In this reprint, author Andi Grabner, Performance Activist, Dynatrace, lays the case on what must be supported to implement a pipeline that will prevent bad code changes from impacting real end-users.
Read on to learn more about:
- How automated full stack monitoring can help you discover all processes regardless of technology stack
- Employing a shift right strategy to increase pipeline visibility and lower end-user risk
- How shifting left creates automation that helps pipeline quality
- Modern self-healing and how AI-powered data helps auto-remediation in production
