Webinar Sept 24: Heroku to AWS in one command, with an agent doing the work.

All the observability you need to act

Logs, metrics and alerts in the same place you deploy, without setting up an observability stack

Qovery Observe interface

Trusted by +200 companies to simplify their infrastructure burden

GetsafeSpikoCharles.coRentalReadyHyperlineThe Mobile First CompanyTalkspaceAlanPowensProsperity
Qovery service metrics showing pod memory, CPU and instance health over time

All the metrics that matter, out of the box

CPU, memory, network, request latency, error rates and database performance, tracked per service with no setup. Qovery and Kubernetes events are plotted on the same graphs, so you see the deployment or the scaling event that caused a change instead of guessing.

  • CPU, memory and network usage
  • Database performance on managed MySQL and PostgreSQL
  • Deployments, scaling and failures shown directly on the graphs
  • Real-time and historical data, per service
Qovery alert notification delivered in Slack with links to monitoring and logs

Alerts that tell you when something's wrong

Create your own alert rules on any metric, then manage every rule and active issue from a dedicated alerting view. Notifications land in Slack or by email, so nobody has to watch a dashboard.

  • Custom alert rules per service
  • Slack and email notifications
  • One unified view to manager your alerts and issues
Qovery service logs with search, instances and highlighted log levels

Search your logs without leaving Qovery

Follow logs live or go back through 12 weeks of history, and filter by level, instance or deployment to find what you need. Errors are flagged automatically.

  • Live streaming and historical search
  • Filters by level, instance, deployment or source
  • Automatic error detection
  • 12 weeks of retention, in your own cloud
During the production migration, we were able to observe that traffic hits the new infrastructure on Qovery, that services properly scale up and down and even verify network error rates. This made the migration very smooth and successful.

Peter Adam

Technical Lead manager at Prosperity Solutions AG

All-in observability package

All the best deployment practices, included from the start

Service metrics

CPU, memory, network, request latency and error rates.

Database metrics

Managed MySQL and PostgreSQL performance, on AWS.

Events on your graphs

Deployments, scaling and failures plotted alongside your metrics.

Live and historical logs

Stream logs as they come in or go back through 12 weeks of history.

Log filtering

Narrow by level, instance, deployment or source, with errors flagged automatically.

Alerting

Custom rules on any metric, with Slack and email notifications, and one view for every rule and active issue.

Ready to build the future of your infrastructure?