Exploring OpenTelemetry: An Open Source Protocol for Cloud Observability

As the CEO of Trace Loop, I'm excited to share my insights on Open Elemetry, a game-changing open-source project that's transforming cloud observability and empowering developers to unlock the power of their applications.

  • 1. The speaker is from Trace Loop, and they will be discussing OpenTelemetry.
  • 2. OpenTelemetry is an open-source project maintained by the Cloud Native Computing Foundation (CNCF).
  • 3. It is one of the largest projects maintained by the CNCF, after Kubernetes.
  • 4. OpenTelemetry standardizes a way to do cloud observability in your cloud environment.
  • 5. It is supported by all major availability platforms, including Splunk, DataDog, Dynatrace, New Relic, Grafana, and Honeycomb.
  • 6. OpenTelemetry is a protocol that standardizes the way to do logging, metrics, and traces in your cloud application.
  • 7. Logging is the emission of arbitrary events during the lifetime of your application, which can be viewed later with metadata.
  • 8. Metrics are something you want to see on an aggregate level, such as CPU usage, memory usage, or latency.
  • 9. Tracing is tracking a multi-step process, which is especially useful in cloud environments with microservices communicating with each other.
  • 10. OpenTelemetry also includes SDKs for manually sending logs, metrics, and traces from your application in various languages like Python, TypeScript, Go, C++, and more.
  • 11. Instrumentations are a way to automatically get observability data without manually sending logs, metrics, or traces.
  • 12. Collectors allow you to do pre-processing of your observability data before sending it out to an observability platform.
  • 13. Instrumentations monkey patch the client library used within your application and emit all the data that you want to see in your observability platform.
  • 14. Collectors are self-deployable components that can filter out unimportant data, obscure PII or sensitive data, or send observability data to multiple providers.
  • 15. OpenTelemetry has been extended to support many generative AI frameworks, foundation models, and vector databases through instrumentations.
  • 16. Over 40 different providers are supported, including OpenAI, Entropic, Coherence, Gemini, Pinecone, Chroma, LlamaIndex, Crew, and Hstack.
  • 17. Instrumentations automatically emit logs, metrics, and traces, allowing you to connect LLM-based applications to your preferred platform.
  • 18. OpenTelemetry is a standard protocol, so it's easy to switch between platforms by changing configurations.
  • 19. All platforms that support OpenTelemetry use the same format, enabling seamless integration and migration.
  • 20. The speaker can be reached at near@tr.com or during the conference for questions.
  • 21. OpenTelemetry is a powerful tool for cloud observability, standardizing logging, metrics, and traces across various platforms and languages.
  • 22. By extending OpenTelemetry, Trace Loop now supports over 40 generative AI frameworks, foundation models, and vector databases.
  • 23. Instrumentations provide automatic observability data, while collectors enable pre-processing and multi-provider support.
  • 24. Using OpenTelemetry ensures flexibility in choosing an observability platform, as it is a standard protocol supported by multiple platforms.

Source: AI Engineer via YouTube

❓ What do you think? What are your thoughts on the ideas shared in this video? Feel free to share your thoughts in the comments!