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Granulate

Granulate

Overview

What is Granulate?

Granulate is a workload optimization solution offered by the vendor Granulate. According to the vendor, the product is designed to improve application performance and reduce costs by optimizing resource allocation in real-time. It is suitable for companies of all sizes, from small startups to large...

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Pricing

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  • No setup fee

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  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is Granulate?

Granulate is a workload optimization solution offered by the vendor Granulate. According to the vendor, the product is designed to improve application performance and reduce costs by optimizing resource allocation in real-time. It is suitable for companies of all sizes, from small startups to large enterprises. Granulate caters to various professions and industries, including IT professionals, DevOps engineers, cloud architects, data scientists, and e-commerce companies.

According to the vendor, Granulate offers the following key features:

Autonomous Workload Optimization: Granulate provides continuous workload optimization by adapting the operating system's resource management in real-time. It analyzes data flows, processing patterns, and resource contentions to tailor resource scheduling decisions, aiming to resolve inefficiencies and improve performance.

Quick Deployment: According to the vendor, Granulate offers a quick and easy deployment process, allowing for seamless integration into existing infrastructure without extensive R&D efforts or customization.

Application-Aware Optimization: Granulate goes beyond traditional solutions by providing application-aware optimization. According to the vendor, it optimizes resource management based on the specific needs of each application, aiming to improve performance and reduce costs without requiring any code changes.

Support for Various Environments: Granulate supports a wide range of environments, including cloud optimization, on-premises optimization, Kubernetes and containers optimization, big data optimization, and Databricks optimization. According to the vendor, this ensures that organizations can optimize their workloads regardless of their infrastructure setup.

Real-Time Continuous Optimization: Granulate continuously optimizes the operating system's resource manager in real-time. According to the vendor, it dynamically adapts resource allocation based on workload patterns to ensure peak efficiency and handle peak traffic.

Seamless Integration: Granulate seamlessly integrates with existing monitoring tools and dashboards, according to the vendor. This allows organizations to continue using their preferred tools for monitoring and performance management.

Automatic Workload Scaling: According to the vendor, Granulate enables automatic workload scaling by leveraging performance gains achieved through optimization. This allows organizations to reduce cluster size and downsize their machines, resulting in significant cost savings on cloud providers or on-premises compute costs.

Comprehensive Optimization: Granulate provides comprehensive optimization by analyzing various factors, including thread scheduling, lockless networking, inter-process communication, connection pooling, congestion control, and memory arenas. According to the vendor, this aims to deliver optimized performance beyond traditional solutions such as rightsizing and workload performance management.

Real-Time Profiling: Granulate provides real-time insights into application performance and resource usage, according to the vendor. It aims to identify bottlenecks and resource contention for proactive optimization and troubleshooting.

Resource Utilization Analysis: According to the vendor, Granulate analyzes resource utilization patterns and provides detailed metrics on CPU, memory, network, and disk usage. This aims to optimize resource allocation and improve overall efficiency.

Granulate Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
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