Real-Time Continuous Kubernetes & Containers Optimization
Autonomous, Application Driven Orchestrated Workload Optimization
Harness automation and OS-level resource management optimization to simplify and improve Kubernetes performance at scale
Reduce
Costs By
45%
Response
Time By
40%
Increased
Throughput
5X
Changes
0
Automated Full Stack Optimized Containers and Pods
Granulate is pioneering real-time continuous optimization in dynamic containerized or Kubernetes environments. Leveraging continuous OS-level adaptations, Granulate streamlines resource management, improving performance and reducing costs.
Technology Stack
Real Time Continuous Optimization
Easily Deploy and Optimize Any Environment
Native deployment of Granulate agents based on DaemonSet, Docker image, or any other provisioning method in self managed or managed services such as OpenShift, EKS, ECS, AKS, ACS, and GKE.
Simple Installation
Deploy Granulate agents using a DaemonSet, Docker image or your CLI in less than a minute
Single Agents
All in-one container and kubernetes optimization for any application
Zero Maintenance
Fully automated application-driven resource management optimization
No Code Changes
Optimization of the operating system resource management without any code changes
Quick Time To Value
Enjoy better container or pod performance in days, reducing the amount of resources they need
3 Steps, One Week For 60% Cost And Performance Optimization
Evaluate
1 Week
Sit back and watch Granulate autonomously learn the application and specific workload
Deploy
15 Minutes
Activate Granulate and be amazed, start experiencing performance improvements you didn’t think were possible.
Kubernetes and Container Environments
- Continuous automatic learning of microservices and containers with no code or image changes required.
- Autonomous performance optimizations of the operating system for the running containers or pods with zero manual efforts required.
- Ensure applications/services are performing optimally in the context of end user experience.
- Go beyond native provisioning and placement optimization decisions by optimizing how your pods and containers interact with OS resources.
Kubernetes and Container Native
Application-Driven Optimization
Workload Driven Resource Management
Real-time continuous operating system resource management adaptations to squeeze the best performance for each workload
Better
SLA
Enjoy improved performance by streamlining and solving resource contentions for each container and pod
Minimize
Costs
Native support for elastic environments, continue scaling based on existing policies with significantly less compute resources