Apart from testers, performance engineers and product owners too can contribute to quality assurance. Of these three roles, the performance engineers sustain collaboration among teams, tools and processes through continuous feedback loops. Performance engineering is all about adopting the best tools and practices to ensure that the product is optimized. This means incorporating the right business use cases, choosing the right software architecture, UI/UX design, code structure etc. It is essential for performance engineers to be involved in all the stages of the systems development life cycle (SDLC) to create a quality assurance culture within the development framework. With the best technologies and time tested industry standards in place, it is difficult to go wrong with performance engineering. Performance engineering can sometimes be confused with performance testing which is a quality assurance process. Product engineering services covers the entirety of a product’s life cycle, whereas performance testing is done after the conception of the product. While the former is a way of ensuring quality throughout the SDLC, the latter is a separate step which ensures that the performance of the application is up to mark. Performance engineering done right can ensure your business growth since the application is optimized to industry standards and effective in achieving your business goals. Here are eight performance engineering practices to follow while developing a product.
1. Wise use of caching: Caching is necessary, but you should cache different data for different amounts of time on the basis of its size, the time it takes to get altered, and how frequently it is accessed. It is mandatory for you to choose the appropriate caching technology or mechanism.
2. Less server round trips: Minimizing the number of hits to the server during an operation creates efficiency and saves time. For example, operations such as loading data or execution of a set of operations.
3. Memory prudence: Sticking to the Acquire Late Release Early’ principle while using memory-critical system resources will be beneficial in the long term. Examples include opening web/DB connections, creating IO streams, and determining the data required for the current page and request and loading appropriately.
4. Lazy or asynchronous processing: Make the habit of reducing the amount of workload for a single request by opting to delegate to a background process. You can also achieve this by making an external system’s processing asynchronous or processing it later.
5. Selective remote invocations: To reduce time and resources, use remote invocations selectively and wisely. Remote invocations are expensive and have great impact on you systems’ performance.
6. Frequent code profiling: Performance testing tools like SQL profilers and code profilers can help you benchmark your application’s performance and using them can save you considerable time. In addition to that, you can deploy some code analysis tools simultaneously and ensure that your code passes through all performance parameters in your project.
7. Audit performance: Tracking and monitoring performance related data at certain parts of the code consistently can help you avoid sudden disruptions in operations and make progress.
8. Benchmarking the product for performance: You have to test your software application periodically with large quantities of data and utilize appropriate tools to benchmark your application for performance.
Performance engineering is a proven way to improve your product quality on par with industry expectations. It is rooted in the software development life cycle and helps you build a future-proof system that is compatible with your business goals.
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