~/talk

How We Streamlined Our SDLC with Observability - from GitHUB via Jenkins, Harbor, Argo to K8S

slides:none on file

Company runs ~2,000 developers across three clouds and wires Backstage, GitHub, Jenkins, Harbor, Argo, Crossplane and Prometheus into OpenTelemetry and Dynatrace to auto-trace every delivery flow, produce a deployment dashboard that shows which component versions live on each stage, and surface bottlenecks and wait times per pipeline step. A single source-of-truth of SDLC events and quality gates (using Captain-style pre/post checks and Dynatrace SLO baselining) catches regressions; internal metrics show only ~40% developer productive time and 36% attrition risk, driving focused optimizations.

AI-written summary · about

  1. 0:00Introduction and context
  2. 2:08Company and SDLC overview
  3. 4:36Developer platform architecture
  4. 6:19Individual tool monitoring
  5. 9:59Pipeline observability
  6. 11:09Optimizing tool performance
  7. 13:19Streamlining artifact flows
  8. 17:10Key lessons learned
  9. 18:26Community and collaboration
  10. 21:15Q&A and closing
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