grav
A collection of performance visualization tools for analyzing process execution, scheduler behavior, CPU tenancy, and JVM heap allocations.
What is grav?
Grav is a collection of performance visualization tools for Linux systems that helps analyze process execution, CPU scheduling, and JVM memory allocation. It generates visual reports like scheduler profiles, CPU tenancy charts, and flame graphs to identify performance bottlenecks and optimization opportunities. The tools integrate with existing Linux performance monitoring infrastructure like perf and BCC.
Performance engineers, DevOps professionals, and Java developers working on Linux systems who need to diagnose low-level performance issues, scheduler behavior, or JVM memory allocation patterns.
Grav provides ready-to-use scripts that simplify the generation of advanced performance visualizations without requiring deep expertise in Linux profiling tools. Its focus on visualization makes complex performance data more accessible and actionable compared to raw metric collection.
Overview
Performance visualisation tools
Use Cases
Best For
- Identifying kernel scheduler pre-emption issues in multi-threaded applications
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