Platform Engineering in 2026: Building Internal Developer Platforms That Teams Actually Love
in Devops / Platform engineering on Platform-engineering, Idp, Devops, Developer-experience, Backstage, Kubernetes, Golden-path
in Devops / Platform engineering on Platform-engineering, Idp, Devops, Developer-experience, Backstage, Kubernetes, Golden-path
in Devops / Observability on Opentelemetry, Otel, Observability, Tracing, Metrics, Logs, Distributed-systems, Monitoring
in Cloud / Finops on Finops, Cloud-cost, Aws, Gcp, Azure, Optimization, Kubernetes, Cost-engineering
in Ai / Architecture on Ai, Agents, Llm, Automation, Multi-agent, Agentic-ai, Workflow
in Database / Backend on Postgresql, Database, Pgvector, Timescaledb, Vector database, Graph database
There’s a meme in the database community: “Just use Postgres.” It started as a half-joke. Now it’s serious architectural advice. In 2026, the question isn’t whether PostgreSQL can handle your use case — it’s whether the operational simplicity of “one database to rule them all” outweighs the theoretical performance advantages of a specialist.