Established iterative approach to rapidly apply data insights
Previously, Siemens completed system upgrades twice a year. Now, enhanced data collection and analysis helps Siemens’ developers gain insight into current production system conditions—and opportunities for ongoing improvement. The company has also used Red Hat OpenShift to refactor existing systems into microservices, as well as automate routine tasks and support code reuse. As a result, Siemens can more quickly act on data insights to achieve better performance for OMS and other systems.
“Using Red Hat OpenShift at our Amberg facility means our developers can be more involved and see real-time changes from applying data insights to our production operations,” said Schulze. “Time savings as small as tenths of a second add up in an integrated production line like ours. It generates 4.5 million requests each day, and even millisecond improvements in processing time can have a positive effect.”
Improved production system and data security
In addition to more frequent, iterative performance improvements, Siemens can now complete similar updates to address potential security vulnerabilities and threats in its critical manufacturing systems. Red Hat provides ongoing patches and bug fixes for the entire container application stack, including the container host, cluster management, and applications and services running on the platform.
“Security has become an increasing concern, given the value of our data, the complexity of our operations, and the potential cost of disruption,” said Schulze. “Even though our central IT team is only 80 km away in Munich, we cannot have any interruption in connectivity that would in turn slow a production line in our manufacturing facility. Red Hat OpenShift allows us to complete patches on a rolling schedule, with no disruption to daily production.”
Improved global collaboration
With a consistent foundation across environments—and support for a choice of tools and technologies—Siemens can run Red Hat OpenShift on site or as a managed cloud service in a hyperscale cloud environment, such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), or IBM Cloud.
Replacing its outdated, monolithic system architecture with modular, responsive enterprise open source technology has created new opportunities to open the digital factory approach Siemens has adopted in its Amberg facility to global teams.
“We don’t want to only recruit talent that’s an hour away. We recognize the value of global talent, and different perspectives,” said Schulze. “We also have to consider how a solution could be applied across our global manufacturing operations. Code that works in Amberg should also work in our other Digital Industries factories in Fürth, Germany, and Chengdu, China.”