# Observability Day at KubeCon + CloudNativeCon NA 2026
Observability Day returns on November 9, 2026, as a CNCF-hosted co-located event at KubeCon + CloudNativeCon North America in Salt Lake City. The program brings maintainers, platform teams, operators, and end users together to compare approaches across projects and discuss the practical work of observing cloud native systems in production.
Why this event matters
The focus is cross-project, vendor-neutral observability rather than single-project advocacy. That makes the day useful for teams that combine Prometheus, OpenTelemetry, Fluentd/Fluent Bit, Jaeger, Thanos, Cortex, Pixie, Perses, Kepler, Inspektor Gadget, and other CNCF observability projects. Content centers on how telemetry collection, pipelines, storage, correlation, and operations fit together in realistic architectures.
OpenTelemetry graduated within CNCF in May 2026, and the ecosystem is addressing new operational questions such as telemetry cost, scale, and data quality. Observability Day positions those discussions alongside project internals and real-world deployments so practitioners can weigh trade-offs.
Program themes to expect
- Project internals and cross-project architectures. Sessions dive into how projects interoperate and where integration effort is required.
- Telemetry pipelines, storage, and cost. Practical strategies for keeping telemetry useful while controlling storage and ingestion costs.
- Data quality and correlation. How to make metrics, traces, and logs actionable across distributed systems.
- eBPF-based instrumentation and agent approaches. talks and demos that explore lower-level observability techniques.
- CI/CD, platform telemetry, and operational workflows. How telemetry fits into continuous delivery and platform engineering.
The day emphasizes experience-driven content: real architectures, operational lessons, and concrete trade-offs rather than vendor pitches.
Origins and evolution
Who should attend
What you can take away
Attendees should leave with actionable perspectives and trade-offs to apply in production: concrete patterns for telemetry pipelines, methods to improve data quality while managing cost, instrumentation choices (including eBPF and agent models), and practical guidance for observing AI workloads. The event also helps map how CNCF observability projects complement one another as requirements change.
Practical note