Java developers and performance engineers: overcome the challenges of analyzing and optimizing your cloud (public, private, or both) workloads.
Profiling Java workloads for the cloud can be challenging. Common reasons: they are generally long-running services, are launched by a scheduler/orchestrator using a headless user account, and/or must be profiled in a production environment because it’s hard to create a comparable test environment.
This session shows you how Intel® VTune™ Profiler can remove these obstacles, whether your applications are run in public, private, or hybrid cloud environments.
You will learn how to:
- Set up VTune Profiler for remote cloud profiling (i.e., VTune server vs remote collection)
- Profile your running Java process with minimal overhead
- Review VTune results to understand where performance can be improved and/or to find and fix bottlenecks
Bonus: Includes a demo of the VTune Flame Graph feature to detect hotspots and hot code paths in Java workloads.
To get the most from this session, you should have a basic understanding of JDK/JVM and how configurations can impact performance.
Sign up today.
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Get Intel® VTune Profiler standalone or as part of the Intel® oneAPI Base Toolkit— a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.

Cory Levels
Technical Consulting Engineer, Intel

Jennifer DiMatteo
Technical Consulting Engineer, Intel