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Solving Java performance issues in production can be frustrating. You’re left in the dark about what could be causing the problems because standard Java tools have too much performance overhead for ...
Solving Java performance issues in production can be frustrating. You’re left in the dark about what could be causing the problems because standard Java tools have too much performance overhead for production use. They’re designed for development or pre-production testing and realistically can’t be used to monitor a business-critical application during peak loads, which is when the problems occur!
Zing Vision is your flashlight. Its low overhead metric collection is built into Zing, Azul’s high performance virtual machine, and designed to run in production with zero performance overhead. At last, you can see your applications’ operation at the thread level, track memory usage, find “hot” code and even save data for later analysis. In this webinar, Joseph Coha, Azul Systems Senior Staff Engineer, describes how Zing Vision works, shows sample data and discusses how you can use this information to find and fix your most stubborn production performance issues. He also tells you how you can download and try Zing and Zing Vision with your current applications to see for yourself how far you can take the performance of your existing apps.