April 15, 2026
10AM CDT / 5PM CET
TRAINING
Engineering Software Administration
and Optimization (ESAO)
- Registration Deadline: May 5, 2026
Description
| DURATION | TRAINING TYPE | TIME | LANGUAGE | PRICE |
| 4 days | Virtual/Online | 3:00-5:30 PM CET | 8:00-10:30 AM CST | English | $990 |
Start your Open iT Training journey with this course on Engineering Software Administration and Optimization, in which our team of experts will equip you with the best practices and processes to get the most out of your software investments.
Master the ins and outs of managing the Open iT Core Reporter and/or Analysis Server. Explore various topics around License Administration. Get expert guidance on licensing infrastructure best practices and efficient license management to optimize applications usage. Acquire hands-on experience on the best practices in license management and usage optimization, with a practical output that you can take back to your company.
Dedicated Training Options
Delivering the training solutions you need, when you need them!We specialize in delivering customized training experiences. Your teams will acquire invaluable expertise precisely aligned with your organization’s strategic objectives.
Our flexible, on-demand framework ensures that training fits seamlessly into your schedule, offering convenience without sacrificing quality.
Contact us.
Latest Blogs
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
SaaS Cost Optimization Through License Usage Data Analysis
Software-as-a-Service (SaaS) has become the foundation of modern enterprise application environments. Across industries, organizations are shifting from perpetual software licenses toward subscription-based delivery models that enable rapid deployment, continuous updates, and flexible scalability. However, this shift introduces a new operational challenge: managing SaaS spend in environments where license consumption is difficult to measure. Industry analysts project that
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