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Operating in the cloud can have some great benefits compared to operating with on-premises software. That’s why surveyed IT professionals predict 83% of enterprise workloads will be in the cloud by the year 2020.
As IT infrastructures continue to grow more complex, finding performance bottlenecks gets hard. That’s why it’s absolutely essential that IT teams have the tools, training, and resources necessary to quickly identify causes of poor application performance.
Sometimes, things just don’t go to plan. It happens in everyday life and even in the most robust IT systems.
Queuing theory is the study of queues, otherwise known as waiting lines. It sounds straightforward. But unless you have an advanced math degree, queuing theory can be difficult to understand. That’s why we’re clarifying queuing theory basics.