SigNoz released a guide for instrumenting Apache Tomcat with OpenTelemetry to send traces to its observability platform. The guide covers setup via setenv.sh on Linux/Windows, Docker, and Kubernetes, …
MemoryOps AI launched an open-source governed memory infrastructure for AI assistants, implementing a ChatGPT-style memory lifecycle with policy enforcement, typed storage, hybrid retrieval, and audit…
A developer released state-harness, an open-source Python library that uses Lyapunov stability theory to detect and classify failure patterns in multi-turn LLM agents without extra LLM calls. The tool…
CortexOps and Langfuse are both open-source AI observability platforms, but they differ in focus: Langfuse traces LLM calls for prompt engineering and cost monitoring, while CortexOps traces full agen…
An analysis of Claude Code v2.1.143 reveals that the AI coding assistant sends telemetry metrics to Anthropic every five minutes via HTTP POST, with data including API usage, OAuth events, and system …
A developer created ax-go, a Go package that standardizes agentic experience for CLI tools by encoding conventions such as OpenTelemetry trace propagation, structured errors, and JSON output for agent…
Vercel launched eve, an open-source agent framework where each agent is a directory of files, validating the thesis behind the competing Dawn framework. The two frameworks share core design principles…
OpenTelemetry's graduation to stable status within the CNCF provides a standardized observability framework for production LLM pipelines, addressing challenges in tracing inference requests across vec…
OpenTelemetry GenAI semantic conventions have stabilized for LLM client spans as of early 2026, enabling developers to trace individual model calls, token usage, and agent tool interactions in product…
Pydantic has launched a new Metrics Explorer for its Logfire observability platform, designed to help developers quickly find and analyze performance metrics without writing PromQL. The tool uses a th…
Amazon SageMaker AI now emits over 100 detailed inference metrics and provides a built-in Insights dashboard in Amazon CloudWatch, enabling teams to monitor and debug generative AI inference endpoints…
A developer evaluated six LLM observability tools—Langfuse, Helicone, Arize Phoenix, LangSmith, Braintrust, and Laminar—for their ability to monitor the audio layer in voice agents, not just LLM calls…
A developer's guide to AI Ops explains how to automate modern infrastructure using dynamic baselines, OpenTelemetry instrumentation, and LLM-driven root cause analysis. The approach reduces Mean Time …
Pydantic released a new Hosts view for its Logfire observability platform that correlates host-level metrics (CPU, memory, disk I/O) with trace data in a single interface, enabling developers to diagn…
Pydantic Logfire launched a new Kubernetes cluster view that surfaces pod restart loops, memory limits, and rollout failures from a single page. The feature uses standard OpenTelemetry receivers to ag…
SigNoz released a guide for instrumenting JBoss EAP and WildFly application servers with OpenTelemetry to send traces to its observability platform. The guide covers manual configuration via JVM optio…
SigNoz released a guide on using the OpenTelemetry Datadog Receiver to receive metrics from Datadog Agents without modifying applications, enabling gradual migration to OpenTelemetry. The receiver act…
SigNoz released a guide for instrumenting Java and Spring Boot applications with OpenTelemetry to send traces to its observability platform. The guide covers automatic instrumentation via the OpenTele…
ClickHouse, the open-source database, has built a thriving ecosystem around open standards including OpenTelemetry for observability, the Model Context Protocol for AI agents, and open table formats l…
A developer argues that traditional distributed tracing tools fail for LLM-based multi-agent systems because they capture infrastructure events but not message-level communication between agents. The …