Practical observability guides for practitioners
Learn how to optimize OpenTelemetry Collector memory usage for LLM traces by implementing attribute stripping and a two-layer tail-based sampling architecture.
Learn how to define meaningful SLIs for autonomous agentic workflows. Move beyond latency to measure reasoning quality and cost-effective ground truth verification.
Learn to optimize OpenTelemetry Collector performance by replacing expensive OTTL regex patterns with high-performance string functions and batch tuning.
Learn how to identify, prevent, and recover from cardinality explosions in Prometheus and Thanos. Master ingestion guardrails, TSDB audits, and WAL recovery.
Learn how to detect and fix the default 2,000 cardinality cap in OpenTelemetry SDKs. Master the Views API and alerting strategies for otel.metric.overflow.
Master the OpenTelemetry Collector Builder (OCB) to eliminate version conflicts and build failures. Learn to create lean, custom distributions for production Kubernetes environments.
Master the migration from Micrometer tracing to OpenTelemetry in Spring Boot 4.x. Learn to map legacy tags to OTel semantic conventions and maintain dashboard parity.
Learn to mitigate OpenTelemetry resource overhead in AWS Lambda, resolve OTLP exporter queue saturation, and manage complex SDK architectural conflicts.
Master Kubernetes observability by learning how to correlate signals, manage high cardinality, and gain deep insights into self-healing infrastructure.
Learn how to overcome OpenTelemetry challenges like SDK immaturity, high storage costs, and instrumentation complexity with expert strategies and best practices.