Case Study: Komatsu Ltd achieves lower cloud costs and improved application performance with IBM Turbonomic

Komatsu implements AI-powered automation in the public cloud

Komatsu Ltd, the multinational manufacturing firm behind construction, mining and industrial equipment, was struggling to manage public cloud performance and costs as it migrated workloads to Microsoft Azure. Its IT team relied on manual monitoring, user complaints and reactive fixes, with limited visibility into overprovisioning and no reliable way to predict the impact of resourcing decisions. Komatsu turned to IBM and the IBM Turbonomic hybrid cloud cost optimization solution to address these challenges.

IBM implemented Turbonomic’s AI-powered, full-stack resource optimization and automation capabilities to proactively right-size servers, storage and databases in Azure. The results included more than USD 650,000 in public cloud savings, 33% or more savings on server run rates through reserved instances, and a reduction in user complaints to about 10–12 tickets per year.

Komatsu Ltd

Matthew Koozer

Infrastructure Architect