, you may need a flow to run immediately, regardless of its scheduled time or conditions.

Jenkins supports various triggering methods, cron, webhook, URL, upstream, etc. All triggers should be defined in the triggers block of the pipeline. cron is something like Unix/Linux cron. To write a cron trigger, use cron "MINUTE HOUR DOM MONTH DOW" syntax.

To trigger your pipeline using the webhook, you need to make a POST request to https://dev.azure.com/<org_name>/_apis/public/distributedtask/webhooks/<webhook_connection_name>?api-version=6.0-preview . This endpoint is publicly available, and no authorization is needed. The request should have the following body.

You can also invoke the AWS Data Pipeline activation API directly from the AWS CLI and SDK. To get started, create a new pipeline and use the default object to specify a property of 'scheduleType”:”ondemand”. Setting this parameter enables on-demand activation of the pipeline.

You can also create a trigger for a Lambda function in a CodeCommit repository. Doing so requires that you choose an existing Lambda function to invoke. It also requires that you manually configure the permissions required for CodeCommit to run the function.

How to do pipeline deployment? ›

A common approach is to use custom tags in the commit message. For instance, you could add `[skip ci]` or `[ci skip]` in the commit message. GitLab CI is designed to recognize these tags and will avoid executing the pipeline for commits that include them.

Triggers enable customer to orchestrate the DevOps process in an efficient manner by automating the CI/CD process. Triggers are events on which you can start your pipeline run automatically. You can enable triggers on your pipeline by subscribing to both internal and external events.

To trigger a pipeline upon the completion of another pipeline, configure a pipeline resource trigger. The following example configures a pipeline resource trigger so that a pipeline named app-ci runs after any run of the security-lib-ci pipeline completes.