What's Next in Platform Engineering
summary
Seven years of work since 2019 moves from one-off CI/CD pipelines to a unified internal developer platform that enforces a golden path and self-service across hundreds of repos; platform integrates Kubernetes, Docker, GitHub/GitLab, Jenkins, Grafana, Elasticsearch, Mongo and Jira. Team adds AI: a locally hosted Ollama local LLM plus agents and a workflow engine that calls playbooks, Ansible and bash; demo generates code via a copilot-style stream, runs in Docker from Docker Hub, queries a Jira ticket (example ticket 1000) and works but shows latency and cost trade-offs. Also adopts Model Context Protocol adapters for tool integration and notes editing limits and API key security concerns.
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chapters (5)
- 0:00Introduction to platform engineering
- 5:05Platform engineering evolution
- 13:36Internal development platform demo
- 21:04Model context protocol overview
- 27:11Future of integrated workflows
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