Red Hat Recognized as a Leader by Independent Research Firm in Infrastructure Automation Platforms Evaluation
Red Hat Ansible Automation cited among leaders based on its scores in the strategy, market presence and current offering categories
Dubai, United Arab Emirates - 22, August 2019: Red Hat, Inc., the world's leading provider of open source solutions, today announced that Red Hat Ansible Automation has been named a Leader by Forrester Research in the Forrester Wave™: Infrastructure Automation Platforms, Q3 2019.
Red Hat was evaluated for the Forrester Wave based on 31 criteria grouped into three categories: current offering, strategy and market presence. In the evaluation, Red Hat received the highest possible score in the criteria of planned enhancements, vision, consulting, training and support, community support, and market approach.
According to Forrester’s evaluation, Red Hat Ansible Automation excels at orchestration and integration with other types of automation. They also cite that “reference customers said they were replacing other tools mentioned in this Forrester Wave with Ansible and praised the solution’s ability to bridge operations and development.”
Red Hat Ansible Automation is an automation platform that provides a trusted foundation for building and operating automation services at scale. As enterprises implement automation they often want to extend that automation across their organizations, which often requires a piecemeal approach -- limiting its effectiveness and creating silos. Red Hat Ansible Automation provides a complete platform for automating, enabling organizations to more easily scale automation across IT operations and development, including infrastructure, networks, cloud, security and beyond.
The platform also integrates across other products in the Red Hat management portfolio, including Red Hat Insights, Red Hat’s expertise-as-a-service offering. With Red Hat Insights, Red Hat Ansible Automation can build upon recommendations and remediation suggestions from Red Hat Insights to automate potential issues before they impact business processes.
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