Successfully reported this slideshow.
Your SlideShare is downloading. ×

OpenTelemetry: From front- to backend (2022)

Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Ad
Loading in …3
×

Check these out next

1 of 24 Ad

OpenTelemetry: From front- to backend (2022)

Download to read offline

My contribution to the "Grafana & Friends" Meetup.

This presentation goes into the context in the Observability landscape, the basics of OpenTelemetry with its signals and lookout what to expect next.

My contribution to the "Grafana & Friends" Meetup.

This presentation goes into the context in the Observability landscape, the basics of OpenTelemetry with its signals and lookout what to expect next.

Advertisement
Advertisement

More Related Content

Recently uploaded (20)

Advertisement

OpenTelemetry: From front- to backend (2022)

  1. 1. Grafana & Friends Munich OpenTelemetry and Kafka: from front- to backend with OpenTelemetry
  2. 2. $ whoami - Sebastian Sebastian Poxhofer SRE @ N26 & Freelancer Github: @secustor Open Source Enthusiast & Contributor
  3. 3. Agenda - Context - Concepts - Lookout - Demo - QA
  4. 4. Why should I care?
  5. 5. What’s out there? / The state of observability - Microservices lead to a more complex debugging process - OSS - Observability pillars are separated - Proprietary products - Heavy vendor lock in, especially if SDKs are used - Public clouds - Mostly support only their own products - Limited imports available - Product changes require system redesigns - Metadata is not standardized
  6. 6. Origins
  7. 7. One protocol to rule them all The pillars of observability (signals): - Traces ( GA ) - Metrics ( GA ) - Logs ( Protocol is stable )
  8. 8. The container for monitoring?
  9. 9. But why OpenTelemetry and not Y? - Semantic conventions for metadata - Open standard - Supported by : - 300+ companies - 2,000+ contributors - 100,000+ contributions in the last year - CNCF ( incubating ) - FAANG ( MAANA? 🤔) + M
  10. 10. CONCEPTS
  11. 11. Distributed traces - Trace - TraceId - Span - SpanId - ParentSpanId - Attributes - Start- and Endtime - Events - Timestamp - Attributes - Baggage - Attributes
  12. 12. Context propagation - HTTP/2 - GRPC - Messaging - Depends on instrumentation - Kafka - RabbitMQ - ...
  13. 13. Metrics - Metrics - Name - Attributes - Value type ( integer, float, … ) - Unit of measurement - Types - Sum - Gauge - Histogram - Exponential Histogram
  14. 14. Logs - Severity - TraceData ( TraceId & SpanId ) - Timestamp - Attributes - Fields of structured logs - Exception data - Body
  15. 15. Components - Open Telemetry Protocol ( OTLP ) - SDKs - Instrumentation libraries - Auto instrumentation - Manual instrumentation - Collector - Kubernetes Operator - Specification ( standards for metadata )
  16. 16. Instrumentations Supported Languages: - Golang - Java - JavaScript/TypeScript - .NET - Swift - C++ - Python - ... Distributions: - Core - Contrib - Instrumentation
  17. 17. The collector pipeline
  18. 18. Collector components Receiver: - OTLP - AWS ( xRay, Container Insights ) - GCP ( Sub & Span) - Jaeger/Zipkin - Prometheus - Filelog - Kafka - … Processor: - Batch - MemoryLimiter - GroupByAttribute - GroupByTrace - Filter - SpanMetrics - K8Attributes - ... Exporter: - OTLP - AWS ( xRay, CloudWatch, …) - GCP - AzureMonitor - Jaeger/Zipkin - Kafka - Loki - Splunk - …
  19. 19. What’s next?
  20. 20. Status - Auto instrumentation available - Java - JS - Python - Ruby - Opentelemetry Operator in development - Java, Python, NodeJS agent injection possible - Horizontal autoscaling for Prometheus ingestion - Prometheus CRD support
  21. 21. Lookout - Agent Management Protocol - eBPF tracing - Profiling signal - .NET auto instrumentation
  22. 22. Links - Instrumentations: https://opentelemetry.io/registry/ - Collector - Receivers: https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/receiver - Exporters: https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/exporter - Demo: https://github.com/open-telemetry/opentelemetry-demo
  23. 23. Demo
  24. 24. Q&A

×