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How to Build an Effective Cloud Performance Testing Strategy

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How to Build an Effective Cloud Performance Testing Strategy

Building a cloud performance testing strategy means considering load and stress testing, scalability, elasticity, and more.

· Performance Zone ·
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A recent Forbes report has estimated that the global cloud IT market revenue is predicted to increase from $180B in 2015 to $390B in 2020, attaining a Compound Annual Growth Rate (CAGR) of 17%.

Cloud computing services are leveraged by enterprises to not just cut down the infrastructure costs, but to bring more efficiency and agility to the process. In an environment where it is absolutely necessary to build the right strategy for testing applications in the Cloud environment, Performance Testing forms a key aspect of the Cloud Testing strategy, where the application has to be tested for scalability, accessibility, availability, and security while being hosted on the Cloud.

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An application needs to be tested thoroughly before it hits the market. It has to be evaluated for speed, stability, and scalability under varying load conditions. It cannot go live without addressing any issues related to poor usability, system failure, functional discrepancies, and much more.

In short, any inadequacy in performance testing can lead to issues post-launch.

Key Characteristics of Cloud

Cloud services are being leveraged by enterprises for their intrinsic benefits and features, which represent its strengths. A key aspect to consider is reduction in costs, which entails conversion of capital expenditure to operational expenditure. Cost-effectiveness depends on two factors; the number of activities and the infrastructure made available. Moreover, there is low maintenance for Cloud computing applications, which further reduces the effort.

Additionally, the performance of the application is constantly monitored and the web services are leveraged to develop loosely designed architectures. Cloud services help to further boost productivity, which enables multiple users to work on the same database at a given point of time. This helps in saving time and delivering within stringent timelines.

Resources are made readily available in a Cloud set-up when compared to a non-Cloud environment. These resources are external and can be made available on demand. This makes Cloud computing more reliable and efficient for enterprises who might need rapid availability of infrastructure for testing or development.

Testing in a Cloud environment is very much similar to testing in a non-cloud set-up. It involves a range of tests that help teams to analyze various aspects of the system. There are various Cloud adoption scenarios – public, private, or hybrid. Performance testing evaluates the application/software for various issues that need to get fixed. The difference comes in while planning and executing performance tests on the Cloud, as there are performance tests that are not so applicable in a Cloud set-up. Most importantly, the response time in a Cloud environment could differ from the time taken in a non-Cloud environment.

Cloud services are implemented in various forms – Public, Private, and Hybrid. These are some important tests that development teams must consider in a Cloud set-up and as a part of the performance testing strategy.

Get Statistics on the Load

While the testing process begins, it is critical to get the required information from the Cloud provider on the load statistics from other customers sharing the Cloud. This will provide key inputs on the kind of response time that you can expect, considering there will be other applications hosted on the Cloud. Hence, it is recommended to run the tests when the load is high and evaluate the response time.

These tests need to run regularly to note the minimum response time, maximum response time, and the average response time. It will help during the actual testing process and keep a track on the application’s response time.

Conduct Stress Tests

Similar to the load test, it is essential to conduct stress test in the public Cloud, where extreme planning and execution has to be done. Public Cloud is shared by multiple users, so testing has to be planned effectively as compared to a private cloud where space is exclusively available. Stress testing is critical for all the applications and understanding its behavior during pressure points and breaking points.

Monitoring the Memory

With memory monitoring tools, volume tests can be conducted, where the testing team can monitor the virtual memory. This is essential for understanding the capacity and scalability of the virtual environment for testing the application. There are various tools that can be implemented to measure these.

Check for Elasticity and Scalability

Elasticity testing is absolutely essential in a Cloud set-up to understand whether the performance is in line with the defined SLAs and can be further scaled up to an expected level. In a Cloud set-up where the model is more or less pay-per-use, elasticity testing helps to validate the quantum of services used and estimate the costs against the usage. This approach involves stressing the load to cut through the breaking point, where the load can be increased and decreased. For such cases, the boundary value analysis method comes in handy, which can help to determine the threshold.

In Conclusion

Cost effectiveness, speed, agility, and efficiency are some key reasons why enterprises are leveraging the Cloud extensively. Performance testing is a complex task that needs to be effectively customized for various applications/projects. There are various factors that have to be considered while building the strategy – project environments, business drivers, acceptance factors, technology stack, available skill sets, resources, and approaches.

In a Cloud set-up, the environment has to be checked for conduciveness and load for testing the application’s performance. There are different implications of testing on a public cloud as against a private cloud. The Cloud can give the results, provided the strategy is very much intact.

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