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Testing Considerations – How to test your application after migrating to the cloud

A conceptual technical diagram illustrating the AWS and Google Cloud Interconnect partnership. It shows jigsaw puzzle pieces of AWS, Azure, Google Cloud, and Oracle, connected by a dedicated network pipe. Accompanying news headlines reference cloud competition and regulatory scrutiny. A pie chart shows cloud market share. Gauges track multicloud spend optimization.
Connecting Rivals: The AWS and Google Cloud agreement establishes a direct, private link between their networks, bypassing the public internet, but analysts suggest the move is more about defining multicloud networking standards than pure customer ease. (Visual: A representation of cloud interoperability versus market control.)

Many major firms are migrating their applications to the cloud these days. However, doing so comes with its own set of challenges. One of the biggest? The differences in testing techniques. Testing an application on the cloud is a lot different than testing with an on-site application. 

Testing itself is a difficult process: it requires planning, strategizing, and investing resources. When testing in the cloud, there are other aspects to consider, especially those related to parameters specific to the cloud. It all needs to aim at specific goals, like validating data availability, security, performance, scalability, and compatibility. 

Inadequate testing of a cloud-based application can cause problems such as loss of data, service disruption, and increased cost to the company. An experienced cloud support vendor can help you navigate these issues during the transition process. They can also help you create a testing methodology customized to your business requirements and your cloud environment.

But let’s not get into that right now but rather start with the basics: what testing considerations should you keep in mind before testing your cloud application?

Security

Since you’re working on the cloud, you have to ensure that your data and application are secure. Security is one of the most significant expenditures for all cloud companies. Since hackers use sophisticated techniques, your cloud partner must provide advanced security and risk mitigation strategies. 

You have to check for your provider’s SOC 2 report and their ability to protect your business assets and data from risks. Various security tests, such as penetration testing, vulnerability scanning, and security auditing, can be done on your system. Ultimately, your application should be able to avoid attacks like SQL injection, brute force, DDoS, cookie test, and cross-site scripting, among others. 

You should also test your application’s authorization. Only licensed individuals should be able to access your system and associated networks. Your provider should follow all security standards and regulations with all their clients. You should also carry out frequent accessibility tests to understand who has access to the system’s most critical parts. 

Integrations

As an application owner, you have to ensure that your application can work seamlessly after cloud migration. This means that all your APIs, libraries, and third party integrations should work after the migration. You have to perform integration tests to ensure that there are no coordination problems in your application.  

Furthermore, your cloud partner should avoid using a syntax that creates vendor lock-in issues, i.e., moving to different vendors should not involve substantial costs. Your vendor should use standard formats for storing data.

Public clouds have their own protocols and software development standards. This might cause problems since your application might not be suitable for that particular vendor. During the testing phase, engineers should test the cloud’s operability and understand any points of concern for that particular vendor. 

The vendor should also allow proof of concept testing. This should cover cloud vulnerabilities, integration problems, and operability procedure differences. This will help you understand how much that platform is different from the guidelines you work on and the amount of work involved in the migration. 

KPI and Performance testing

You should be able to determine how much your application performance has improved after you migrate to the cloud. You need to check things like which features of your business have improved after migration, how much revenue you are saving after switching to the cloud, how the app is performing now, among other things. 

You should also be able to identify your optimized workflow and business transactions. To perform KPI testing, you should test your application under both normal and peak traffic situations. Furthermore, you should do load testing and test the response time to validate them as per your SLA. You can also test for latency, response code, and errors. 

Functionality

You should test the actual functionality of the application after migrating to the cloud. The application should handle the workload without noticeable delays. You can determine application accuracy by using definite input to generate the output and comparing it with your expected output. 

You should do end-to-end application testing to check cross-platform validity and compatibility. Automation can be used to ensure that things run smoothly. You should only route traffic after completing platform validations in increments to avoid network congestion. Regular monitoring should be done to ensure that all tools are working correctly.

There should be a clear strategy for handling all the migration requirements for your application. Also, you have to check which services you want to migrate. Legacy application migrations are time-consuming and require a lot of maintenance. They also need specialized developers who cost more, so you need to define what you’ll do with legacy software. Perhaps, the most convenient path is to update that application and then migrate it or embrace a new cloud-based application altogether. 

Conclusion

The process of application migration can be tricky and stressful. You have to plan your infrastructure and make sure test execution is cost-optimal. After testing, you should monitor and analyze the results and ensure that you’re getting actual benefits from migrating to the cloud. 

You should also have the management capabilities available to ensure that the new work can be managed after the migration. You should have dedicated resources to manage your cloud stack and for maintaining the new infrastructure. 

Cultural and process changes can be included in KT sessions for developers. Early adopters can teach their peers, and SMEs may be designated to help out the team. Coordination glitches and issues should be identified and notified to the manager quickly. Swift and prompt action from the employees can be the difference between a successful migration and an unsuccessful one.  

As you can see, the challenges are many and diverse but with the proper cloud engineering team by your side, you’ll be able to do so successfully and reap the benefits of the cloud. 

The Datafloq Team publishes news and analysis on data, AI and emerging technology.

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