Prometheus
Prometheus — monitoring and observability platform.
Stack Components
Why
Detect, diagnose, and resolve issues before users notice them. OpenTelemetry became the CNCF instrumentation standard in 2024, used by 70%+ of cloud-native orgs.
Sentry and Datadog lead error tracking with 30k+ paying customers each.
When
Use for production systems needing uptime and performance visibility. Avoid for local dev-only projects.
How
Example
Common Problems
- ⚠Prometheus high cardinality labels explode storage — limit label values
- ⚠Alert fatigue from noisy rules — tune thresholds and routing
- ⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical
Best Practices
- ✓Use SLO-based alerting with Prometheus for meaningful alerts
- ✓Sample traces to reduce {ne} cost while keeping coverage
- ✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit
FAQ
What is Prometheus and what projects is it for?
Prometheus — monitoring and observability platform. It pairs layered technologies for end-to-end type safety and out-of-the-box deploys, fitting everything from MVPs to production SaaS.
How do I spin up a working demo with Prometheus in 10 minutes?
Two steps: (1) Set up Prometheus agent/SDK; (2) Configure metrics/logs/traces. Get the local dev server running, then wire one real data source to verify the end-to-end loop.
What is the most common pitfall with Prometheus and how do I avoid it?
The most common pitfall is: Prometheus high cardinality labels explode storage — limit label values. Avoid it by adding the matching checklist to your PR template and running type-check + lint + unit tests in CI — three gates before merge.
What are the best practices for Prometheus?
Best practices for Prometheus include: Use SLO-based alerting with Prometheus for meaningful alerts; Sample traces to reduce {ne} cost while keeping coverage; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Use SLO-based alerting with Prometheus for meaningful alerts" — should be set up at project init to avoid costly rework later.
When should I NOT choose Prometheus?
Pick something else in three cases: (1) the team has zero experience with the core framework and the deadline is tight (learning-curve risk); (2) it's a pure content/marketing site (Astro is lighter); (3) you need very high throughput (>10k RPS) or strict-consistency microservices (Go/Rust). Prometheus shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.