Bad API Observability - KCD Austria 2023
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Observability has become a buzzword, and the API world is slowly catching up. But be careful when looking for content about API observability- there are many outdated best practices and irrelevant pieces of content out there. Based on the blog: https://tyk.io/blog/bad-api-observability/
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- 1. 1 KCD AUSTRIA September 26th -27th 2023 Bad API Observability Sonja Chevre Tyk Technologies
- 2. This talk was inspired by a conversation with Stephen Townshend from SlightReliability
- 3. Why is API Observability a thing?
- 4. APIs have become building blocks of the digital world 01
- 5. APIs are products that generate revenue 02
- 7. A simple example API gateway with OTel built-in API users Authentication Authorization API versioning Rate-limiting Request/response transformation Built-in telemetry Services
- 8. Observability stack spans API gateway with OTel built-in Services Collector Span metrics connector spans
- 9. observability anti-patterns to avoid when working with APIs 7
- 10. Anti-pattern #1 relying on API monitoring only
- 11. API Monitors API Monitoring = Black box testing API gateway with OTel built-in API Monitors Services API Monitors
- 12. API Monitoring For uptime, availability, SLAs, All good!
- 13. The reality
- 15. Anti-pattern #2 you forgot your users
- 17. 400 401 404 405 Bad Request Unauthorized Not Found Method Not Allowed Monitor client error responses For better developer experience,
- 18. Who are your users? What problems do they face? Answering those questions allow you to shift from reactive to proactive. Metrics per API users
- 19. Anti-pattern #3 using API access logs for troubleshooting
- 23. Anti-pattern #4 Starting the trace at the API gateway is overrated
- 24. A lot of room for errors! (rate-limiting, authentication, )
- 25. Anti-pattern #5 different teams, different tools, different data
- 26. Centralized API platform with multi-teams API gateway with OTel built-in Users Service B (team 2) Service A (team 1) spans spans spans
- 27. Observability pipelines to the rescue spans Collector Telemetry pipeline API platform team All the spans Dev team 1 Spans for their APIs Dev team 2 Spans for their APIs
- 28. OTel Collector config to send the same spans to multiple observability back-ends Telemetry pipelines
- 29. Processors https://github.com/open-telemetry/opentelemetry -collector-contrib/tree/main/processor
- 30. Anti-pattern #6 one size fits all
- 31. REST is still very popular, but not the only option
- 32. Remember this?
- 33. GraphQL errors are handled differently The request returns HTTP status code 200 even though the response contains an error Here is the error!
- 34. GraphQL errors are not reported on the span
- 35. Report the error to the active span with manual instrumentation
- 36. The error is now recorded in the span Including error details
- 37. Anti-pattern #7 observability is for production only
- 38. Increase collaboration between teams OBSERVABILITY FOR DEVS Add JSON trace in Jira ticket
- 41. Your availability is irrelevant if your users are upset Forget about logs for troubleshooting API requests Leverage OTel to break silos between teams Understand your tech stack (REST, GraphQL, gRPC, ) Users first SUM IT UP