By allowing to resolve issues faster than before, Rookout significantly eases the transition from a Java Monolith to Kubernetes
Adding non-breaking breakpoints on the fly drastically cuts down troubleshooting-related dead time.
Accelerating identification of root causes makes solving code issues faster and easier.
With non-breaking breakpoints set in the context of a Sentry bug tracking session, Playday devs can see the current state of their app, discover issues with ease and no friction, and fix them faster.
A look into how Rookout helped OptimalQ empower their engineers and lower their debugging time.
In this video, we'll dive into Rookout's architecture so that you can understand more about how Rookout works.
Learn how to set up and configure an external system that Rookout can integrate with to send application snapshot data.
Learn how to configure a project in Rookout to logically group source code depositories for the application you want to debug and collaborate with other devs on your team.
Learn how to configure a non-breaking breakpoint that has a set amount of time or a specific number of hits before it's disabled.
In this video, you'll learn how to debug an application that has multiple services, including microservices and serverless components. And you'll do it all from a single interface within Rookout.
How to overcome ‘Logging FOMO’
Java Application Server Debugging
Optimize Debugging From Monolith to Distributed Environments
Understandability: the most important metric you’re not tracking
Debugging Kubernetes Applications on the Fly
How to overcome 'Logging FOMO'