The way companies do business is changing fast with new technology trends like IoT and SMAC (Social, Mobile, Analytics, and Cloud). Though a lot of investment has been made to develop new products using these new technologies, it’s hard to guarantee their scalability, speed, and stability. To stay ahead in the highly competitive market, it has become important to meet customer demands fast and offer them a seamless amd superior experience.
At the same time, assuring quality performance is also crucial since poor or disrupted or inconsistent performance will reflect badly on the brand and may drive customers away from your business to your competitors. Losing brand image and customer loyalty this way would not only mean the loss of revenue but would also make it tough to get your reputation back. Since you need to bring quality products to the market fast, choosing the right processes, tools, and skills to leverage them is important.
With performance testing, you can ensure your products meet the desired levels of speed, scalability, and stability. In the case where mission-critical applications are concerned (such as life-saving medical equipment, space launch programs, etc.), performance testing becomes crucial to ensure their steady performance in the long run without deviations.
Performance testing can help in the following forms.
Faulty codes or hardware issues often cause performance bottlenecks when the system is under certain loads. With load testing, you can identify and fix the problem before taking your product to market.
Under unfavorable circumstances (like when your system faces memory leaks or synchronization issues), system crashes, errors, or service denial may happen. With stress testing, you can assess the ability of your program, device, or network to maintain effectiveness at a particular level even when the circumstances are unfavorable.
It’s done as part of load testing to ensure the product is capable of handling the anticipated load in the long run.
Being subjected to sudden spikes in heavy load can make your product perform slowly, show security loopholes, or cause data corruption. With spike testing, you can determine these instances.
As your business expands, your database, workload per user, and the amount of users will grow, as well. Your system should be able to scale up to meet these changes. How ready it is to handle such changes is tested with scalability testing, which lets you plan capacity additions to your system, should you need it.
Your system or application shouldn’t buckle under varying database volumes. Volume testing, by populating the database with a huge volume of data, ensures that the performance and behavior of your overall system are monitored.
Your app or product should be user-friendly. Right from the layout and navigation to the ease and speed of accessing content, everything should make the user comfortable and satisfied. That’s what exactly this test ensures.
Interoperability and Compatibility Testing
Your software or app should exist in harmony with other supporting products and run well with different hardware, networking, and software configurations that are identified as compatible combinations. Since businesses these days work with various external devices, software, and applications, this test is crucial to ensure your product interacts and functions as expected in varying environments with variable software and hardware components.
Performance Testing in the Cloud
Testing applications and systems at scale and on a global scale at cost-effective rates is made possible by cloud-based testing. By getting access to on-demand test environments, you can lower testing costs, detect bottlenecks early, and decrease time-to-market and development costs. With a cloud-centric approach, you can test both production and internal applications easily and in a setting that’s designed to imitate realistic deployment conditions.
Performance Testing and Engineering (PTE)
As there’s a shift from traditional models to agile and continuous delivery, PTE helps deliver future-ready systems with high availability, responsiveness, and scalability. It helps in:
- Identifying issues early on in the performance lifecycle.
- Resolving bottlenecks for better application performance.
- Delivering high quality despite decreasing budgets.
- Performance optimization of new and varying products, platforms, and devices and technologies.
- Optimizing the present infrastructure’s performance.