Improve Kubernetes performance at scale
3 Steps, one week for up to 45% cost and performance optimization
1. Install- 15 minutes
Get started in just 15 minutes with a single command line and no code changes
2. Evaluate - 1 week
Sit back and watch Intel Granulate autonomously learn the application and specific workload
03. Deploy - 15 minutes
Activate Intel Granulate and start experiencing performance improvements on chosen clusters.
Holistic container, pod
Intel Granulate automates Kubernetes optimization techniques across the cloud stack, with continuous performance improvements on the application level and real-time pod resource rightsizing.
Real-time continuous optimization
Scalable optimization that it is flexible despite usage growth and fluctuations Full-stack impact across runtime, Kubernetes, and infrastructure layers Automatic with no need for engineering efforts or developer maintenance
Easily deploy and optimize any environment
Every architecture, every environment
Environments & Workloads
Kubernetes and container environments
Intel Granulate seamlessly integrates with highly dynamic microservices environments. Integrating Intel Granulate to the CI/CD process ensures that every workload and microservice you deploy is automatically optimized.
Continuous automatic learning of microservices and containers with no code or image changes required.
Autonomous runtime resource optimization of running applications with no manual efforts.
Ensure applications/services are performing optimally in the context of end user experience.
Automated application of CPU and Memory request changes for continuous pod capacity optimization.
Kubernetes and container native application-driven optimization
Increase performance with reduced response time and improve throughput on every machine with real-time application-level optimization
Apply CPU and Memory request changes automatically to optimize autoscaling and keep your competitive SLAs
When optimization benefits are used to eliminate cores, businesses are able to save 20-45% on compute costs