Advanced Guide: Building Ultra-Low-Latency Crypto Trading Infrastructure With Colocation Services

On March 17-18, 2025, Kraken announced a groundbreaking colocation service partnership with Beeks Exchange Cloud, bringing institutional-grade, ultra-low-latency trading infrastructure to cryptocurrency markets for the first time. For advanced traders seeking sub-millisecond execution times, this development opens a new chapter in crypto trading infrastructure. This tutorial walks you through the concepts, prerequisites, and practical steps for leveraging colocation services in your cryptocurrency trading operations.

The Objective

Colocation in financial markets refers to the practice of placing your trading servers physically close to an exchange’s matching engine — ideally in the same data center. In traditional finance, firms like Citadel, Jump Trading, and Virtu spend millions on colocation to gain microsecond advantages in price discovery and order execution. Kraken’s partnership with Beeks brings this capability to crypto for the first time, promising sub-millisecond latency for traders connecting from major European hubs like London.

The objective is straightforward: reduce the time between your trading signal and your order reaching the exchange’s order book. In a market where Bitcoin trades at $82,718 with 24-hour volumes exceeding $24 billion, even a few milliseconds of latency can mean the difference between catching a price movement and missing it entirely. For arbitrage strategies, market-making operations, and high-frequency trading, colocation is not a luxury — it is a requirement.

Prerequisites

Before setting up colocation infrastructure, you need several components in place. First, a funded Kraken account with API access enabled. You will need to generate API keys with trading permissions and configure IP whitelisting for security. Second, a trading algorithm or strategy that is optimized for low-latency execution. Colocation amplifies both good and bad strategies — a faster bad strategy still loses money, just faster.

Third, familiarity with WebSocket and FIX protocol connections. Kraken’s colocation service supports both, and understanding how to establish persistent connections with minimal overhead is critical. Fourth, a budget for infrastructure. While Kraken and Beeks have emphasized accessibility and fairness in pricing, colocation services involve renting cloud compute from Beeks’ Exchange Cloud platform or installing physical hardware at Kraken’s European data center.

Fifth, risk management infrastructure. Low-latency trading amplifies risk as much as it amplifies opportunity. You need automated circuit breakers, position limits, and loss thresholds that can operate at machine speed without human intervention.

Step-by-Step Walkthrough

Step 1: Evaluate your current latency. Before investing in colocation, measure your existing round-trip times to Kraken’s API endpoints. Use tools like ping, traceroute, and Kraken’s own API status page to establish a baseline. If your current latency is under 50 milliseconds and your strategy does not depend on microsecond advantages, colocation may not provide significant benefits.

Step 2: Register with Beeks Exchange Cloud. Visit the Beeks website and create an account for their Exchange Cloud service. Select the data center location that corresponds to Kraken’s European infrastructure. Beeks offers both virtual machines and bare-metal servers, with the latter providing the lowest and most consistent latency.

Step 3: Deploy your trading stack on the colocation server. This typically involves a Linux-based server running your trading algorithm, a market data handler that subscribes to Kraken’s WebSocket feeds, and an order management system that connects to Kraken’s trading API. Use lightweight frameworks optimized for speed — C++ and Rust are preferred over Python for latency-critical components.

Step 4: Optimize your network configuration. Disable Nagle’s algorithm (TCP_NODELAY) to prevent packet batching delays. Use kernel bypass techniques like DPDK or io_uring for ultra-fast packet processing. Configure your network interface card to use multiple queues and distribute interrupts across CPU cores.

Step 5: Implement monitoring and alerting. Deploy real-time latency monitoring that tracks the time from market data receipt to order submission. Set alerts for latency spikes, connection drops, and error rates. Kraken’s colocation service is designed for reliability, but any infrastructure can experience issues, and you need to detect and respond to problems within milliseconds.

Step 6: Test thoroughly in a simulated environment before going live. Use Kraken’s sandbox or testnet environment to validate your trading infrastructure. Simulate high-volume scenarios, network interruptions, and failover conditions. Only deploy to production after achieving consistent, reliable performance in testing.

Troubleshooting

Common issues with low-latency trading infrastructure include jitter (inconsistent latency), which is often caused by operating system scheduling. Pin your trading process to dedicated CPU cores using taskset or cgroups to prevent the OS from migrating your process between cores. Disable CPU frequency scaling and turbo boost for more consistent performance.

Network congestion is another frequent problem. Even on a dedicated colocation server, background processes can generate network traffic that competes with your trading data. Strip your server installation to the minimum required services and disable all unnecessary network activity.

API rate limits can also cause unexpected behavior. Kraken’s API has specific rate limits that vary by endpoint and account tier. Monitor your API usage carefully and implement request queuing to stay within limits. Colocation reduces network latency but does not change the exchange’s rate limiting policies.

Mastering the Skill

Colocation is the beginning of professional-grade trading infrastructure, not the end. As you become comfortable with low-latency execution, explore advanced topics like cross-exchange arbitrage infrastructure, where you maintain colocation connections to multiple exchanges simultaneously. Investigate FPGA (Field Programmable Gate Array) acceleration for order book processing, which can reduce latency to nanosecond levels.

Kraken’s colocation service represents a significant step in the maturation of cryptocurrency markets. By making institutional-grade infrastructure accessible to individual traders, Kraken and Beeks are leveling the playing field and pushing the entire industry toward the performance standards of traditional finance. For traders willing to invest the time and resources, the opportunity to compete on speed has never been more accessible. The race is on.

Disclaimer: This article is for educational purposes only and does not constitute financial or trading advice. Trading cryptocurrency involves significant risk. Always test thoroughly before deploying any trading strategy with real funds.