Best DevOps Software for Red Hat Enterprise Linux

Find and compare the best DevOps software for Red Hat Enterprise Linux in 2024

Use the comparison tool below to compare the top DevOps software for Red Hat Enterprise Linux on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    New Relic Reviews
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    New Relic’s enterprise-grade DevOps solutions equip software teams with a unified platform that consolidates all telemetry data, delivering comprehensive visibility and control across the software development lifecycle. Built for large-scale operations, our powerful full-stack analysis tools foster seamless collaboration between development and operations teams, supporting continuous integration and continuous delivery (CI/CD). Through real-time insights, proactive alerts, and automation, New Relic enables teams to detect and resolve issues quickly, optimize performance, and improve reliability. Increase efficiency, accelerate deployment, and deliver high-quality software with New Relic’s DevOps solutions.
  • 2
    Maxeler Technologies Reviews
    Maxeler high performance dataflow solutions are easy to integrate into production data centres and allow for easy programming and management. Maxeler high performance dataflow solutions can be integrated into production server environments and support standard operating systems as well as management tools. Our management software coordinates resource usage, scheduling, and data movement within the dataflow computing environment. Maxeler dataflow nodes can run production-standard Linux distributions, including Red Hat Enterprise 4 or 5. Any accelerated application can run on a Maxeler Node as a standard Linux executable. Programmers can create new applications by linking existing dataflow engine configurations into their code and then calling simple functions interfaces. MaxCompiler offers complete support for debugging during development, including a high speed simulator to verify code accuracy before generating an implementation.
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