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31 posts tagged #observability
Browse 31 posts tagged Observability. Setup notes, reviews, comparisons, and workflow patterns.
Sentry is developer-first error tracking and performance monitoring, active since 2010 with 45,038 stars. Python primary, license reported as NOASSERTION.
Sentrial monitors AI agent sessions, automatically detects failures, diagnoses root causes with AI, and generates code fixes via GitHub integration.
Dash0 is a developer-friendly observability platform built natively on OpenTelemetry. It ingests logs, metrics, and traces via OTLP with no proprietary agents, PromQL support, and transparent cost
Relvy automates on-call runbooks for engineering teams. An AI agent with specialized telemetry tools analyzes logs, traces, and time-series data to help debug production issues faster.
Obics connects to your observability platform and source repo, identifies redundant telemetry, estimates your savings, and opens PRs to fix the root cause in your code.
Parseable Prism is an open source observability platform that unifies logs, metrics, traces and events in a single Rust-built data lake. This guide covers setup, key features and how it compares to
Open-source platform combining LLM gateway, observability, evaluation, and optimization. Sub-ms latency, unified API for 20+ providers. Apache 2.0.
Spikelog is a dead-simple metrics service: POST a number, get a chart. No agents, no dashboards to configure, no retention settings.
AgentLens is an open-source, self-hosted observability platform for AI agents. It records every tool call, lets you replay failures step-by-step, and uses AI to diagnose root causes.
Sonarly connects to Sentry, Datadog, and Slack to triage alerts, identify root causes, and trigger AI fixes — cutting a 180-alert daily firehose down to 5 actionable issues.
OpenTrace connects Claude Code and Cursor directly to your production observability data via MCP. Self-hosted, no Elasticsearch, runs on a $4/month VPS.
A lightweight observability tool that wraps your existing LLM calls and surfaces traces, token costs, latency, and errors in a single dashboard.
Open-source observability for MCP servers. TypeScript and Python SDKs plus a CLI, with real-time tracing, per-tool latency breakdown, and alerting.
Steadwing is an autonomous on-call engineer that diagnoses root cause in under 5 minutes and delivers actionable RCA reports with real remediation steps.
Open-source AI agent monitoring platform. Full observability into what is failing in production, issue detection, semantic search, and eval alignment tracking.
Open-source MCP server that scores AI agent output quality, catches safety failures like PII leaks, and enforces cost budgets across traces.
OpenTrace is a self-hosted observability server that connects AI coding agents directly to production logs and errors via MCP — no dashboards, no copy-paste.
Sentrial is a YC W26 observability platform that detects silent regressions across AI agent sessions, tool calls, and LLM interactions before end users notice.
YC-backed endpoint security for AI coding agents. Monitors Cursor and Claude Code at OS level with eBPF and ESF. Tracks file access, network, and processes independently.
Open-source observability platform using eBPF for zero-instrumentation monitoring. AI-powered RCA, distributed tracing, and SLO alerting with 80% faster MTTR.
Wild Moose is an AI-first responder that codifies your team's debugging practices into autonomous agents, cutting MTTR by 80% with evidence-backed root cause analysis.
Sentrial monitors your AI agents in production and catches failures, errors, and unexpected behaviors before they reach your users. Built for LLM-based systems.
Superlog is a YC P26 MCP-native observability agent that auto-instruments your repo with OpenTelemetry and opens tested PRs to fix incidents in Slack.
Wild Moose is an AI SRE agent that investigates production alerts, correlates logs, metrics, and traces, and surfaces root causes in under a minute.
Sonarly (YC W26) deduplicates noisy Sentry and Datadog alerts, runs root-cause analysis, and ships fix pull requests through Claude Code instead of paging on-call.
Future AGI is a self-hostable platform for evaluating, observing, and improving LLM apps. Includes tracing, evals, simulation, datasets, an AI gateway, and.
HyperDX is an open source observability platform that unifies session replays, logs, traces, metrics, and errors in one place — at a fraction of the cost of.
Trace, debug, and evaluate AI agents in production with Lucidic's observability platform — one-line init, graph visualizations, and time-travel debugging.
Sentrial monitors AI agents in production, detecting loops, hallucinations, and tool misuse the moment they happen. Here's how it works and how to set it up.
Voker is an agent analytics platform that gives engineering teams structured visibility into how their AI agents behave, perform, and cost — without digging.
YC W26-backed AI agent observability platform. Trace sessions, detect silent regressions, and A/B test prompts in production before failures reach users.