Cloud-Native Observability with OpenTelemetry - Austin Parker

Learn how to achieve cloud-native observability with OpenTelemetry, a merger of OpenTracing and OpenCensus, providing standards for telemetry data, context-aware tools, and practices for operationalizing data.

Key takeaways

Observability is essential for cloud-native developers, as it helps to fix problems in systems understanding and software.
OpenTelemetry is a merger of OpenTracing and OpenCensus, managed by the Cloud Native Computing Foundation, and provides standards for telemetry data, context-aware observability tools, and practices for operationalizing that data.
Instruments can be configured to record telemetry data, which can be used to identify bottlenecks, errors, and opportunities for improvement.
Span propagation is how context gets passed between services.
Aggregate trace analysis can be used to analyze and understand complex systems.
OpenTelemetry provides out-of-the-box instrumentation for languages such as Java, Node.js, Python, and Go.
Use of OpenTelemetry for automated instrumentation and tracing can help to future-proof applications.
Features such as error handling, profiling, sampling, and/event detection can be useful for developers.
Tracing becomes cool when using distributed context-aware logging with propagators and trace context.
OpenTelemetry is an open-source project and has a large contributor community.
OpenTelemetry supports both batch and streaming data ingestion.
The OpenTelemetry API lets developers do more than just basic tracing.
OpenTelemetry supports custom metrics and uses OTEL Protocol (OTLP) for data transmission.
Cloud-based services like AWS Lambda can be instrumented with OpenTelemetry.
The OpenTelemetry collector can be configured to tag spans based on Kubernetes resources.
Observability helps to fix problems in systems understanding and software.
Propagators are used to propagate context between services.

Cloud-Native Observability with OpenTelemetry - Austin Parker

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