2024 top performance engineering trends are focused on scalability, security, standardization, flexibility, AI and machine learning, and mobile device testing, with a shift towards centralization and governance to meet the needs of both small and enterprise companies.
In this episode of The Performance Tour, we talk to Mike Staten about what we’re seeing across many companies with regards to performance engineering trends and talk about how the conversation is changing.
π Standardization and flexibility in performance engineering tools are becoming more important, with a shift towards a COE model and a focus on quality management to save time and money while addressing security risks.
π‘ Cloud hosting non-performant applications can result in significantly larger bills, and legacy protocols and load testing tools are still necessary in the era of HTTP.
π Flexible and scalable tools are essential for application delivery management, with a trend towards centralization and governance to meet the needs of both small and enterprise companies.
π AI and machine learning will play a bigger role in engineering, with a focus on ease of use and potential for self-healing scripts in the future.
π± Mobile device testing is the focus in performance engineering, with a shift from traditional website testing to testing on various devices, and addressing performance issues in manufacturing and warehouse management devices can improve speed and efficiency.
π Performance engineering trends continue to expand, covering AI, mobile, internet of things, and centralization, with a request for feedback on future trends.
Video Insights on 2024 Performance Engineering Trends
π₯ The need for performance engineering increased as things broke during Black Friday’s and other high-traffic events, making it more of a necessity than a luxury.
π Larger enterprise organizations are concerned about security risks posed by individual teams using their own tool sets, leading to potential breaches and lack of support and maintenance.
π§ The shift towards standardization and flexibility in performance engineering tools is crucial for success in the industry.
π€ Hosting non-performant applications on cloud hosts can lead to unexpectedly large bills, costing millions in seconds.
π Flexible and scalable tools are the key to success in application delivery management.
π€ AI and machine learning will play a bigger part in software development, potentially leading to self-healing scripts and easier performance testing in the future.
π The old school days of just sitting around looking at a website and testing are gone, as the focus now is on how things function on mobile devices and whether they are scalable.
Make sure to check out this video about performance engineering trends, too.
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