IBM has acquired Turbonomic, an Application Resource Management (ARM) and Network Performance Management (NPM) software provider based in Boston, MA. The acquisition will provide IBM’s clients with full stack application observability and management capabilities. It will help assure performance and minimize costs using AI to optimize resources – such as containers, VMs, servers, storage, networks, and databases.

With the acquisition of Turbonomic, IBM intends to 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 would be 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. Financial terms of the acquisition were not disclosed.

“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.”

Turbonomic ARM

By integrating Turbonomic ARM with Instana’s APM capabilities, a user is able to automate actions to optimize their underlying IT infrastructure and assure performance across applications. The Turbonomic ARM integration with IBM Cloud Pak for Watson AIOps enriches the ITOps experience in cross-cloud management by bridging an application’s topology to the resources on which it runs. This would ensure that customers can deliver quicker resolution of incidents or, if resourcing actions are automated, automatically absorb demand spikes with no degradation to end user response time.

Photo Rob Thomas, Senior Vice President, IBM Cloud and Data Platform
“IBM continues to reshape its future as a hybrid cloud and AI company,” said Rob Thomas, Senior Vice President, IBM Cloud and Data Platform.

Another major benefit for customers would be the potential for sustainability improvements related to lower server, facilities and carbon usage afforded by Turbonomic’s ability to continually right size resources, without compromising application performance.

As 5G adoption continues to grow, enterprises are also looking to move workloads to the edge. This is driving networking to be an integral component of the application deployment strategy. With this acquisition, IBM plans to leverage Turbonomic’s NPM products and strong presence in the telecommunications industry to complement its own offerings and expertise in this area, helping customers intelligently optimize applications running in 5G environments.

“Businesses are looking for AI-driven software to help them manage the scale and complexity challenges of running applications cross-cloud,” said Ben Nye, CEO, Turbonomic. “Turbonomic not only prescribes actions, but allows customers to take them. The combination of IBM and Turbonomic will continuously assure target application response times even during peak demand.”

Cisco Intersight Workload Optimizer

Turbonomic has built and maintains an OEM relationship with Cisco through Cisco Intersight Workload Optimizer. The acquisition also builds on IBM’s growing investment in its ecosystem of business partners such as Cisco to help customers accelerate their journey to hybrid cloud and AI.

“We believe that AI-powered automation has become inevitable, helping to make all information-centric jobs more productive,” said Dinesh Nirmal, General Manager, IBM Automation. “That’s why IBM continues to invest in providing our customers with a one-stop shop of AI-powered automation capabilities that spans business processes and IT. The addition of Turbonomic now takes our portfolio another major step forward by ensuring customers will have full visibility into what is going on throughout their hybrid cloud infrastructure, and across their entire enterprise.”

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