Adding cloud to high performance trading infrastructure offers the benefits of scalability, faster development, and lower capex costs – but can it meet required speeds of data delivery, does it limit the extent of available data, and how can low-latency data be sourced in the cloud? Still more, is it feasible to run a complete low-latency trading system in the cloud?
We joined TradingTech Insight to answer these questions and more, covering everything from the decision to add cloud to high performance trading infrastructure to the drivers of change, the challenges of implementation, and using cloud to source and deliver low-latency market data.
As data volumes proliferate, companies seek new ways to consume information reliably.
The pandemic has accelerated cloud adoption across the finance industry, with many firms pursuing multi-cloud set-ups to help achieve more diverse capabilities, bolster resiliency and prevent vendor lock-in. Alongside speakers from ITRS Group and Megaport, we explored the opportunities and challenges associated with multi-cloud set-ups.
The advantages of cloud computing for financial services firms are well understood — instant scalability, improved resiliency and cost. But downsides remain for the public cloud: jurisdictional and regulatory issues, data security and privacy concerns. Many institutions are turning to a blended solution to address these concerns, using the strengths of both private and public cloud computing.