New Tactics Emerge in On-Prem vs. Cloud Debate
The on-prem vs. cloud latency debate is getting more nuanced. A new guide for Solana traders explores bypassing public endpoints and minimizing network hops, while a case study on price pipelines highlights event-driven architectures. These crypto-native and engineering-focused tactics offer fresh perspectives for optimizing both environments.
Kernel bypass techniques are central to minimizing latency, allowing applications to access network hardware directly and skip the operating system's kernel. This approach avoids the typical processing overhead and delays of the kernel's network stack, which is crucial for handling the high-volume microbursts of market data that can exceed 1 million packets per second. Technologies like the Data Plane Development Kit (DPDK) and Remote Direct Memory Access (RDMA) enable applications to poll network interface cards directly for new data. This eliminates the latency introduced by system calls and context switching between the kernel and user applications, a process that can add 20-50 microseconds of delay in traditional systems. Field-Programmable Gate Arrays (FPGAs) push performance even further by moving execution from software to hardware, enabling decision-making in nanoseconds. FPGAs can be programmed for specific tasks like decoding market data feeds (e.g., ITCH or OUCH protocols) and executing trading logic directly on the chip, significantly reducing jitter and providing deterministic performance. Event-driven architectures are critical for building responsive and scalable trading systems. Using platforms like Apache Kafka, financial applications can process and react to streams of events—such as price updates or trades—in real time, moving away from slower, traditional batch processing. A recent analysis showed that 76% of financial institutions have started transitioning to such real-time processing systems. The on-prem versus cloud distinction is becoming less rigid as cloud providers introduce specialized services. AWS Local Zones, for example, place infrastructure closer to major financial centers to reduce geographic latency, making it feasible to host trading systems requiring sub-millisecond exchange access in the cloud. This allows firms to blend the low-latency benefits of proximity with the scalability of the cloud. This drive for infrastructure modernization is a constant competitive pressure. Morgan Stanley previously completed an 18-month overhaul of its electronic trading platform to cut microseconds from its systems, improving its ability to capture available shares on exchanges. This continuous investment in shaving fractions of a second is a key theme across top-tier financial institutions.
