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
60%
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 creates a streamlined environment, improving performance and reducing costs.
Technology Stack

Real Time Continuous Optimization

Easily Deploy and Optimize Any Environment
Native deployment of Granulate agents as a side car based on DaemonSet, docker image, or any other provisioning method in self managed or managed service such as OpenShift, EKS, ECS, AKS, ACS, GKE.
Simple Installation
Deploy Granulate agents using a DaemonSet 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 and reduce 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 the native provisioning and placement optimization decisions by optimizing the pods and containers interaction with the operating systems 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