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. Application Metrics docs →

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. Threshold Alerting docs →


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. Autoscaling docs →

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. Heroku logging docs →

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. App webhooks docs →

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. Heroku Exec docs →

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. Runtime Metrics docs →

Discover Heroku OpEx
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.

“Heroku is our ‘ops team.’ Compared to hiring DevOps and owning all the infrastructure responsibility, Heroku just makes it so much easier.”

Director of Engineering, Everlane
Everlane’s story →

“As soon as the test starts and system demand is high, Heroku allows us to closely monitor app performance and scale up our dynos on the fly as needed.”

Software Development Team Lead, Altus Assessments
Altus Assessments’ story →

“Heroku makes it easy to manage app operations. As the app grows and Sugarmate needs to scale, I know that we’re in good hands. That’s why I intend on using Heroku for the long-haul.”

Founder, Sugarmate
Sugarmate’s 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.