PostgreSQL Observability Summit
Friday, October 23 at 09:00–12:30
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Adrien Obernesser dbi-services
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Gülçin Yıldırım Jelinek ClickHouse
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Jimmy Angelakos pgEdge
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Lukas Fittl pganalyze
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Pavlo Golub CYBERTEC
Room: Auditorium 2
Track: Friday Community Events Day
Level: Intermediate
PostgreSQL now runs everywhere, on-prem, cloud-managed, on Kubernetes. Each deployment model comes with its own monitoring stack, its own blind spots, and its own trade-offs. At the same time, new workloads like AI/vector search with pgvector, agentic access patterns through MCP servers, and streaming pipelines are generating observability pressure that traditional tooling wasn't designed for.
This half-day summit brings together tool maintainers, cloud engineers, Kubernetes operators, and DBAs to explore what a unified PostgreSQL observability strategy looks like across deployment platforms, and where the gaps and opportunities are.
Topics include:
- Unified observability when PostgreSQL runs on bare metal, in the cloud, and on Kubernetes simultaneously.
- Monitoring AI/vector workloads (embedding ingestion, index build pressure, retrieval latency) alongside classical OLTP metrics.
- MCP servers and agentic access patterns: what new telemetry do we need?
- The tooling landscape (pg_stat_statements, pgwatch, pganalyze, PMM, pg_statviz, OTel, Prometheus/Grafana): gaps and future directions.
- Observability as a governance layer in regulated environments (DORA, RGPD, EU Data Act, ...).
- Beyond Sampling True Wait Event Tracing with pg_wait_tracer.pdf
- https://resources.pganalyze.com/pganalyze_PGConfEU_Stack_Based_Instrumentation.pdf
- https://vyruss.org/computing/slides/pgconfeu2026_pg_statviz.pdf
- OpenTelemetry in the Postgres Protocol.pdf
- pg19-monitoring-pgconfeu-observability-summit.pdf
- pg_stat_statements_v14_pgeu_community_events.pdf
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