👀 Views: 974 💬 Answers: 1 📅 Created: 2025-08-07

kubernetes jobs parallel-processing yaml

I'm performance testing and I'm a bit lost with I've been struggling with this for a few days now and could really use some help... I'm running a Kubernetes Job that is supposed to execute multiple parallel tasks for data processing, but it's failing with the behavior `BackoffLimitExceeded`. My Job is defined to have 5 completions, and I'm using the `parallelism` parameter set to 3. The Job spec looks like this: ```yaml apiVersion: batch/v1 kind: Job metadata: name: data-processor spec: completions: 5 parallelism: 3 template: spec: containers: - name: processor image: my-docker-repo/data-processor:latest command: ["/bin/sh", "-c", "echo Processing data; exit 1"] restartPolicy: Never backoffLimit: 4 ``` I've verified that the Docker image is built correctly and does contain the necessary command. However, it consistently fails with `exit code 1`, which is causing the Job to terminate early. I've tried increasing the `backoffLimit` to 10 thinking it might give the pods more time to succeed, but this did not help. When I check the logs for the failing pods, they show: `Processing data` followed by the exit code 1 message. I've also looked into the events associated with the Job, and I see warnings about the pods failing repeatedly. I'm trying to understand why the Job is exiting prematurely and what steps I can take to ensure that it can complete successfully. Could this be related to how Kubernetes handles parallel execution or is there a way to debug the specific command execution within the Job? I'm working on a CLI tool that needs to handle this. Is there a better approach? My development environment is Debian.