L
Listicler
AppSignal

AppSignal

Error tracking and performance monitoring that just works

Founded
2012
Starting Price
$0
Category
Developer Tools
Company Size
11-50 employees
Last updated August 17, 2026

About AppSignal

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.

Pros & Cons

Pros

  • Every monitoring feature is included on every paid plan - errors, performance, logs, hosts, uptime, check-ins, and dashboards are not gated behind higher tiers
  • Priced on request volume with unlimited users, teams, applications, and dashboards, so adding engineers costs nothing
  • No overage billing: monitoring keeps running past your plan limit and an upgrade conversation only starts after you exceed it in 2 out of 3 months
  • Deep first-party instrumentation for Ruby/Rails, Elixir/Phoenix, Node.js, Python, and frontend JavaScript rather than generic agents, with roughly a 2-minute install
  • EU-based (Amsterdam) and GDPR compliant, ISO 27001 certified, with optional US data residency and HIPAA compliance add-ons
  • MCP server pipes production errors, traces, and deploys into Claude, Cursor, or Zed so AI assistants can draft fixes against real data
  • Permanent free plan with 50K requests and 1GB of logging, and free extended limits for open-source and humanitarian projects
  • Support is handled by AppSignal's own engineers, which reviewers consistently rate as a standout (10.0 quality-of-support score on G2)

Cons

  • First-party agents cover only Ruby, Elixir, Node.js, JavaScript, and Python - Go, Java, PHP, and Rust are supported through OpenTelemetry rather than purpose-built integrations
  • No mobile application monitoring for native iOS or Android apps
  • The integration catalogue is far smaller than Datadog's or New Relic's, so it is a weaker fit for teams monitoring broad infrastructure beyond their application code
  • Logging beyond 1GB/month is a paid add-on, and long-term log storage and HIPAA compliance each cost an extra $89-99/month on top of the plan
  • Request-volume pricing can be hard to forecast for chatty APIs or high-throughput services, where costs climb faster than for user-count pricing
  • Distributed tracing is still labelled beta, so teams needing mature end-to-end tracing across many microservices may find it thin
  • AppSignal is a roughly 25-person bootstrapped company, which means a smaller support and roadmap surface than the large enterprise APM vendors
  • The interface can feel dense once every monitoring option is enabled at the same time

Key Features

Error tracking

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.

Performance monitoring

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.

Log management

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.

Trace-linked logs and log-based alerts

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.

Distributed tracing (beta)

Traces requests end-to-end across services to show which call or hop is the bottleneck. Still marked BETA on the platform.

Host monitoring

Server-level metrics including CPU usage, disk I/O and usage, load average, memory and network usage, with side-by-side host comparison.

Uptime monitoring and status pages

HTTP/HTTPS uptime checks pinged from four locations, with downtime alerts, uptime metrics, and a free public status page.

Check-ins for cron jobs and background processes

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.

Metric dashboards and custom metrics

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.

Anomaly detection and alerting

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.

MCP server and AI coding integrations

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.

Deploy tracking

Every deploy is marked, timestamped, and correlated with errors and performance changes so you can identify which release broke production.

Pricing

Free
$0/month
  • 50K requests/month
  • 1GB logging/month
  • 5-day retention
  • Unlimited users, teams, applications, and dashboards
  • No credit card required
  • Extended limits available free for open-source and humanitarian projects
Paid - 250K requests
$25/month
  • 250K requests/month
  • $279/year (about $23.25/month) if billed annually
  • All monitoring features: errors, performance, tracing, hosts, uptime, check-ins, dashboards
  • 1GB logging/month included free
  • Unlimited users, teams, applications, and dashboards
  • 30-day full-featured free trial
Paid - 1M requests
$399/year
  • 1M requests/month
  • About $33.25/month effective when billed annually
  • All monitoring features included
  • 1GB logging/month included free
  • Unlimited users, teams, and applications
Paid - 3M requests
$709/year
  • 3M requests/month
  • About $59.08/month effective when billed annually
  • All monitoring features included
  • Unlimited users, teams, and applications
Paid - 10M requests
$1,669/year
  • 10M requests/month
  • About $139.08/month effective when billed annually
  • All monitoring features included
  • Unlimited users, teams, and applications
Paid - 75M requests
$4,789/year
  • 75M requests/month (top of the public pricing slider)
  • About $399.08/month effective when billed annually
  • Intermediate steps available at 15M ($2,189/yr), 20M ($2,499/yr), 25M ($2,869/yr), and 50M ($3,709/yr)
  • All monitoring features included
  • Contact sales for higher volumes
Add-ons
$89/month
  • Long-term log storage to S3-compatible storage: $89/month billed annually, $99/month billed monthly
  • HIPAA compliance: $89/month billed annually, $99/month billed monthly
  • Extra logging beyond the free 1GB/month: $109/year per additional 10GB/month (10GB $109/yr, 20GB $218/yr, 30GB $327/yr, 40GB $436/yr)
  • Enterprise SAML SSO and US data hosting available as business features
  • GitHub login is always free

Best For

Consolidating a multi-vendor monitoring stack

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.

Rails and Phoenix teams that want framework-aware monitoring

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.

Small engineering teams priced out of per-seat APM

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.

AI-assisted production debugging

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.

Monitoring under EU data and healthcare compliance constraints

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.

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