
Software Usage Monitoring and Optimization
Learn how usage monitoring in an E&P IT environment can be beneficial for many stakeholders; executives and IT management, individual users, and also providers to the industry.
- To benefit from monitoring information technology resource usage in your environment or at your customer site. Metering matters and what you can expect to accomplish with metering.
- The business cases of an E&P organizations clearly benefited from implementing an IT usage monitoring.
- The common obstacles of getting started and give you some advice on what to look for and how to move forward with usage monitoring.
Latest Blogs

Concurrent License Reporting: What Usage Data Reveals
In our previous article, “Concurrent License Usage: What You Need to Know,” we explored how concurrent licensing allows organizations to share a pool of software licenses across multiple users. This model helps maximize license utilization while controlling the cost of expensive engineering and enterprise software. But understanding how concurrent licensing works is only the first step. Once licenses are deployed in real environments, organizations begin asking deeper

Simulation Restrictions in High-Performance Racing: Enabling Software License Efficiency with Open iT
Top-tier international racing operates under some of the most stringent engineering constraints in modern industry. Teams rely on advanced simulation software to develop performance-critical components, yet both how much simulation can be performed and how resources are spent are tightly regulated. Within this environment, success on the track also depends on software license efficiency. Modern racing teams

Concurrent License Usage: What You Need to Know
Concurrent software licensing is widely used in engineering and technical software environments where applications are shared across large teams. While this model improves access to specialized tools, it can also make it harder to understand how licenses are actually used. Many organizations rely on anecdotal peak usage, vendor estimates, or isolated denial events rather than consistent historical
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