Alice in OpenTelemetry Land
summary
Deployment of OpenTelemetry on a Quarkus app running in Kubernetes using a central collector plus sidecars, sending OTLP over gRPC/HTTP. Uses Prometheus and Grafana for metrics, Tempo for traces, and Loki (via DaemonSet) for logs, with the OpenTelemetry Operator to manage collectors; correlation of metrics and traces works after setting resource attributes, while logs need node agents and custom parsing and lose some enriched attributes. Important findings: the collector is not a storage, automatic resource enrichment can fail with sidecars, and careful handling of resource attributes (read the manual) is essential.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 6:43OpenTelemetry overview
- 13:06Collector deployment
- 17:19Resource importance
- 23:16OpenTelemetry operator
- 26:05Metrics setup
- 31:34Trace integration
- 36:12Log management
- 44:40Summary
related talks
50mAlice in Opentelemetry Land
43mAlice in Opentelemetry Land
42mDistributed Tracing Integration with OpenTelemetry and Knative
08mOpenTelemetry and Quarkus
34mDistributed Tracing Integration with OpenTelemetry and Knative
26mEmpowering Quarkus Applications with AI and OpenTelemetry on Kubernetes
25mOpenTelemetry Collector Deployment Patterns
31mDistributed Tracing Integration with OpenTelemetry and Knative