Simplifying and Scaling Software Delivery
summary
Claims a CI/CD platform that uses AI/ML to pick tests and run only what matters: a demo with 40 junit tests→1 selected cuts a sample cycle by five minutes and the company reports 70–80% reduction in build time in real use. It bundles continuous delivery as a service, continuous verification, git-backed declarative pipelines with a YAML editor and autocomplete, integrated feature flags (GA), and an auto-stopping saves $1,300 non-prod rule that orchestrates spot and on-demand instances across AWS Azure and Kubernetes.
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chapters (22)
- 0:00Introduction
- 1:04Generations of delivery systems
- 2:27Need for self-service pipelines
- 3:50Challenges with CI/CD
- 4:54Declarative and templatized pipelines
- 5:57Automotive pipeline lessons
- 6:39Building delivery confidence
- 7:00Harness platform overview
- 9:11Four key capabilities
- 10:36Test intelligence in CI
- 12:22Live demo setup
- 13:46Automating CI/CD with Harness
- 15:33Test intelligence benefits
- 21:12Next-gen developer experience
- 21:32Pipeline editing with YAML and UI
- 26:51Git-based pipeline management
- 27:11Feature flags in CI/CD
- 27:33Feature flags GA
- 34:05Cloud auto-stopping for costs
- 34:28Cloud cost management deep dive
- 40:29Summary and future
- 42:53Q&A
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