This is the first online performance engineering training for developers, architects, QA, and test engineers. The Performetriks team will share their collective experience from real projects and educate your team on how to write high performance applications. This training fits perfectly into the shift left philosophy and attendees will learn how to avoid many performance pitfalls.
The Performetriks performance engineering training platform provides insights to many performance anti-patterns. The team will discuss all of them and educate attendees on how to avoid such hot spots going forward. The screenshot below highlights how Performetriks guides your team through this training. They share their experiences on how small mistakes can result in massive performance slowdowns by demonstrating good and bad coding practices, executing both statements, measuring response times, and presenting the processing times to attendees.
Front-end Development for Performance
Developing modern web applications can be a massive front-end programming challenge. Their training provides more than 20 best practices on how to avoid front-end performance anti-patterns.
Back-end Development for Performance
Fast and reliable services are a must for providing the excellent user experience. From a performance perspective, developers can run into many pitfalls when implementing back-end services. Exception handling, handling data structures, and many more challenges have a massive impact on response times. Their raining provides excellent insights into back-end coding related performance issues. Having the required knowledge and avoiding performance issues can improve performance by a factor of 100 or more.
General Coding for Performance advice
Algorithms are at the core of our business applications. Developers are focusing on making applications work and gradually run into coding pitfalls, which can result in massive performance slowdowns. Their training helps to build awareness of how to avoid classic coding for performance mistakes.
Testing for Performance
Coding for performance helps to avoid common anti-patterns and improves software quality. Your testing team executed their test cases, but they can’t verify how your application behaves until it’s been hit with real production volumes. Only load and performance testing can allow you to simulate thousands of concurrent user on your new application and prove if performance is within agreed boundaries.
Monitoring for Performance
After deployment of a new application to production, it’s important to say proactive. You need insights about end-to-end performance and availability of your most important business cases. Continuous performance monitoring in production allows you to mimic real user actions. If performance or availability is not within agreed boundaries, a notification is sent out to your preferred communication channel to make sure that your teams can fix those issues before your customers are impacted.