InfoQ Homepage OpenTelemetry Content on InfoQ
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Uber Automates Dependency Analysis across its Service Mesh
Uber has developed an automated dependency analysis system that uses RPC middleware and production metrics to correlate caller and downstream failures. The approach classifies dependencies as fail-close, fail-open, or unknown and addresses limitations of sampled distributed tracing for rare failures across Uber’s large service mesh.
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Cloudflare Traces Turns the Proxy Layer into OpenTelemetry Spans, with New Volume-Based Pricing
Cloudflare has put Traces into open beta, extending automatic tracing from Workers to security rules, transformations, cache, routing and origin handling as OpenTelemetry spans. Traces accept and forward W3C traceparent headers, and Trace Rules allow targeted sampling. Pricing moves to ingestion and retention volume from December 1.
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OpenTelemetry Makes Kubernetes Attributes Processor Stable as Observability Schema Matures
OpenTelemetry has promoted its Kubernetes Attributes Processor to v1.0.0, marking a significant step in making Kubernetes telemetry more predictable and stable across observability pipelines.
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Atlassian Rebuilds Metrics Pipeline Around OpenTelemetry at Massive Scale
Software company Atlassian has published an account of its migration from gostatsd to OpenTelemetry, replacing the internal workings of a metrics platform that receives data from about 100,000 hosts across 14 regions. The existing service had a 99.95% SLO, so the team had to change the platform without disrupting the metrics used by production alerts.
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Stateless MCP Removes Session Affinity Requirements for AWS Server Deployments
AWS details how the latest Model Context Protocol specification removes protocol-level sessions, sticky-session requirements, and session storage for remote MCP servers. The change enables independent request routing and simpler horizontal scaling while shifting application state, retries, observability, and idempotency concerns to other layers.
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Session Traces and Cost Controls Help Diagnose AI Agent Failures
Session traces and cost controls are emerging as key observability techniques for diagnosing AI agent failures, helping teams spot tool-call loops and runaway spend while preserving enough execution context for post-incident debugging.
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Cloudflare Adds Agent Tracing, with Truncation Limits and Uneven Payload Defaults
Cloudflare launched agent tracing, adding spans for agent invocations, model calls, tool runs, and approvals to existing Workers traces. Sessions replay turn by turn, though the docs warn traces are not lossless and payloads may be truncated. Payload recording defaults differ by framework, and from October 1, 2026 every span counts as a billable event.
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Expedia Uses AI-Driven Service Telemetry Analyzer to Accelerate Incident Investigation
Expedia Group has introduced STAR, an internal AI-assisted observability platform that helps engineers investigate production incidents using service telemetry and LLMs. Built with FastAPI, Datadog, Celery, Redis, and Langfuse, STAR follows structured workflows to analyze telemetry, generate root cause assessments, and support incident response while keeping engineers in the loop.
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Cloud Native Infrastructure Emerges as the Foundation for Trustworthy Agentic AI
A new technical analysis published by the Cloud Native Computing Foundation (CNCF) argues that the future of agentic AI will be built not on entirely new infrastructure, but on the mature cloud-native ecosystem that already powers modern distributed applications
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OpenTelemetry Graduates to CNCF's Highest Maturity Level
The Cloud Native Computing Foundation (CNCF) has announced the graduation of OpenTelemetry, elevating the project to the foundation's highest level of maturity and formally recognizing it as production-ready for enterprise use.
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OpenTelemetry Launches “Blueprints” Initiative to Simplify Enterprise Observability Adoption
OpenTelemetry has introduced a new "Blueprints" initiative aimed at reducing the growing complexity of deploying and operating observability systems at scale.
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AdonisJS v7 Ships End-to-End Type Safety, Reworked Starter Kits and Zero-Config OpenTelemetry
AdonisJS version 7 introduces end-to-end type safety and reworked starter kits, alongside improved documentation. The release includes 45+ updated packages and three new ones for OpenTelemetry, typed content. It requires Node.js 24, allowing the use of native APIs. The framework emphasizes a convention-over-configuration approach while offering tools for routing, ORM, and authentication.
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Amazon CloudWatch Introduces OpenTelemetry Metrics Support in Preview
AWS has introduced the public preview of OpenTelemetry metrics support in Amazon CloudWatch. This update allows developers to send metrics directly to CloudWatch using the OpenTelemetry protocol and view them alongside existing AWS service metrics.
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How Observability and Telemetry Can Enhance the Practice of Software Engineering
Observability must evolve with serverless, event-driven architectures. OpenTelemetry can decouple telemetry from vendors, letting developers emit consistent, high-quality data that explains real system behavior. Shared vocabularies and good telemetry make debugging faster and improve reliability, speed, and developer productivity.
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OpenTelemetry Declarative Configuration Reaches Stability Milestone
The OpenTelemetry project has announced that key portions of its declarative configuration specification have reached stable status. The observability framework is a vendor-neutral and language-agnostic way to configure telemetry collection.