Autonomous, workload optimization for Kubernetes and containerized environments
How it works
Granulate’s real-time continuous optimization is a new approach to optimizing production workloads by leveraging resource usage patterns and dataflow to automatically adapt runtime level resource management to better fit the application needs.
Granulate automatically learns the application’s specific resource usage patterns and data flow to identify contended resources, bottlenecks, and prioritization opportunities. Granulate then tailors OS-level scheduling and prioritization decisions to improve the infrastructure’s application-specific performance, enabling significant cost reduction.
Automated full stack optimization for containers and pods
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From our customers
Take the next step with gProfiler
gProfiler is a free, open source, continuous profiler for production environments. It enables developers and engineering teams to leverage cluster-wide profiling to investigate performance with minimal overhead. By continuously analyzing code performance across your entire environment, you can optimize the most resource-consuming parts of your code, improve application performance, and leverage these improvements to reduce cluster size and infrastructure costs.
To learn more and to start free profiling, visit: gProfiler.io