IBM Spectrum Symphony

Deliver enterprise-class management for running compute and data-intensive distributed applications on a scalable, shared grid

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Overview

Enterprise analytics workload control

IBM Spectrum Symphony® software delivers powerful enterprise-class management for running compute-intensive and data-intensive distributed applications on a scalable, shared grid. It accelerates dozens of parallel applications for faster results and better utilization of all available resources. With IBM Spectrum Symphony, you can improve IT performance, reduce infrastructure costs and expenses and quickly meet business demands.  

Features

Core workload management capabilities

A fair-share scheduling scheme with 10,000 priority levels can be used for multiple jobs for a single application. Preemptive and resource-threshold-based scheduling is available with runtime change management. Multi-dimensional scheduling is supported with the ability to specify slot definition for each consumer in terms of up to four customizable resource metrics.

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IBM Spectrum Symphony provides support for a hybrid HPC cloud, enabling workloads to be forwarded to multiple clouds and data to be automatically staged to or from the cloud. Further, resources that are consumed on the cloud can be autoscaled based on workload demands and scheduling policies. IBM Spectrum Symphony is available for fully automated deployment on IBM Cloud.

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    The resource-sharing model in IBM Spectrum Symphony helps reduce infrastructure expenses and management costs. It enables you to deploy multiple heterogeneous applications on the same shared grid. At the same time, you can preserve line of business ownership while delivering service-level guarantees.

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      The IBM Spectrum Symphony Advanced Edition includes an Apache Hadoop-compatible MapReduce implementation optimized for low latency, high reliability and resource sharing. Using this capability, you can run Hadoop and non-Hadoop applications on the same shared distributed infrastructure. The multitenant architecture allows multiple MapReduce engines to be deployed on a single shared infrastructure.

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        Multiple cluster support allows a set of resources to span multiple clusters and to be moved between clusters based on need. A single session can run across multiple clusters, both on premises and on the cloud, efficiently managed through a single interface.
        With rolling upgrades, administrators can easily install and configure a newer version of IBM Spectrum Symphony over an older version without the need for manual migration.

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        IBM Spectrum Symphony is available in three editions, all featuring low-latency, high-performance computing service-oriented architecture, agile service and task scheduling. The editions range in scalability from one or two hosts for Developer Edition, to up to 5,000 hosts and 128,000 cores for Advanced Edition—your best choice for distributed compute- and data- intensive applications, including Hadoop MapReduce. The Standard Edition offers enterprise-class performance and scalability.

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        Use cases

        Scale performance and risk insight

        Enable high-performance workload management across hybrid environments with scalable scheduling and automation. Support time-critical analytics, optimize resource use with cloud bursting, and streamline workflows to improve efficiency, flexibility, and reliability for demanding workloads.
        Manage risk workloads with grid computing

        Support complex risk and pricing workloads with fast, reliable grid computing. Enable financial services teams to run large-scale analytics efficiently, improving accuracy and speed while handling computationally intensive applications for better decision-making.
        Scale workloads with hybrid cloud bursting

        Expand capacity on demand with hybrid multi-cloud bursting across environments. Seamlessly tap into cloud resources during peak workloads, improving efficiency and controlling costs while maintaining performance across on-premises and cloud infrastructure.
        Handle time-critical workloads with speed

        Deliver low-latency scheduling for time-sensitive applications. Optimize execution of critical workloads such as financial analytics and regulatory processes, ensuring fast response times, high performance, and reliable outcomes under demanding conditions.
        Automate workflows across clusters and clouds

        Streamline operations with advanced batch processing and workflow management. Enable dynamic scaling across clusters and clouds while supporting multi-tenant environments, improving resource allocation, automation, and flexibility for complex enterprise workflows.

        Resources

        Explore insights and supporting materials

        Discover additional materials designed to support your learning and planning. Explore curated content that offers insights, guidance, and context to help you better understand capabilities, align priorities, and stay informed as your needs and objectives evolve over time.
        Spectrum HPC Product Roadmap
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