Summary
In this chapter, we have gone through the complex terrain of scaling high-performance trading systems to handle increasing volumes and complexity. We began by understanding the need for scalability, considering factors such as growth in trading volume, data complexity, user expectations, and regulatory needs.
Key strategies for scaling were thoroughly explored. We went into vertical versus horizontal scaling, discussing the advantages and limitations of each and when to apply them. The importance of data partitioning and load balancing was highlighted, emphasizing their roles in efficient system performance.
The implementation of distributed systems was discussed, focusing on real-time data distribution, order-matching engines, and the use of distributed ledger technology. We emphasized the role of microservices architecture in achieving scalable and resilient systems.
We covered best practices for scalability, ensuring systems are designed to adapt and evolve. The...
