Discover seamless observability with eBPF
summary
eBPF deploys as a kernel-level sensor across nodes to capture traces, logs and metrics without code changes, generating a live dependency map and API catalog that surfaces slow SQL queries, HTTP/gRPC/Kafka calls and the exact request payload that caused a 500. Installation runs as a DaemonSet or EKS add-on and completes in about 60 seconds, data processing uses ClickHouse and VictoriaMetrics and stores results in the customer cloud, offering 100% visibility, no volume pricing and up to 90% cost reduction.
AI-written summary · about
chapters (6)
- 0:00The challenges of observability
- 4:05The power of eBPF technology
- 7:59Rethinking data and costs
- 10:54Streamlined onboarding
- 12:13Product demonstration
- 17:58Summary and conclusion
related talks
27mStep By Step Kubernetes Observability with eBPF
31mTrue Kubernetes Observability with eBPF
31mZero instrumentation observability with eBPF
19mNetwork X-Ray Vision: eBPF for Cloud-Native Observability
31meBPF for Observability: The Good, the Bad, and the Ugly
31mEffortless, standardised homelab observability with eBPF
31mBridging Dev and Ops with eBPF: Extending Observability Upwards and Downwards
37meBPF: Revolutionizing Observability and Telemetry for Modern Applications