Don’t miss Finabank’s journey at Perform 2025! Discover how they boosted transaction performance by 300% and transformed POS payments.

Refining performance testing for an authentication page with Gatling workload modeling, realistic scripts, and in-depth analysis.

GoBenchmark simplifies performance engineering with AI-driven insights, scoring, and remediation plans for smarter system management.

Simplify Dynatrace configuration management with Composer. Automate backups, track changes, streamline deployments, and optimize monitoring.

Learn essential T24 core banking health checks to ensure system stability, security, and efficiency.

Discover how to become a Performance Engineer, mastering testing tools and skills to ensure systems run smoothly under any load.

Discover how load testing ChatGPT with Gatling and Java improves performance and prepares AI systems for real word use

When banks migrate to new core banking releases or publish new products, their main concern is the reliability of their platform.

Generative AI, a versatile form of artificial intelligence, is not limited to data analysis.

Discover how performance testing can prevent slowdowns and crashes to ensure a seamless shopping experience

Within six months, Finabank transformed into a performance-first enterprise. This transformation benefited both clients and bank staff.

Performance engineering for LLMs involves evaluating their efficiency, accuracy, and scalability

How fast is fast enough, why does it matter, and by what standards? Questions like these dominate requirement-gathering conversations.

Five Lessons every Performance Engineering should know about Database Performance Tuning

Close of Business (COB) processing is mission-critical. Long processing times set the Bank's opening times for the following day at Risk.

New Features in Temenos Transact Release 24

This success story shows that the integration of performance engineering effectively identifies and solves performance problems.

DLM, Archival, and indexing are the traditional approaches to AA performance tuning

Instead of relying on the ancient action-observe-think technique, we propose a more intelligent approach: observe-think-action.

The best way to minimize I/O operation latency is to spread VM deployment across multiple data stores.