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OpenTelemetry

by CNCF

CNCF observability standard providing vendor-neutral instrumentation APIs, SDKs, and collector for distributed traces, metrics, and logs across APAC engineering teams and multi-language microservices.

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AIMenta verdict
Recommended
5/5

"OpenTelemetry is the CNCF observability standard for APAC engineering teams — vendor-neutral instrumentation for traces, metrics, and logs exportable to any backend. Best for APAC teams wanting observability instrumentation that is not locked to a single observability vendor."

Features
7
Use cases
4
Watch outs
4
What it does

Key features

  • Vendor-neutral instrumentation — OTel SDKs for Go, Python, Java, JavaScript, Ruby, PHP, and 10+ languages
  • Auto-instrumentation — zero-code framework instrumentation for Django, Express, Spring Boot, gRPC, and databases
  • OTel Collector — central telemetry routing with sampling, transformation, and multi-backend export
  • OTLP protocol — standard trace/metric/log protocol supported by all major APAC observability platforms
  • W3C TraceContext — standard trace propagation across polyglot APAC microservice architectures
  • Baggage API — trace context propagation of custom metadata across APAC service call chains
  • Semantic conventions — standardised attribute naming for APAC telemetry interoperability across backends
When to reach for it

Best for

  • APAC engineering teams wanting future-proof observability instrumentation not locked to a single commercial vendor
  • Platform engineering teams managing polyglot APAC microservices needing consistent trace context across languages
  • Organisations evaluating multiple observability backends and wanting instrumentation that works with all of them
  • APAC DevOps teams wanting centralised telemetry routing with the OTel Collector before selecting a permanent backend
Don't get burned

Limitations to know

  • ! OpenTelemetry is an instrumentation standard, not a complete observability platform — APAC teams still need a backend (Jaeger, Prometheus, Grafana, or commercial)
  • ! OTel SDK maturity varies by language — Go and Java are stable; some APAC-used languages have less complete SDK implementations
  • ! Auto-instrumentation can produce excessive telemetry volume in high-throughput APAC services — Collector sampling configuration is required
  • ! OTel API stability is progressing; some APAC teams have experienced breaking changes in SDK minor versions during rapid development phase
Context

About OpenTelemetry

OpenTelemetry (OTel) is a CNCF graduated open-source observability framework that provides APAC engineering teams with standardised APIs, SDKs, and a Collector for instrumenting applications to emit distributed traces, metrics, and logs — exportable to any compatible observability backend (Jaeger, Prometheus, Grafana Tempo, Datadog, New Relic, Dynatrace, Honeycomb) without vendor lock-in.

OpenTelemetry's vendor-neutral architecture addresses the APAC enterprise observability problem that was historically created by using vendor-specific instrumentation libraries: an APAC organisation that instrumentated 50 microservices with Datadog's proprietary tracing SDK created a deep coupling between every instrumented service and Datadog. Migrating from Datadog to a competing platform required removing Datadog instrumentation and adding the new vendor's instrumentation across all 50 services. With OpenTelemetry, the instrumentation layer is vendor-neutral — switching observability backends requires only reconfiguring the OTel Collector exporter, not changing application instrumentation code.

OpenTelemetry's automatic instrumentation — which instruments popular APAC frameworks and libraries (Django, FastAPI, Express, Spring Boot, gRPC, MySQL, Redis, Kafka) without requiring manual trace span creation in application code — provides APAC engineering teams with baseline observability coverage with minimal code changes. Zero-code (agent-based) auto-instrumentation for Java and Python can add distributed tracing to existing APAC applications without any application code modification, by injecting instrumentation at JVM or Python runtime startup.

OpenTelemetry's Collector — which receives telemetry data from instrumented applications, processes it (sampling, transformation, batching), and exports it to one or multiple configured backends — is the central telemetry routing component for APAC observability architectures. APAC platform teams deploy the OTel Collector as a sidecar or daemonset in Kubernetes, route all application telemetry through the Collector, and configure Collector exporters to send traces to Jaeger, metrics to Prometheus, and logs to Elasticsearch — all from a single Collector configuration.

OpenTelemetry's cross-language consistency — which provides consistent trace context propagation across service calls regardless of whether each service is written in Go, Python, Java, or Node.js — is foundational for APAC microservices observability. A distributed trace that crosses a Python API, a Go processing service, and a Java reporting service maintains a coherent trace context only if all three services use compatible trace propagation — OpenTelemetry's W3C TraceContext propagation standard ensures this consistency across languages.

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