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    Intel Granulate - Application Level Optimization

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    Intel® Granulate™ empowers enterprises and digital native businesses with real-time, continuous application-level performance optimization and capacity management for any type of workload, leading to up to 45% in reduced cloud and on-prem compute costs, with no code changes needed.

    Overview

    Intel® Granulate™ empowers enterprises and digital native businesses with real-time, continuous application-level performance optimization and capacity management, on any type of workload, resulting in cloud and on-prem compute cost reduction. Available in the AWS marketplace, the AI-driven technology operates on the runtime level to optimize workloads and capacity management automatically and continuously without the need for code alterations. Intel Granulate offers a suite of optimization solutions, supporting containerized architecture, big data infrastructures, such as Spark, MapReduce, and Kafka, as well as resource management tools like Kubernetes and YARN. Intel Granulate provides DevOps teams with optimization solutions for all major programming languages, such as Python, Java, Scala, and Go. Customers are seeing improvements in their job completion time, throughput, response time, and carbon footprint while realizing up to 45% cost savings.

    Highlights

    • Reduce costs by up to 45%
    • Improve job completion time by 35%
    • Increase throughput by 41%

    Details

    Delivery method

    Deployed on AWS

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    Features and programs

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    Pricing

    Intel Granulate - Application Level Optimization

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (3)

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    Dimension
    Description
    Cost/month
    1,000 vCPU Units
    Number of vCPU managed (up to 1000)
    $8,640.00
    15,000 vCPU Units
    Number of vCPU managed (up to 15,000)
    $129,600.00
    50,000 vCPU Units
    Number of vCPU managed (up to 50,000)
    $432,000.00

    Vendor refund policy

    None

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    AWS infrastructure support

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    Product comparison

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    Updated weekly

    Accolades

     Info
    Top
    25
    In Container Cost Optimization, Resource Cost Optimization
    Top
    25
    In Container Cost Optimization, Cost Allocation and Accountability, Resource Cost Optimization
    Top
    10
    In Analytic Platforms

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
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    Overview

     Info
    AI generated from product descriptions
    Application Performance Optimization
    AI-driven runtime-level optimization for workloads without code modifications
    Multi-Language Support
    Optimization solutions for Python, Java, Scala, and Go programming languages
    Containerized Architecture Support
    Optimization capabilities for containerized environments and resource management tools like Kubernetes and YARN
    Big Data Infrastructure Optimization
    Performance enhancement for big data frameworks including Spark, MapReduce, and Kafka
    Continuous Performance Tuning
    Real-time and automatic workload optimization and capacity management across different infrastructure types
    Resource Optimization
    Utilizes patented algorithms to optimize compute and memory resources in Kubernetes and Amazon EMR clusters in real time
    Performance Tuning
    Dynamically tunes cloud autoscaler to respond to changing application workloads without requiring manual intervention
    Workload Scheduling
    Enables scheduling decisions based on actual resource usage instead of allocated resources, maximizing hardware efficiency
    Platform Compatibility
    Supports Amazon EKS, Spark, Amazon EMR on EKS, and Amazon EMR platforms for comprehensive resource management
    Continuous Intelligent Optimization
    Provides real-time data stream for continuous performance and resource optimization without application code modifications
    Resource Optimization
    Automated continuous analysis and vertical scaling of Kubernetes pods based on real-time compute usage
    Cluster Management
    Proactive identification and removal of under-provisioned nodes and consolidation of pods onto more efficient compute resources
    Deployment Mode
    Self-hosted platform with quick two-minute installation process
    Runtime Optimization
    Zero-disruption automatic pod optimization during runtime
    Workload Analysis
    Capability to handle critical production workloads in full automation mode

    Contract

     Info
    Standard contract
    No

    Customer reviews

    Ratings and reviews

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