Splunk Inc. announced that Zeppelin GmbH, is using Splunk Enterprise to reduce the risk of factory shutdowns and predict machinery and equipment maintenance. Zeppelin provides solutions in the following areas: construction machinery, mining machinery, agricultural machinery, rental machinery, construction logistics, construction site management, drive, propulsion, traction and energy, engineering, and plant engineering. It also develops new digital business models for the construction sector. The Zeppelin Group has 190 sites in 35 countries and generated a sales volume of €2.75 billion in the 2017 financial year; more than 8,000 employees (including trainees) contributed to this success. Zeppelin uses the Splunk platform to analyze the performance of every single spark plug in its combined heat and power (CHP) plants. Algorithms built with Splunk Machine Learning Toolkit identify possible machinery faults ahead of time and provide a warning to avoid a potential shutdown. Zeppelin is also using Splunk Enterprise to ensure it has a centralized overview of all the machine data from its 25,000 Caterpillar machines loaned out to customers, providing better visibility back to the business on areas like usage levels. In addition to predictive maintenance, Zeppelin extended its Splunk license to absorb more data from its VMware, Nutanix and SAP systems. The team are creating patterns in the data they index in Splunk, building baselines for KPI’s such as CPU and memory and by looking in the log files, Zeppelin can detect any anomalies in the data. The Splunk platform has optimized application and operating system performance across the entire group.