Public cloud services have grown tremendously in the past decade, increasing to $397 billion in 2022 (a growth of 47% compared to 2020). And yet, the cloud poses challenges with 62% of companies reporting that Cloud technologies migration projects are more difficult to implement than anticipated. Common challenges faced by companies mainly concern going over budget and not performing enough pre-migration testing.
For enterprises to reap all the benefits of the cloud, reach their goals, and attain speed-to-market, quality from the beginning of the cloud journey should be a top priority. The holistic quality engineering concept developed by Accenture is an approach that improves traditional testing via quality factors embedded throughout the entire development process. It leverages analytics and AI to optimize automation and speed precision testing. How can quality engineering help organizations achieve cloud success?
Quality engineering goes hand in hand with complex Cloud technologies systems
A holistic approach to quality engineering matters because Cloud technologies can be very complex in nature. Unlike on-premises systems, cloud systems are susceptible to unpredictable challenges because they’re made of ecosystems of distributed apps and components; all of them depend on the underlying infrastructure.
On-premise and cloud development are much like the manual and automatic transmission of a vehicle. There’s more effort when using a manual gearbox but greater control. Cloud-based systems are automatic, which means they’re bound by additional technical details that are out of the user’s control. This means that failures require complex fixes that can be made with the help of quality engineering.
Testing resilience is just as important as the end result
Software developers do more than code. Their job is to acknowledge the reasons behind an error so that they can fix it in due time. In a cloud environment, the components of a system interact differently, which means finding solutions to an error may be challenging. “Time-out”, for example, happens when a component is in need of assistance but doesn’t receive an immediate reply.
There could be numerous reasons for the delay, such as node-related or lag failures. Usually, when a component retries to get help and gets no reply, and then tries again and again, the pressure created on the system may impact the entire infrastructure of the cloud environment. Quality engineering saves the day by ensuring applications work together to stay resilient. It is particularly important during a cloud migration process because additional apps and workloads are involved.
Added scalability increases the overall value of the cloud
One of the core benefits of the cloud is fast scalability as it can deal with workloads on demand. Financial reporting, for instance, demands tremendous computer resources. Via the cloud, necessary resources can be added seamlessly, streamlining the process and making financial reporting more time-efficient.
To keep costs under control, auto-scalability must be closely monitored. Auto-scaling rules need optimization and validation through proper testing to maintain the balance between costs and benefits. Quality engineering helps fine-tune the process so that business leaders can benefit from performance and convenience without going over budget or compromising security.
To make sure cloud-based projects are kept on track, quality engineering guarantees that the cloud journey is pointed in the right direction. Organizations that are not yet equipped to transition to the cloud are advised to opt for a cloud Development service, just to get the full explanation of the benefits provided, the challenges, and the solutions available.