IBM to Acquire Turbonomic

IBM has a definitive agreement to acquire Turbonomic, an application resource management (ARM) and network performance management software provider based in Boston.

The acquisition will provide businesses with full stack application observability and management to assure performance and minimize costs using AI to optimize resources—such as containers, VMs, servers, storage, networks, and databases. This will ensure they can efficiently assess and manage the performance of any application, anywhere. 

IBM says the acquisition will also enable cost savings, estimating that Turbonomic can save customers up to 30% by helping to optimize cloud resources.

And, in a third key benefit, IBM says it will support AIOps, the ability to apply AI to their IT environments to easily identify and remediate problems, sometimes before they ever even happen. 

The acquisition complements IBM’s recent acquisition of Instana for application performance monitoring and observability, and the launch of IBM Cloud Pak for Watson AIOps to automate IT Operations using AI. By acquiring Turbonomic, IBM is the only company that will be able to provide customers with AI-powered automation capabilities that span from AIOps (the use of AI to automate IT Operations) to application and infrastructure observability—all built on Red Hat OpenShift to run across any hybrid cloud environment.

“IBM continues to reshape its future as a hybrid cloud and AI company,” said Rob Thomas, senior vice president, IBM Cloud and Data Platform. “The Turbonomic acquisition is yet another example of our commitment to making the most impactful investments to advance this strategy and ensure customers find the most innovative ways to fuel their digital transformations.”

With the acquisition of Turbonomic, IBM says it will help companies overcome the high costs associated with managing performance and availability for multiple applications sharing an increasingly complex hybrid cloud environment. Given these challenges, organizations are seeking to adopt AIOps for full stack observability and visibility into their IT resources so they can deliver high availability and performance of applications at lower costs.

The transaction is subject to customary closing conditions. It is anticipated the transaction will close in the second quarter of 2021.

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