Table of contents
About the client
OTI Capital is a quantitative hedge fund with leading-edge trading technologies at the forefront of the financial industry.
By specialising in sophisticated algorithmic trading strategies, they merge finance and artificial intelligence to optimise investment outcomes. As a dynamic powerhouse converting data into actionable insights, OTI Capital offers their clients a strategic edge in finance’s fast-paced realm.
Business challenge
Our client had a working on-premises system investing in the capital markets, developed in house and stored on internal servers. Migrating to the cloud would make it possible for OTI Capital to obtain further funds from existing and potential investors interested in the system. It would also mean more flexibility, scalability, and availability, along with significant cost reductions and improvements in the system’s reliability and performance.
From the very beginning, the client emphasised the importance of fast delivery time, as they saw opportunities to receive funding in the near future. OTI Capital had specific business objectives to meet within a closed timeframe. For this reason, the development of the architecture in Azure Cloud was prepared on a business-first basis – we focused on the basic requirements to secure the funding, and then moved on to organising the process according to DevOps best practices.
Consulting and trustworthy partnership
From the start, we built a strong advisory relationship with OTI Capital, working closely to support their growth and technological advancements.
Our DevOps Architect conducted a thorough analysis of the existing system, identifying suitable Azure services and designing a new infrastructure architecture aligned with best practices. Operating in a DevOps-as-a-Service model, our team provided strategic guidance on cloud migration, security and compliance, and continuous performance optimisation.
Security was a top priority due to the proprietary nature of OTI Capital’s AI trading algorithms. The system originally ran on Windows-based containers and had to be migrated to a Linux-compatible, high-availability Kubernetes setup to ensure optimal performance and scalability.
After presenting the recommendations, the client approved the plan, and we proceeded with the migration. Trust remains the foundation of our partnership – whenever the client needs expert advice, we are ready to support their evolving needs.
Project results
After the full migration to Azure, OTI Capital now benefits from a fully cloud-based infrastructure covering the Development, Staging, and Live environments.
The new architecture, built on modular and reusable Kubernetes components, ensures optimised costs through efficient resource allocation, high availability with self-healing clusters, and advanced security measures that meet the standards of the financial industry.
Automated monitoring with Grafana, Prometheus, and Azure Monitor provides full observability, allowing our experts to respond immediately to any incidents.
With the environment stabilised, we continue to drive further development, automation, and optimisation. A DevOps Engineer has joined the team to enhance the infrastructure, while our experts proactively recommend improvements to support future growth and scalability.
When I have new projects on my mind, I don't even look for another tech partner. Future Processing delivers so well that I have no need to look. I prefer to work with people I know, and I’m sure they will do a good job.
Looking to the future
We are now preparing to provide 24/7 operational support, ensuring the system’s availability during the US market hours and enabling real-time automated notifications and reports.
Future enhancements will further streamline the software development process, bringing greater flexibility and efficiency. The target architecture will feature multiple independent environments running on different Azure subscriptions, connected through unified access management and an extensive observability system operating as an independent service.
Planned improvements include increased automation in deployments and scaling strategies, AI-driven observability for predictive maintenance, and enhanced DevOps pipelines to accelerate feature rollouts.
Technologies used in the project
