Since the domination of cloud platforms, IT, and businesses have considered it to impact the organizations, probability has become the theme. Cloud offers you to seamlessly transport applications from on-premise data centers to the cloud, an ideal situation for everyone.

Differences in the management processes and APIs can cause a rift between the formats used to standardize the virtual network, compute, and storage resources, frustrating people who view probability as a requirement. To avoid any trapping situation, the probability is an essential factor in the adoption of cloud platforms.

While the container technology is old, it doesn’t work with probability; in fact, it turns out to be just a side-effect of adoption. Abstraction from OS and forced compatibility among the shared elements through containerization is the best option for portability across the public, private, or on-premise server.

Despite the portability, we are still missing the predictability. Predictability is a non-negotiable aspect of IT business operations. Six Sigma, known to be working on arcane formulas, has the notion of “reducing variability” in their processes and execution. It aims for the predictability by lowering the variances and getting a more consistent outcome. Predictable is the goal.

Without predictability, it becomes difficult to estimate costs, including profits and operating expenses. Moving applications across the platforms can impact the performance of the application, which can cause establishing the operating parameters to be a bit difficult.

Predictability, related to either performance or capacity, can be impacted by many factors, including the architecture (system and network), location, and type of the device accessing the application. Applications can combine to affect the performance or capacity, which can lead to negative results, opposing the expectations. The simplest change in the application or environment can change the results.

For instance, if you have changed the load balancing algorithm from round-robin to least connection, you can verify considerable differences in the result. Moving from TCP optimized stock to a general one for mobile app development, you will instantly notice the changes.

The minor changes are expected when we are trying to achieve probability while leaving the predictability behind. When we move an application to a public cloud without thinking about the infrastructure and policies, we unknowingly introduce unpredictability. When we analyze the impact of network and apps on the performance, we can face the issue of high expenses due to the inadequate capacity management, or you could lose a massive chunk of your customers due to the low performance.

When it comes to virtual Cloud Desktop, the probability is right in front of us, while businesses and IT can leverage the new environments and tools offered by public cloud platforms. While we are chasing that, we should not forget that companies and users expect a certain level of predictability in terms of performance and capacity. Consider your architectures, and not just applications, while you decide to shift to the public cloud.