Application Metrics

Application metrics help you identify, investigate, and diagnose issues. Metrics provides key attributes of app health including response time, throughput, errors, dyno load, and memory, unified on a single time axis so you can see correlations. Accessible via the Heroku Dashboard, Application Metrics are available on all paid dynos. Learn more →

Threshold Alerting

Threshold Alerting lets you specify limits on web dyno 95th percentile response time and the percentage of failed requests, above which an alert will be triggered. Email, PagerDuty, and dashboard notifications are supported. Threshold Alerting is available to apps running on Professional or Private dynos. Learn more →


Autoscaling horizontally scales your app’s web dynos to meet your specified 95th percentile response time threshold, based on your existing throughput. With autoscaling there’s no need to anticipate your traffic spikes. Autoscaling is included for free on Performance and Private dynos. Learn more →

Consolidated Logs

Tail and view the logs for your application within the Dashboard or via the command line interface (CLI) to gain more in-depth details about events and errors. Drain your logs using one of the many logging add-on providers in the Elements marketplace for long-term storage, search, filtering and troubleshooting. Learn more →

App webhooks

App webhooks allow you to subscribe to events and receive notifications when changes are made to your Heroku app. Webhooks make it easy to integrate changes like dyno formation changes or app releases into your operational workflow. Learn more →

Heroku Exec

Heroku Exec allows you to connect to a dyno at runtime via SSH to make debugging easier. With Exec you can copy files off of a dyno, attach a remote debugger via local port forwarding, and take advantage of common Java debugging tools. Learn more →

Runtime Metrics

Language Runtime Metrics display key language-specific performance metrics, like heap and non-heap memory and garbage collection activity, to gain insights into the root cause of application performance problems. Learn more →

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Visibility Into App Health

With up to 7-day metrics retention, Application Metrics helps you view trends and quickly identify anomalies in application health. Language Runtime Metrics and Exec provide further insights to help pinpoint the root cause of performance bottlenecks.

Proactive Notifications

We watch your app, so you don’t have to. Heroku sends notifications if the response time or error rate for your web dynos exceeds your criteria. Webhook notifications make it easy to integrate changes to your apps into a custom workflow.

Effortless Scaling

No need to keep an eye on your traffic spikes anymore, we automatically adjust the number of web dynos to meet your specified latency threshold.

Performance Tuning Guidance

With features like language-specific Application Guidance, we help you identify and correct application problems.

No Additional Cost

Metrics are available for Hobby dynos and above at no additional cost. Advanced features are unlocked as you move to higher level dynos.

Easy Debugging

With Language Runtime Metrics you can easily diagnose when your app is leaking memory. Then use Heroku Exec to find the root cause by connecting directly to a dyno at runtime.

  • Anything we can do on Heroku, we will do, because it simplifies operations so much.

    LendUp Jake Rosenberg CTO, LendUp Read customer story →
  • We trust Heroku’s Autoscaling to handle traffic spikes, so we don’t have to worry about monitoring our apps and managing scale.

    Alpine Lab Michael Baudino Founder, Alpine Lab
  • The Heroku platform suits our remote team’s work style. Anyone on the team can easily manage or monitor our apps asynchronously, and automated features mean that nothing gets hung up while some team members are offline.

    Calorie Cloud Troy Hickerson Co-founder, Active for Good Read customer story →


A streamlined approach to application operations, and how Heroku built autoscaling

Listen to our podcast with Software Engineering Daily from February 28th, 2017.

In this podcast Andrew Gwozdziewycz, Heroku operational experience engineer, talks about the importance of application health, Heroku's metrics platform architecture and how it laid the foundation for autoscaling.