Zipkin
Zipkin — distributed tracing system for gathering timing data.
Stack Components
Why
OpenTelemetry-compatible, lightweight, visualizes latency bottlenecks across services. 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 distributed tracing in microservices. Avoid for monoliths.
How
Example
Common Problems
- ⚠High cardinality tags — limit tag values
- ⚠Storage backend slow — use Elasticsearch or Cassandra
- ⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical
Best Practices
- ✓Sample traces in production to reduce overhead
- ✓Use consistent service names across spans
- ✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit
FAQ
What is Zipkin and what projects is it for?
Zipkin — distributed tracing system for gathering timing data. 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 Zipkin in 10 minutes?
Two steps: (1) Run Zipkin server via Docker; (2) Configure app to export 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 Zipkin and how do I avoid it?
The most common pitfall is: High cardinality tags — limit tag 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 Zipkin?
Best practices for Zipkin include: Sample traces in production to reduce overhead; Use consistent service names across spans; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Sample traces in production to reduce overhead" — should be set up at project init to avoid costly rework later.
When should I NOT choose Zipkin?
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). Zipkin shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.