Towards A Governance-centred Conceptual Framework for Performance Engineering of Cloud-native Electronic Financial Trading Systems
TL;DR
A governance-based perspective for performance engineering in electronic trading systems focused on governance, feedback and evidence in terms of four dimensions: latency-aware scalability, transaction-centred observability, risk-based resilience and operational reliability in electronic trading systems is developed.
Abstract
Financial Companies, Banks and Securities Brokers are changing their trading applications with Cloud technologies like Automated CI CD pipelines, Scalable Infrastructure, so that they can do rapid development, easy deployment provide robust and fast applications.. But they also come with new risks: runtime variability and distributed failures. For trading, this transition is particularly difficult. Cloud-native systems are dynamic and change-driven; trading platforms need predictable latency, continuous availability, auditability and disciplined control over your business. Research on cloud-native computing has provided us with valuable knowledge about service decomposition, orchestration, observability and scalability, but most of that research is on enterprise workloads. On the other hand, the studies of trading systems are based on low latency infrastructure, market microstructure and execution speed and do not take into account the operational realities of cloud-native. In this paper, we will aim to bridge this gap by developing a governance-based perspective for performance engineering in electronic trading systems. We focus on governance, feedback and evidence in terms of four dimensions: latency-aware scalability, transaction-centred observability, risk-based resilience and operational reliability in electronic trading systems. The research-oriented model is intended to inform future empirical testing and to make trading systems scalable, observable, resilient, reliable and auditable in the future.