How TradeLocker scaled seamlessly with zero downtime and total cost visibility
Meet TradeLocker
TradeLocker is a global Contract for Difference (CFD) trading platform that enables real-time access to Forex, indexes, metals, and international equities. Its infrastructure bridges brokers and financial markets, meaning uptime isn’t just critical; it’s non-negotiable. A single second of downtime can translate to missed trades and real financial loss for users across the globe.
The Challenge
TradeLocker’s early success led to rapid adoption by brokers, putting immense pressure on its infrastructure to scale. The team initially hosted on Equinix with physical servers, but couldn’t scale fast enough to meet demand. A move to AWS helped regain agility, but introduced a new problem: the team had no visibility into their cloud spend. Without a formal FinOps practice, the team couldn’t confidently track where resources were being consumed or how to optimize them.
“We can’t afford even a second of downtime. That means we also can’t afford poor visibility into cost or performance,” shared Matej Serbec, CTO at TradeLocker.
The Solution
Leveraging DoiT gave TradeLocker access to powerful tools and expert insight, starting with the DoiT Cloud Intelligence™ platform. The team began using the DoiT console daily to build budgets, monitor spend, and set alerts. These capabilities enabled engineering teams to take full ownership of their cloud usage, instilling a stronger culture of financial accountability across the company and empowering engineers to take direct ownership of their infrastructure footprint and decisions.
A major breakthrough came with the implementation of DataHub, DoiT’s powerful feature for centralized cost intelligence. TradeLocker used DataHub to aggregate spend data across a wide array of tools, from AWS and OpenAI to Jira, Slack, and other essential services. This gave the team a single, unified source of truth for all cloud and SaaS-related expenses, eliminating silos and enabling a far more comprehensive understanding of their operational footprint.
With this visibility, TradeLocker was able to distinguish between direct and indirect costs and track how each one scaled with user growth. The team could finally calculate cost-per-user, a previously unattainable metric, which became foundational in how both engineering and business teams made decisions around infrastructure, pricing, and future growth strategies.
“Tagging and reporting allowed our teams to understand their spend and take action. Without a FinOps team, that kind of visibility was game-changing.” — Matej Topolovec, SRE Lead, TradeLocker
The Results
With DoiT, TradeLocker moved from reactive cost control to proactive infrastructure intelligence. The ability to track, allocate, and forecast usage enabled it to support rapid growth without compromising performance. More importantly, the team unlocked operational confidence, scaling its infrastructure without downtime and with a clear handle on cost efficiency.