Temporal AI Agents Dashboard
SigNoz released a Temporal AI Agents Dashboard for monitoring AI agent workloads on Temporal, tracking LLM usage, agent performance, application health, and Temporal Cloud infrastructure metrics. The …
SigNoz released a Temporal AI Agents Dashboard for monitoring AI agent workloads on Temporal, tracking LLM usage, agent performance, application health, and Temporal Cloud infrastructure metrics. The …
SigNoz released a new dashboard for monitoring Vercel AI SDK performance using OpenTelemetry metrics, tracking token usage, latency, throughput, and model distribution. The dashboard, which requires S…
SigNoz released a new Pydantic AI dashboard that monitors token consumption, error rates, request volumes, latency, model distribution, and service adoption, using OpenTelemetry and the V2 dashboard s…
Senior Software Engineer Kathleen Xue at Shaped, a Y Combinator-backed API company, fixed a year-old latency bug in a single Claude session by using the SigNoz MCP server to analyze traces and code to…
Open WebUI released a new dashboard that monitors the performance, cost, and reliability of its deployment using OpenTelemetry trace and log data, tracking application health, database queries, and LL…
A new DSPy Dashboard monitors performance, cost, and reliability of DSPy programs using OpenTelemetry trace data, tracking span kinds CHAIN, LLM, and TOOL across model usage, latency percentiles, modu…
SigNoz announced support for monitoring DSPy programs via OpenTelemetry, enabling real-time visibility into DSPy module calls and language model requests. The integration uses the OpenInference DSPy i…
Datadog's modular pricing model, with over 40 separately metered products, routinely causes invoices two to three times higher than initial estimates, according to an analysis of Datadog's official pr…
Cohere has released a no-code OpenTelemetry instrumentation package for monitoring its AI APIs, enabling developers to trace Chat, Embed, and Rerank requests end-to-end in SigNoz without modifying app…
SigNoz released a new dashboard for monitoring Cohere applications using OpenTelemetry trace data, providing metrics on request volume, errors, token consumption, latency, model usage, and request-typ…
SigNoz released a redesigned Dashboards V2 API with a new JSON/Terraform schema, partial PATCH updates, key-value tags, personal pins, and enhanced panel styling. The update, rolling out July 27, is b…
SigNoz released a new dashboard for monitoring Langflow applications using OpenTelemetry trace data, providing metrics on LLM token consumption, latency, model usage, agent activity, and errors to hel…
Langflow 1.10+ now includes built-in OpenTelemetry support for real-time observability of visual AI workflows. Users can export flow and LLM traces to SigNoz by running the official Docker image with …
SigNoz has released a Model Context Protocol (MCP) that lets engineers investigate logs and traces using natural language instead of manual queries. The tool automatically navigates to relevant servic…
LogicMonitor faces growing competition from alternatives like SigNoz, Datadog, and Dynatrace as organizations seek cost-effective, flexible monitoring solutions. SigNoz offers a free open-source optio…
SigNoz and OpenTelemetry enable distributed tracing in a Golang application with three microservices, using OpenTelemetry Go SDK for instrumentation and OTLP export to SigNoz for visualization. The op…
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 …
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 …
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…