Heroku monitoring

Optimize your Heroku applications with Atatus! Effortlessly track performance in real-time, identify bottlenecks, and resolve issues with precision. Enhance user satisfaction and app stability with actionable insights designed to elevate your Heroku app experience.

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Streamlined Heroku Performance Monitoring

  • Monitor Heroku applications with live metrics on response times, dyno performance, and error rates.
  • Pinpoint inefficiencies by tracing issues to specific code segments or database queries.
  • Follow every request through your app to uncover bottlenecks and latency sources.
  • Use historical data to detect patterns and prepare for peak usage.
Streamlined Heroku Performance Monitoring

Actionable Visibility into Application Logs

  • Gather Heroku logs across all dynos and services into a single view for easy analysis.
  • Identify recurring errors and anomalies in logs to prevent service interruptions.
  • Set triggers for specific log events, such as crashes or failed API requests.
  • Review past logs to diagnose intermittent issues and prepare for future scalability needs.
Actionable Visibility into Application Logs

Proactive Monitoring with Smart Alerts

  • Receive instant alerts for unexpected behavior or metric spikes.
  • Configure thresholds for key metrics like dyno memory, response times, or error rates.
  • Get alerts directly on Slack, PagerDuty, or email to act quickly.
  • Combine alerts with root cause data for faster issue resolution.
Alerting

FAQs for Heroku Monitoring

Can Atatus monitor specific worker dynos in Heroku?

Yes, Atatus allows you to monitor and distinguish between different types of dynos, including web and worker dynos. This ensures you can isolate performance metrics and identify issues specific to certain tasks.

How does Atatus handle the "request timeout" problem in Heroku?

Atatus tracks request processing times and identifies patterns leading to timeouts. With these insights, you can optimize slow processes, increase dyno capacity, or fine-tune configurations to avoid exceeding Heroku’s 30-second request timeout limit.

Can Atatus provide visibility into database performance in Heroku?

Yes, Atatus integrates with databases commonly used in Heroku apps (like PostgreSQL). It offers metrics on query execution times, slow queries, and database connection health to help you optimize backend performance.

How does Atatus monitor memory leaks in Heroku dynos?

Atatus tracks memory usage patterns and flags anomalies that indicate potential memory leaks. This enables you to identify and resolve memory inefficiencies before they lead to dyno crashes.

How does Atatus handle sudden traffic spikes in Heroku apps?

Atatus provides real-time alerts for traffic anomalies and tracks how your app handles spikes. It also helps assess if dyno scaling is adequate for maintaining performance under heavy loads.

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Atatus is a great product with great support. Super easy to integrate, it automatically hooks into everything. The support team and dev team were also very helpful in fixing a bug and updating the docs.
Tobias
Tobias L
Full Stack Engineer, ClearVoyage
Atatus is powerful, flexible, scalable, and has assisted countless times to identify issues in record time. With user identification, insight into XHR requests to name a few it is the monitoring tool we choose for our SPAs.
Jan Paul
Jan-Paul B
Chief Executive Officer, iSavta
Atatus continues to deliver useful features based on customer feedback. Atatus support team has been responsive and gave visibility into their timeline of requested features.
Daniel
Daniel G
Software Engineer, MYND Management

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