1) Monitoring

• Navigate the Dataflow Job Details UI

• Interpret Job Metrics charts to diagnose pipeline regressions

• Set alerts on Dataflow jobs using Cloud Monitoring

2) Logging and Error Reporting

• Use the Dataflow logs & diagnostics widgets to troubleshoot pipeline issues

3) Troubleshooting and Debug

• Use a structured approach to debug your Dataflow pipelines

• Examine common causes for pipeline failures

4) Performance

• Understand performance considerations for pipelines

• Consider how the shape of your data can affect pipeline performance

5) Testing and CI/CD

• Run Testing approaches for your Dataflow pipeline
  

• Review frameworks and features available to streamline your CI/CD workflow for

Dataflow pipelines

6) Reliability

• Implement reliability best practices for your Dataflow pipelines

7) Flex Templates

• Using Flex Templates to standardize and reuse Dataflow pipeline code