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Error tracking and performance monitoring that just works
AppSignal is an all-in-one application performance monitoring (APM) platform that combines error tracking, performance monitoring, logging, host and uptime monitoring, cron check-ins, and custom dashboards in a single tool. It is built for backend developers, with first-party instrumentation for Ruby, Elixir, Node.js, Python, and frontend JavaScript, plus OpenTelemetry support for other languages. Pricing is based on request volume rather than per-seat, so every plan includes unlimited users, teams, applications, and dashboards.
Captures every exception with backtrace, occurrence history, and the deploy that shipped it. Errors are grouped so you see patterns instead of noise, and can be tagged with custom data, filtered, and pushed to your issue tracker.
Tracks response times, throughput, and slow endpoints from the first deploy, with duration breakdowns, event timelines, slow query and N+1 query detection, and memory leak detection.
Full-text search and attribute filtering across all logs with saved queries, live tail streaming from every service, source and hostname management, and customizable views. Included free up to 1GB/month, paid add-on beyond that.
Jump from an error straight to the exact log lines that led to it, with timestamps already correlated. Alerts can fire on any log pattern, error string, or warning spike.
Traces requests end-to-end across services to show which call or hop is the bottleneck. Still marked BETA on the platform.
Server-level metrics including CPU usage, disk I/O and usage, load average, memory and network usage, with side-by-side host comparison.
Teams running separate tools for errors, APM, and logs can replace three or four vendors with one subscription, since AppSignal bundles error tracking, performance monitoring, logging, host metrics, and uptime checks at a single price.
First-party integrations understand Active Record, Sidekiq, Puma, GraphQL, Phoenix, Ecto, and Oban, surfacing slow queries and N+1 problems in terms of the framework rather than generic spans.
Because billing is tied to request volume and users are unlimited, a 3 to 25 engineer team can put everyone in the monitoring tool without the seat costs that make Datadog or New Relic expensive at that size.
HTTP/HTTPS uptime checks pinged from four locations, with downtime alerts, uptime metrics, and a free public status page.
One-line configuration to monitor any recurring process or cron job, with failure alerts and occurrence-level insights when a job does not report in.
Dashboards build themselves from default templates, and you can send arbitrary metrics from your own code. Supports custom dashboards, fullscreen mode, and easy chart sharing.
Set alerts on any metric with warmup and cooldown periods, using many built-in defaults. Alerts route to Slack, email, and other destinations and can link to related dashboards.
An MCP server lets Claude, Cursor, or Zed query production errors, traces, and deploys directly, so an AI assistant can draft a fix or a pull request grounded in real production data.
Every deploy is marked, timestamped, and correlated with errors and performance changes so you can identify which release broke production.
The MCP server lets Claude, Cursor, or Zed pull the actual error, trace, and deploy from production, so the AI writes a fix grounded in real telemetry instead of guessing from a stack trace pasted into chat.
EU-hosted infrastructure with GDPR compliance and ISO 27001 certification, plus optional US data residency and a HIPAA compliance add-on, covers teams that cannot send telemetry to arbitrary regions.

Visual low-code builder for AI agents and RAG workflows