InfoQ Homepage Monitoring Content on InfoQ
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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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Eliya 25 Brings a JVM-Level Diagnostic Profile to OpenJDK 25 LTS
Asymm Systems has released Eliya 25.0.3, an OpenJDK 25 LTS distribution aimed at improving production diagnostics in Java environments. It consolidates several HotSpot features into an opt-in Production profile. Eliya is designed for teams needing reliable diagnostic data, especially in regulated settings. Future enhancements are planned for Phase 2.
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How LinkedIn Identified a Kernel Lock Contention Issue Causing Recurring System Freezes
When LinkedIn engineers encountered short-lived, recurring outages where the database powering their user feed became unavailable and then recovered without leaving helpful traces, they had to devise a novel approach to uncover the root cause using off-CPU profiling with eBPF.
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Grafana's Kubernetes Monitoring Helm Chart v4 Brings Multiple Fixes
Grafana Labs has released version 4 of its Kubernetes Monitoring Helm chart, describing it as the most significant update the chart has received since its introduction. The release, announced in April 2026 by Pete Wall and Beverly Buchanan, addresses a range of configuration problems that had accumulated as users scaled to larger and more complex deployments.
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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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Airbnb Rebuilt Alert Development after Discovering it Wasn’t a Culture Problem
Airbnb has revealed how it significantly improved its observability practices by rethinking how alerts are developed and validated, concluding that what appeared to be a "culture problem" was actually a tooling and workflow gap.
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Google Cloud Brings Full OpenTelemetry Support to Cloud Monitoring Metrics
Google Cloud recently unveiled broad support for the OpenTelemetry Protocol (OTLP) in Cloud Monitoring, marking a step toward unifying telemetry collection across its observability stack.
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Quesma Releases OTelBench to Evaluate OpenTelemetry Infrastructure and AI Performance
Quesma has launched OTelBench, an open-source suite to benchmark OpenTelemetry pipelines and AI-driven instrumentation. It evaluates collector performance under stress while testing how accurately LLMs handle complex SRE tasks like context propagation. Initial data shows AI agents often achieve success rates below 30%, highlighting the gap between code generation and production observability.
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What Testers Can Do to Ensure Software Security
A secure software development life cycle means baking security into plan, design, build, test, and maintenance, rather than sprinkling it on at the end, Sara Martinez said in her talk Ensuring Software Security. Testers aren’t bug finders but early defenders, building security and quality in from the first sprint. Culture first, automation second, continuous testing and monitoring all the way.
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Inside Uber’s Query Architecture: Simplifying Layers and Improving Observability
Uber rebuilt its Apache Pinot query architecture, replacing the Presto-based Neutrino system with a lightweight proxy called Cellar and Pinot’s Multi-Stage Engine Lite Mode. The redesign simplifies SQL execution, improves resource management, and ensures predictable performance for large-scale analytics workloads.
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Datadog Launches Monocle, a Unified Rust-Powered Real-Time Metrics Engine
Datadog has launched Monocle, a new real-time time series storage engine written in Rust. The system unifies the company’s metrics storage infrastructure, delivering higher ingestion throughput and lower query latency while reducing operational complexity. Monocle replaces several generations of storage backends, addressing concurrency challenges and scaling limits that accumulated over time.
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Improved Application Insights Code Optimizations Identify .NET Performance Bottlenecks Automatically
Microsoft is expanding .NET developers’ toolset with enhancements to Code Optimizations. This feature is part of Azure Monitor offering and now works with the .NET Profiler in Application Insights to automatically detect CPU, memory, and threading issues in production apps and give code‑level recommendations to fix them.
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Honeycomb Hosted MCP Brings Observability Data into the IDE
Honeycomb has launched its hosted Model Context Protocol (MCP), giving developers real-time access to observability data inside IDEs and AI tools like GitHub Copilot. Available as a managed service on AWS Marketplace, it removes the need for self-hosting and streamlines debugging by surfacing traces, metrics, and logs without context-switching.
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Grafana 12.1 Brings Built-in Diagnostics and Enhanced Alerting
Grafana 12.1 is here, elevating system reliability and alert management with features like Grafana Advisor for health checks, a revamped alerting interface, and trendline transformations for smarter data visualization. Enhanced dashboard interactivity and improved variable handling empower teams to scale efficiently. Experience the new era of Grafana on Cloud or self-hosted!
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Microsoft Azure Enhances Observability with OpenTelemetry Support for Logic Apps and Functions
Microsoft has expanded OpenTelemetry support in Azure Logic Apps and Functions, enhancing observability and interoperability across platforms. This open-source framework enables seamless data generation and correlation, enhancing diagnostics beyond standard telemetry. With streamlined configuration and integration, Azure's offerings aim for standardized observability across cloud services.