Open Source in Finance Forum New York 2024

As applications evolve from monolithic to distributed systems, teams must comprehend the path of each transaction across various systems to assess each system's performance. This is critical in financial systems where transaction speed directly impacts financial outcomes and customer experience. However, a key concern is determining the optimal level of observability for applications. Injecting excessive observability elements into the code can potentially degrade application performance and added risk of sensitive data exposure. How can one decide what to monitor without compromising application performance? This talk explores the challenges of instrumenting high-throughput, high-performance applications without compromising their performance. It also addresses strategies for maximizing system observability to swiftly pinpoint root causes of issues, while managing the risks associated with implementing intricate observability solutions, including potential exposure of sensitive data