Pipeline patterns to aid your next deployment
summary
Covers four concrete pipeline patterns and working demos: capture pipeline metrics with GitLab CI exporter into Amazon Managed Prometheus and Grafana; apply schema migrations using migrate (Go) run from a CloudFormation custom‑resource Lambda with CDK to sequence DB bootstrap and app deploys; run resiliency tests with the AWS Fault Injection Simulator to trigger an Amazon RDS failover and validate fixes such as adding RDS Proxy; and rollout a toggled feature via AWS AppConfig with immutable versions and a separate fast config pipeline.
AI-written summary · about
chapters (7)
- 0:00Introduction to pipelines
- 3:19Demo architecture baseline
- 5:34Pipeline observability
- 8:16Automated schema migrations
- 16:24Chaos and resiliency testing
- 20:09Pipeline managed feature flags
- 27:47Conclusion and resources
related talks
26mIntelligent Deployment Pipelines
24mReinvent your pipeline with GitLab, Kubernetes, and Amazon EKS
02h 47mPipes on Pipelines
23mCI/CD at Scale: Best practices with AWS DevOps Services
38mAccelerating innovation through AWS Cloud technology
02mAdvanced Deployment Pipeline Techniques.
45mBecoming a Plumber: Building Deployment Pipelines
42mTrick or Treat Your Pipeline: A Haunting Tale...
