Inkeep, an AI agent framework provider, integrated SigNoz for observability to give developers visibility into agent execution flows. The framework uses SigNoz's REST-based Trace API to enable program…
HashiCorp's HCP Vault Dedicated now streams audit logs to SigNoz via a Generic HTTP Sink, enabling centralized observability for Vault audit events. The integration requires an Essentials or Standard …
SigNoz and OpenTelemetry have been integrated to provide observability for Claude Code, an AI coding assistant, enabling teams to monitor token usage, costs, performance, and user behavior. The pipeli…
SigNoz, Langfuse, and Arize Phoenix lead the top LLM observability tools in 2026, offering capabilities such as full-stack monitoring, agent workflow debugging, and drift detection. The tools converge…
A new roundup of 11 Kubernetes monitoring tools for 2026 highlights open-source options like SigNoz, Prometheus, and Grafana alongside managed solutions such as Datadog and New Relic. The guide compar…
Model monitoring in ML production ensures models remain reliable and precise over time by tracking data quality, performance metrics, drift, and resource utilization. This guide covers key components …
Apache Tomcat performance monitoring can be enhanced using OpenTelemetry, which provides a vendor-neutral pipeline for collecting traces, metrics, and logs. The OpenTelemetry Java agent attaches to To…
Semantic Kernel now supports observability via OpenTelemetry, enabling monitoring of AI orchestration with logs, traces, and metrics exported to SigNoz. The integration provides real-time visibility i…
Pydantic AI has introduced observability and monitoring for its AI agents using OpenTelemetry, enabling users to export logs, traces, and metrics to SigNoz for real-time visibility into latency, error…
Newer Claude models use more tokens but cost less per task solved, according to an instrumented evaluation of Claude Code on 10 Terminal-Bench tasks. The analysis found that while token usage increase…
SigNoz announced a new AI-powered feature that compiles postmortem evidence packs from alerts, metrics, logs, and traces via an MCP server integration, enabling engineers to reconstruct incident timel…
SigNoz launched a new feature enabling users to create dashboards from natural language prompts via an AI assistant connected through the MCP server. The tool automatically verifies service data, retr…
SigNoz users can now create incident-specific dashboards via natural language prompts using an AI assistant connected through the MCP server. In a demonstration, a user asked for a checkout service in…
SigNoz launched Noz, an AI teammate integrated into its observability platform, allowing users to ask questions about telemetry, build alerts, and create dashboards using natural language. Noz is in b…
SigNoz released a self-host guide for installing its open-source observability platform on Docker standalone using Docker Compose. The guide walks users through installing foundryctl, creating a casti…
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, …
SigNoz released a guide for sending custom and JVM runtime metrics from Java applications to its observability platform using the OpenTelemetry Java agent, enabling developers to monitor application p…
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…