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…
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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 failur…
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 wheth…
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,…
Presentation: How Eve Online Leverages Head Based Sampling to Observe "Fun"
Nicholas Herring shares how EVE Online tackles distributed tracing and observability across a 20-year-old MMO architecture. He discusses leveraging…
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…
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 han…
Presentation: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale
Prasanna Vijayanathan and Renzo Sanchez-Silva share how Netflix tackles observability across 38M events/sec. They discuss replacing reactive monitor…
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…
Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balan…
Presentation: Beyond Observability: Evolving Production Operations in the Age of AI
The panelists discuss how production operations are evolving with AI, turning operational data into actionable insights for incident response. They…
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 aut…
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 pl…
Performance engineering from kernel analysis to AI: Adrian Cockcroft’s take
Over its five-year history, P99 CONF has hosted quite a few speakers who’ve offered pointed takedowns of the namesake metric. The post Perform…
Presentation: Adaptive Recommenders in the Real World: Inference, Evals, and System Design
Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedba…
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 fo…
Jacob Coxon warns AI could kill us all. Anthropic’s own report exposes safety gaps.
I’m Matt Burns, Chief Content Officer at Insight Media Group. Each week, I round up the most important AI developments, The post Jacob Coxon warns A…
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 a…
Presentation: Can Claude Fix Itself? Using LLMs for Incident Response
Anthropic reliability engineer Alex Palcuie shares practical lessons on using LLMs for real-world incident response. He explains where AI acts as a…
Microsoft Moves AI Governance From Policy to Runtime Enforcement
Microsoft has outlined an AI governance architecture spanning nine governance domains and four functions: policy, control, visibility, and proof. Th…
Presentation: Enchant Your AI and APIs with eBPF Magic 🪄
Dan Finneran discusses the risks of unowned AI-generated code in production and demonstrates how eBPF can intercept and control AI API traffic in Ku…
How to build smarter OpenSearch alerts: Join our live conversation
OpenSearch is a top-level open-source project under the Linux Foundation, backed by Amazon Web Services and other prominent players. The The post Ho…
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 re…
More Incidents Don't Necessarily Mean Less Reliability
One of the most common assumptions in engineering leadership is that a rising number of reported incidents signals declining system reliability. How…
Presentation: Keeping ChatGPT Fast as AI Development Accelerates
Martin Spier explains how agentic workflows dramatically increase code change volume at OpenAI. He discusses the hidden systemic performance costs o…
Instacart Builds Blueberry, an AI-Powered Assistant to Help On-Call Engineers Investigate Incidents
Instacart introduced Blueberry, an AI-assisted incident response system that helps on-call engineers investigate production issues faster. It combin…
AI Is Transforming Incident Response - but the Hardest Problems May Still Belong to Humans
Artificial intelligence is rapidly changing how engineering teams respond to production incidents, offering the ability to summarize incident channe…
Podcast: Culture & Methods Trends 2026: The Human Side of AI Engineering
This is the Engineering Culture Trends Report for 2026. Featuring a panel of QCon speakers and InfoQ contributors, they discussed AI adoption maturi…
HubSpot Redesigns JITA Authorization with Rule Engine Architecture
HubSpot has redesigned its Just-In-Time Access (JITA) authorization system using a rule engine architecture. The system evaluates access requests th…
AI Root Cause Analysis Shifts from Model Reasoning to Context Engineering
Engineers are increasingly arguing that modern LLMs can already reason through root cause analysis once given correctly prepared context, shifting t…