Real-Time Continuous Cloud Compute Optimization

Cloud Native Autonomous, AI-driven Performance Boost

Granulate: Purpose-Built for the Cloud

Organizations utilize the cloud for increased flexibility and fast growth but face growing cloud bills. Granulate is engineered for cloud-native and hybrid environments – providing significant cost reduction and performance optimization without any code changes.

Reduce Cost By

Reduce Responce Time By

Increased Throughput

Code Changes

Autonomously Optimized Application-Aware Infrastructure

Granulate continuously optimizes the operating system's resource manager to significantly improve performance and increase capacity in on-premises and cloud environments.

Infrastructure Agnostic

Granulate provides out-of-the-box support for infrastructure on AWS, Azure and GCP.

Real Time Continuous Optimization

Granulate learns your service's data flows and processing patterns and automatically optimizes kernel and runtime level resource management, achieving massive performance gains.

Hybrid And Multi Cloud Real Time Continuous Optimization

Purpose-built for the enterprise cloud, Granulate provides consistent infrastructure and consistent optimization across hybrid and multi cloud environments.

Single View - Across the ecosystem, cloud, hybrid or multi-cloud environments.

Single Agent - Fully autonomous, out-of-the box support for hybrid and multi cloud environments.

Local Optimization - Contained performance optimization of each virtual server.

Auto Deployment - Seamlessly integrates with provisioning and IT automation tools across cloud and hybrid infrastructures.

Application-Driven - Granulate continuously baselines and optimizes workload performance by adapting each machine to the load applied, keeping your application environment streamlined.

Plug-And-Play Support For Cloud Architectures And Environments

Granulate seamlessly integrates with all leading cloud compute workloads and services.

Slash Costs On Cloud Migrations

Whether you are changing cloud provider, modernizing your architecture or updating the technological stack, Granulate allows you to improve your workload performance and cut compute costs without R&D efforts or code refactoring.

Avoid The Lift & Shift Risk

Application-driven performance optimization allows you to reduce the number of required machines and downsize while migrating to the cloud.

Prove Cloud Migration Success

Avoid the pitfalls of rising compute costs post-migration, leveraging Granulate to reduce workload and machine size.

Enjoy Microservices Agility And Performance

Microservices based on Kubernetes and containers provide better agility, but place a burden on performance due to additional overhead. Granulate continuously boosts performance by solving contentions and eliminating bottlenecks.

Reap The Benefits Of Elastic Environments

Native support for elastic environments such as EC2 and EKS so you can continue scaling based on existing policies but with significantly less compute resources.

Optimize the Performance and Costs of Your Legacy Cloud Workloads

Go beyond the legacy solutions and best practices of cost analysis, discount purchasing, and application or workload monitoring and experience the new frontier of cloud performance: Real-Time Continuous Optimization.

Granulate performs continuous operating system resource management adaptations to squeeze the best performance out of each workload.

The result is running your existing workload with better performance with significantly less servers.

Dynamic Microservices Environments

Granulate seamlessly integrates with highly dynamic microservices environments. Integrating Granulate’s agents to the IT automation process ensures the very workload and microservice you deploy is automatically optimized.

Granulate was built and designed to support auto scaling based and orchestrated environments deployed with Spot Fleet, Elastic Container Service, Elastic Kubernetes Service, Azure Kubernetes Service, Azure Container Service, Google Kubernetes Engine and any other orchestration auto scaling tools.

Technology Stack

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.