IBM completes Turbonomic acquisition, advancing efforts to create a one-stop shop for AI-powered Automation capabilities.

Automation brings simplicity to work by removing complexity from tasks, processes and decisions. This can help organizations save time and money, while helping their employees reclaim up to 50% of their time to focus on strategic priorities. But as organizations look to automate their entire enterprise — from business operations to IT — there is the possibility that they will complicate their automation efforts by adopting multiple solutions from multiple vendors.

A multi-vendor approach can do the following:

  1. Drive higher costs: Organizations with a multi-vendor approach often pay less for a specific product or service. However, in my experience, they have to invest in additional staff, trainings, systems and operational efforts to implement the solutions — and keep them working.
  2. Turn employees’ focus to maintenance projects vs. innovation: Most vendors create products, solutions or apps that work best together. This means that implementing products from multiple vendors can be complex and time-consuming. An organization will need to ensure that each product is compatible with other parts of its technology infrastructure, as well as monitor and launch updates that may impact performance. This often results in employees’ spending time on upkeep rather than proactive problem-solving and strategic priorities. 
  3. Strain existing, internal resources: It takes time and people to manage multiple vendors — from coordinating internally and across systems, ensuring collaboration among vendors and managing paperwork. 

This is why many organizations are looking to automate their entire enterprise with solutions from a single vendor.

IBM is creating a one-stop-shop for AI-powered Automation capabilities. With the acquisition of Turbonomic, an Application Resource Management (ARM) and Network Performance Management software provider, we will be able to help customers automate their entire enterprise with capabilities like robotic process automation (RPA), AIOps, ARM and process mining.

Turbonomic offers complete full-stack visibility of applications, optimizing application performance and the costs of running the application. Its capabilities also maintain policy compliance and minimize resourcing costs across hybrid cloud environments.

The Turbonomic 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. Specifically, IBM Cloud Pak for Watson AIOps and Turbonomic will help customers realize the governance, compliance, and cost efficiencies. Integration with Instana will provide complete application observability and automatically ingest and contextualize observability metrics, traces and events for performance. Together, these capabilities will be a powerful application-centric AIOps solution for organizations that are working to meet the demands of their customers. 

IBM is already helping thousands of customers use automation solutions to make IT and business processes more efficient and employees more effective. Learn more about AI-powered Automation and why IBM is the right vendor for you.

Was this article helpful?
YesNo

More from Cloud

IBM Cloud Virtual Servers and Intel launch new custom cloud sandbox

4 min read - A new sandbox that use IBM Cloud Virtual Servers for VPC invites customers into a nonproduction environment to test the performance of 2nd Gen and 4th Gen Intel® Xeon® processors across various applications. Addressing performance concerns in a test environment Performance testing is crucial to understanding the efficiency of complex applications inside your cloud hosting environment. Yes, even in managed enterprise environments like IBM Cloud®. Although we can deliver the latest hardware and software across global data centers designed for…

10 industries that use distributed computing

6 min read - Distributed computing is a process that uses numerous computing resources in different operating locations to mimic the processes of a single computer. Distributed computing assembles different computers, servers and computer networks to accomplish computing tasks of widely varying sizes and purposes. Distributed computing even works in the cloud. And while it’s true that distributed cloud computing and cloud computing are essentially the same in theory, in practice, they differ in their global reach, with distributed cloud computing able to extend…

How a US bank modernized its mainframe applications with IBM Consulting and Microsoft Azure

9 min read - As organizations strive to stay ahead of the curve in today's fast-paced digital landscape, mainframe application modernization has emerged as a critical component of any digital transformation strategy. In this blog, we'll discuss the example of a US bank which embarked on a journey to modernize its mainframe applications. This strategic project has helped it to transform into a more modern, flexible and agile business. In looking at the ways in which it approached the problem, you’ll gain insights into…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters