See inside your running systems. Structured logging with ELK, metrics with Prometheus and Grafana, distributed tracing with OpenTelemetry, and alerting that reduces noise.
7 articles
eBPF enables kernel-level observability without application code changes. Learn how Cilium, Pixie, Falco, and bpftrace use eBPF for network monitoring, security, profiling, and tracing in production Kubernetes environments.
Most alerts are noise. Learn how to write actionable alerts by focusing on symptoms, implementing hysteresis, using multi-window burn rate alerting, and routing through Alertmanager. Includes a five-question checklist for every alert.
SLOs, SLAs, and error budgets turn reliability into a measurable resource. Learn how to choose SLIs, set realistic targets, calculate error budgets, and implement burn rate alerts with Prometheus.
Compare Grafana Loki, the ELK Stack, and AWS CloudWatch Logs for centralized log management. Understand the architecture, query languages, cost tradeoffs, and which solution fits your team and infrastructure.
OpenTelemetry is the vendor-neutral standard for distributed tracing. Learn the OTel data model, auto-instrumentation, Collector pipelines, tail-based sampling, and how to choose between Jaeger, Tempo, Honeycomb, and Datadog.
Deploy Prometheus and Grafana on Kubernetes using Helm. Learn the pull-based scrape model, PromQL essentials (rate, histogram_quantile, aggregation), Grafana dashboard design, recording rules, and Alertmanager routing.
Observability rests on three pillars: logs, metrics, and traces. Learn what each pillar does, how to instrument them, the RED and USE frameworks, and how to choose an observability platform without blowing your budget.
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