InfoQ Homepage Observability Content on InfoQ
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DigitalOcean Launches Learning and Data Services to Enable Self-Improving AI Agents
DigitalOcean has announced the public preview of Learning Services and Agent Data Services, enabling developers to build, evaluate, and continuously improve AI agents within a unified, AI-native, cloud platform.
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Readyon Builds Four Layer Tenant Isolation for Multi Tenant Amazon EKS
ReadyOn has detailed a four-layer tenant isolation architecture for its Harmony platform on Amazon EKS. The design combines Kubernetes namespaces, dedicated Karpenter node pools, VPC security groups, and per-tenant Aurora databases, with controls evaluated against a 10-stage multi-tenant threat model focused on cross-tenant access and lateral movement.
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Cloudflare Brings On-Demand CPU and Memory Profiling to Production Workers
Cloudflare has introduced on-demand CPU and memory profiling for Workers and Durable Objects, allowing developers to investigate performance bottlenecks in production using interactive flamegraphs.
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NestJS 12: ESM Packages, Standard Schema Validation and Native Observability
NestJS version 12 has been released, transitioning core packages to ESM and adding Standard Schema validation. It updates the CLI and introduces an observability SDK. Key changes include project generation choices between CJS and ESM, improved validation options, and lifecycle project hooks. Users will need Node.js 20.19+ or 22.12+. Migration guides are available for upgrading.
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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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Grafana Applies SLOs and Error Budgets to AI Agent Behaviour
Grafana Labs is proposing a familiar reliability engineering approach for one of the less familiar problems in modern software: how to measure whether an AI agent is actually behaving well.
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Grafana Tempo 3.1 Adds Query-Based Trace Redaction and Sampling-Aware TraceQL Metrics
Grafana Labs has released Tempo 3.1, the first minor update to the 3.0 architecture. It adds TLS and additional SASL mechanisms to the Kafka client, lets operators redact traces with a TraceQL query instead of a list of trace IDs, and introduces an experimental query-time hint that corrects TraceQL metrics for sampled data.
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Spotify More Than Doubled Monthly Code Changes as AI Accelerated Development
Spotify reports that AI-assisted development more than doubled monthly merged changes, prompting a review of quality and reliability controls across its engineering organization. The company describes changes to testing, observability, rollback capacity, workload prioritization, and automated maintenance as it adapts to higher software change volume.
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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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Amazon CloudWatch Omni Extends CloudWatch into the Agent Era
Recently launched, Amazon CloudWatch Omni is an AI-first observability platform designed to monitor, evaluate, and troubleshoot applications and autonomous AI agents in a unified environment.
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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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Grafana Turns Cypress Test Results into Persistent Observability Data
Grafana Labs has published a practical approach for monitoring Cypress test suites by converting test results into Prometheus metrics and sending them to Grafana Cloud.
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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.