Is Heroku Down? Current Status, Outage Reports & User Feedback
Operational Last checked: 7 minutes ago
User Reports (Last 12 Hours)
Quick Actions
Incident History
Resolved Incidents
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
We have detected a potential outage for Heroku.
Started:
Resolved:
Frequently Asked Questions
Deployment failures may be caused by build errors, Git issues, or platform disruptions. Check your build logs for specific error messages, verify your application meets Heroku's requirements, and examine if the issue is specific to certain deployment methods (Git push, GitHub integration, container registry).
These error codes indicate application crashes (H10), backend timeouts (H11), or request timeouts (H12) that may be caused by code issues or resource constraints. Check your application logs for crash information, verify your dyno has sufficient memory, and consider scaling resources if your application is experiencing high traffic.
Access issues may result from authentication problems, account status, or platform disruptions. Verify your credentials are correct, check if your account requires multi-factor authentication, and try accessing Heroku through alternative means (CLI vs. dashboard) to isolate the issue.
Database connectivity issues can be caused by connection limits, credential problems, or add-on disruptions. Check your connection string configuration, verify you haven't exceeded connection limits, and examine database logs for any specific error messages that might explain the failures.
Memory issues typically indicate your application is exceeding the allocated memory limits of your dyno. Review your application for memory leaks, consider optimizing resource usage, or upgrade to a larger dyno size to provide more memory for your application.
Scheduler issues can result from configuration problems, resource constraints, or platform disruptions. Check your scheduler logs for error messages, verify your job commands are correct, and examine if the issue affects all scheduled jobs or just specific ones.
Performance issues may be caused by resource constraints, database bottlenecks, or platform problems. Check your application metrics in the Heroku dashboard, look for slow queries in database logs, and consider implementing performance monitoring to identify specific bottlenecks.
Build pack failures can stem from compatibility issues, dependency problems, or platform disruptions. Check your build logs for specific error messages, verify your application is compatible with the selected build packs, and try using official Heroku build packs if you're using third-party ones.
About Heroku
Heroku is a cloud platform as a service (PaaS) that enables developers to build, run, and scale applications without managing underlying infrastructure. The platform supports multiple programming languages including Ruby, Node.js, Python, Java, and PHP, while providing integrated data services, continuous integration/continuous deployment pipelines, and application management tools through a streamlined developer experience focused on code rather than configuration.
Individual developers use Heroku for personal projects, prototypes, and portfolio applications, taking advantage of its free tier and simplified deployment process through Git integration. Startups implement Heroku to quickly launch and iterate on products without dedicated DevOps resources, leveraging add-ons for databases, monitoring, and other essential services. Development teams at larger organizations utilize Heroku's team collaboration features, review apps, and pipelines to streamline their workflow from development to staging to production environments, while agencies value the platform's ability to maintain multiple client applications with consistent management interfaces.
Users may encounter various types of issues when using Heroku, including temporary build delays during periods of high platform usage, occasional routing layer transitions causing brief request interruptions, or dyno restarts affecting long-running processes. Database connection limitations might be reached during traffic spikes, requiring connection pool optimization. Add-on service integration might experience brief unavailability during their respective maintenance windows, while application logs might occasionally have collection delays during high-volume logging events. During Heroku platform maintenance, users might notice slightly increased latency for management operations, dashboard updates, or metric reporting. Deployments with exceptionally large dependency trees might experience longer build times or occasional timeouts requiring optimization of the build process.