DevTools & Infra

Modern Full-Stack Observability

Cover logs, metrics, traces, and RUM for production engineering teams — with both a cost-efficient OSS path and a premium managed path.

Platform and SRE teams at growth-stage or enterprise companies running distributed services in production $0 (full OSS self-hosted) to $3,000–$15,000+ (Datadog managed, 50–200 hosts with APM and logs) 📦 10 tools
Production systems fail in ways you cannot predict. Full-stack observability means correlating logs, metrics, distributed traces, and real-user monitoring (RUM) in one coherent workflow. This use case presents two parallel paths: a Grafana-stack OSS tier (free up to scale) and a premium managed tier (Datadog / Honeycomb / Axiom) for teams that prefer operational simplicity. Sentry covers frontend/backend error tracking on both paths, and PostHog captures product-level RUM. OpenTelemetry is the vendor-neutral instrumentation layer that makes switching between backends feasible.

The Stack

OpenTelemetry

— Instrumentation layer

Vendor-neutral SDK and collector for traces, metrics, and logs. Instrument once, route to any backend. Prevents lock-in to a single observability vendor.

Grafana

— Unified observability dashboards (OSS path) optional

Connects to Prometheus, Loki, and Tempo as data sources. Single pane of glass for all signals. Free self-hosted; Grafana Cloud has a generous free tier.

Prometheus

— Metrics storage and alerting (OSS path) optional

Industry-standard pull-based metrics. PromQL is the de-facto metrics query language. Pairs with Alertmanager for on-call routing.

Alternatives: thanos, cortex, victoria-metrics

Loki

— Log aggregation (OSS path) optional

Prometheus-style log indexing — stores only labels, not full text. Dramatically cheaper than Elasticsearch at scale. Integrates natively with Grafana.

Alternatives: jaeger, zipkin

Tempo

— Distributed tracing backend (OSS path) optional

Pairs with Grafana for trace correlation. Stores traces in object storage (S3/GCS), keeping cost predictable even at high trace volume.

Datadog

— All-in-one managed observability (premium path) optional

Unified APM, logs, metrics, synthetics, and RUM in one SaaS platform. Best-in-class AI-assisted root-cause analysis. High cost at scale — budget carefully.

Alternatives: new-relic, honeycomb

Honeycomb

— High-cardinality event analytics (premium path) optional

Purpose-built for query-driven debugging of distributed traces. Excels where Datadog/Grafana struggle with high-cardinality fields (user IDs, request paths).

Axiom

— Affordable managed log analytics optional

Stores unlimited logs at a flat predictable price. Good Datadog logs replacement for log-heavy workloads. Ships a native OpenTelemetry endpoint.

Sentry

— Error tracking and session replay

Captures stack traces, release regressions, and user session replays. Covers both frontend JS errors and backend exceptions. Works on OSS and managed paths.

PostHog

— Product analytics and RUM optional

Adds user-level session recordings, feature flags, funnels, and A/B testing alongside basic frontend performance monitoring. Can be self-hosted for data privacy.

Alternatives: umami, plausible

Gotchas

  • ⚠️ Datadog billing is notoriously complex — ingestion volume, number of hosts, and APM spans are billed separately. A single chatty microservice can triple your bill overnight. Set spend alerts and carve out log exclusion filters on day one.
  • ⚠️ The Grafana OSS stack requires real operational investment: Prometheus needs sharding or Thanos/Cortex for HA, Loki needs careful label design to stay performant, and Tempo needs object-storage lifecycle policies. Budget 0.5–1 FTE of platform time.
  • ⚠️ OpenTelemetry auto-instrumentation adds ~5–15 ms overhead per request in some languages. Benchmark your critical paths before rolling out to production.
  • ⚠️ Sentry session replay captures PII by default. Configure scrubbing rules before enabling replay in production environments subject to GDPR/CCPA.
  • ⚠️ Mixing OSS and managed tools (e.g. Grafana Cloud + Axiom + Sentry) can create alert correlation gaps — invest in a unified on-call runbook so engineers know which tool to open first.

Related Stacks

Kubernetes Platform Foundation

Core tooling for an internal Kubernetes platform team — GitOps delivery, policy enforcement, secret management, cluster autoscaling, and backup.

Modern CI/CD Starter Kit

Fast, maintainable CI/CD for a new codebase — GitHub Actions as the orchestrator, turbo/Nx for build caching, and drop-in fast runners to cut pipeline minutes.