Tekton PipelineRun pending

PipelineRun is waiting for a resource or condition.

Understanding Tekton

Tekton is a powerful and flexible open-source framework for creating CI/CD (Continuous Integration and Continuous Deployment) systems. It allows developers to define and run pipelines, which are sequences of tasks that automate the process of building, testing, and deploying applications. Tekton is designed to be cloud-native, leveraging Kubernetes to provide scalability and reliability.

Identifying the Symptom: PipelineRun Pending

When working with Tekton, you might encounter a situation where a PipelineRun is stuck in a pending state. This means that the pipeline execution has not started yet, and it is waiting for certain conditions or resources to be available.

What You Observe

In this scenario, you will notice that the PipelineRun status remains pending for an extended period. This can be observed by running the following command:

kubectl get pipelinerun -n <namespace>

The output will show the status as Pending.

Exploring the Issue

The pending state of a PipelineRun typically indicates that it is waiting for a resource or condition to be satisfied. This could be due to missing input resources, unfulfilled conditions, or insufficient cluster resources.

Common Causes

  • Required resources are not available or incorrectly specified.
  • Conditions defined in the pipeline are not met.
  • Cluster resource constraints, such as insufficient CPU or memory.

Steps to Resolve the Issue

To resolve the pending PipelineRun, follow these steps:

1. Verify Resource Availability

Ensure that all resources required by the pipeline are available and correctly defined. Check the PipelineRun YAML for resource specifications and verify their existence:

kubectl get resources -n <namespace>

Make sure that the resources are correctly referenced in the pipeline.

2. Check Pipeline Conditions

If your pipeline uses conditions, ensure that they are met. You can check the conditions by inspecting the PipelineRun status:

kubectl describe pipelinerun <pipelinerun-name> -n <namespace>

Look for any unmet conditions and address them accordingly.

3. Review Cluster Resources

Ensure that your Kubernetes cluster has sufficient resources to execute the pipeline. Check the available CPU and memory:

kubectl top nodes

If resources are insufficient, consider scaling your cluster or optimizing resource requests and limits in your pipeline tasks.

Additional Resources

For more detailed information on Tekton and troubleshooting, consider visiting the following resources:

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