Error tracking &
performance insights
for Ruby
AppSignal solves all your Ruby monitoring needs in a single tool. You and your team can focus on writing code and we'll provide the alerts if your app has any issues.
Monitor the crap out of your app.
AppSignal is an easy to use tool for developers and their teams. We provide insights to keep your app running smoothly, develop & ship with more confidence and improve the performance of your application.
Catch nasty errors
Catch every exception in your app, without exception. Dive deep into errors and smash the bugs that plague your app.
Find performance issues
Know when your app is slow and why it’s lagging. Spot trends with easy-to-use graphs and inspect details of slow requests.
Find which events are slow
Use the stacked graphs to discover which events slow you down. Easily identify slow queries, controllers, views or API calls.
Find underperforming background jobs
Track errors, performance issues and queue times for Resque, Sidekiq and Delayed Job. No additional configuration necessary!
Get a whole lot of insights.
If you want to write and ship code with confidence, you need to know what's going on. This is why AppSignal is jam-packed with features that bring you deep insights into your tool. And new insights are being added all the time.
Frameworks we monitor
- Ruby on Rails
- Sinatra
- Grape
- Rack
- Create your own integration!
Background processors
- Delayed job
- Sidekiq
- Resque
- Custom background processes
Performance insights
- Response times (mean, 90th percentile)
- Breakdowns per deploy
- Queue times
- Stacked graphs (event groups)
- Memory allocations
- Event tree
- Meta information
- Custom instrumentation
Error tracking
- Error rate
- Breakdowns per deploy
- Open / close
- Send to issue tracker
- Error message, parameters, session data
- Backtrace
- Environment information
- Link to the commits for this deploy
Inspect slow events
- Event groups overview
- Response times & throughput graphs
- Impact on the system
- Actions affected by slow events
Custom metrics
- Push any type of data
- Create your own tabs & graphs
- Combine data in graphs
- Easy YAML configuration
Hosts
- Mean, 90th percentile, throughput
- Error rate
- Namespace overview
- Graphs per host
- Queue times (mean, 90th percentile)
Deploy tracking
- Revision hash
- Deployed by user
- Live for
- Total # of errors
- Errors per hour
Front-end monitoring (beta)
- JavaScript errors
- Browser performance
- Global performance
Monitoring billions of requests for:
Read our WeTransfer case study to learn how we monitor up to 20B requests each month.