Case Study: Credit Suisse achieves 6x trading throughput and predictable SLAs with Azul Systems

Credit Suisse Powers Trading Revenue Growth With Azul

Credit Suisse, a global banking and financial services firm, faced rapidly doubling trading volumes that were outstripping the capacity of its mission‑critical Java applications and threatening revenue, SLAs and regulatory exposure. To avoid costly re‑architecture and added IT complexity, Credit Suisse turned to Azul Systems and its Azul technology (the Azul JVM) to boost Java performance without disruptive changes.

Azul Systems implemented its Azul JVM with Pauseless Garbage Collection and support for very large heaps, giving the bank predictable, low-latency Java performance and far greater scalability. As a result, the Fixed Income trading application scaled from 1,000 to 6,000 trades per second, another trading app improved from 8 users at 24s response to 88 users at ~2s, the bank reduced operational complexity and TCO, and faster reporting helped avoid millions in regulatory penalties.

Credit Suisse