When an application is performance efficient, it runs effectively without consuming too many hardware resources. This can help optimize the IT budget in a lot of different ways:
1. Fewer resources to run the application: The optimized application uses fewer resources to perform the tasks resulting in direct savings in the cost
2. Improved productivity: By providing users with faster, responsive applications that work consistently well, the business can improve its productivity and user experience.
3. Lower maintenance costs: Performance efficient applications can help reduce downtime and system failures, which are costly in terms of lost productivity
4. Better resource allocation: Lower system failures enable the IT team to achieve newer goals.
How to build a performance efficient application? Is there a set of rules that software teams can follow?
Well, building performance efficient applications involves several factors, let's understand.
1. Choose the right architecture: The right architecture makes a significant difference in the performance of an application. Make sure to understand the functional and non-functional requirements of the application, before making a decision on the architecture. Architecture should be maintainable, secure, and efficient to fulfill present needs plus scalable as per future needs.
2. Use appropriate tools and technologies: Choosing the right tools and technologies to build your application is crucial. For example, use RDBMS in case the application will have transactional data and in case the data is unstructured NoSQL is the choice.
3. Leverage caching: Use caching to store frequently accessed data. There are a lot of caching techniques depending on the use case like DB caching to store frequently accessed data in memory for retrieval, use of CDN to deliver static resources (like js, icons, css) faster. This can help reduce the time taken to access data from disk, resulting in faster application performance.
4. Performance Testing: Performance testing should be done to make the application robust. Finding and fixing the bottlenecks in the application not only increases the speed of the application but also reduces the hardware cost and improves the user experience.
5. Performance Optimization: Use efficient data structures, use efficient algorithms that have a low time complexity, avoiding redundant operations. This can help reduce the time taken to process the data, resulting in faster application performance and optimal hardware utilization.
Above are the generic factors applicable widely to any software application.
Moreover, to optimize further application specific use cases can be targeted and a granular approach can be taken like running the performance tests on specific workflows that are slow and analyzing the root cause of the slowness and/or monitoring the application component which is consuming more hardware capacity.
The SpeckyFox team helped the clients to optimize their applications by
1. Running different performance tests
2. Analyzing the performance results and server stats
3. Doing the root cause analysis of the bottlenecks
4. Giving optimization suggestions
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