All Case Studies
Leveraging BlazeMeter / Jmeter In GCP For An Effective Performance Testing Solution
Bitwise assisted a leading payment services company to optimize performance using BlazeMeter/JMeter and Google Cloud Platform, simulating heavy user loads and providing comprehensive performance feedback to identify bottlenecks and areas for improvement in the application performance.
IMPROVED USER EXPERIENCE
In today digital age, payment services companies must ensure that their applications can handle heavy loads while maintaining optimal performance. A leading payment services company faced challenges with continuous and rapidly growing user loads and a lack of awareness of best practices in a cloud environment. They required a performance testing solution that could provide feedback on performance monitoring while simulating heavy user loads on the application. Bitwise, a leading provider of digital transformation services, leveraged BlazeMeter/JMeter on the Google Cloud Platform (GCP) to derive effective performance testing solutions. As a result, timely optimization and tweaks were made to the application code to handle the desired user load.
The client required a testing solution to evaluate Performance Monitoring and simulate realistic user loads.
- The client’s app faced continuous and rapid user growth, needing a load-handling solution and performance feedback.
- They sought to identify and address bottlenecks impacting app performance and get comprehensive reporting on the server.
- The client lacked benchmark results, processes, and knowledge of best practices in a cloud environment to evaluate and optimize app performance.
- Bitwise created a comprehensive performance test plan that covered a variety of parameters to evaluate the application performance under different scenarios. This included load testing, stress testing, endurance testing, and volume testing.
- Our experts used Blazemeter / JMeter to generate distributed loads focused on different regions due to the global presence of the client. This allowed for realistic user loads to be simulated and evaluated in a distributed environment. Throughout the performance test, our experts not only monitored application server statistics but also focused on performance server (tool side) statistics. This approach facilitated effective analysis of issues, whether they were related to the application or the performance testing tool itself.
- By designing scalable load patterns, we covered different testing scenarios, such as Load, Stress, Endurance, and Volume. These load patterns allowed for the application’s performance to be evaluated under different loads and conditions.
- Disaster Recovery plan: Bitwise developed a Disaster Recovery plan that leveraged load shift to different servers on the cloud. This allowed for the application to be tested in different environments, including backup and recovery scenarios.
- Our qualified team of engineers standardized the Performance Cadence process across multiple teams to ensure that the testing process was consistent and efficient. This helped to streamline the testing process.
- We provided comprehensive documentation of the results and implemented a verdict-driven sign-off process to ensure that it aids the decision-making process for the client. By doing so, we ensure that the client is well-informed of any open issues and risks associated with the performance of the application.
Ultimately, by investing in performance testing, we helped the client to provide a better user experience, minimize downtime, and ultimately achieve their business goals.
- Cost-effective solutions and effective technology usage: The performance analysis conducted by Bitwise helped identify bottlenecks and areas for improvement in the application’s performance. By optimizing the application performance, the client was able to achieve more with their existing infrastructure. Additionally, the use of tools like Blazemeter/JMeter allowed for efficient testing and reduced the overall cost of testing.
- Bitwise created performance scripts to test the Load Balancing and Disaster Recovery aspects of the application. This helped to ensure that the application could handle high volumes of traffic and maintain its performance during peak usage periods. By identifying and addressing potential issues before they arose in production, the client was able to avoid downtime and ensure that their customers had a positive experience using the application.
- Our talented team generated custom dashboards to provide the client with effective performance monitoring metrics. By consolidating all key results, defects, and statistics from the performance tests into these custom results dashboards, Bitwise was able to derive a verdict. This verdict helped the client decide whether to move the code to production or take a step back and fix the application code before proceeding to production. Ultimately, this led to an enhanced and stable user experience.
TOOLS AND TECHNOLOGIES USED
SAMPLE PERFORMANCE REPORTING METRICS