Flow Control in Low-Latency Systems: Batching, Conflation, and Backpressure

Posted on Sat 10 January 2026 | Part 3 of Low-Latency Fundamentals | 15 min read

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Low-latency systems fail when work becomes unbounded. Batching, conflation, and backpressure are mechanisms that keep systems stable under bursty, adversarial load. Without them, tail latency and cascading failures are inevitable.


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Observability at Scale: Distributed Telemetry for Modern Trading Infrastructure

Posted on Sat 13 December 2025 | Part 4 of Distributed Systems in Finance | 22 min read

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How do trading systems observe themselves in real time? This article breaks down the telemetry architecture that keeps distributed systems visible under extreme latency pressure.


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How Exchanges Turn Order Books into Distributed Logs

Posted on Sat 06 December 2025 | Part 1 of Market Microstructure & Global Systems | 22 min read

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Every modern exchange is a distributed database in disguise. This article reveals how trading engines transform chaotic streams of buy and sell orders into a perfectly ordered, replayable log, ensuring fairness, determinism, and market data reliability.


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Latency Profiling in Python: From Code Bottlenecks to Observability

Posted on Sat 29 November 2025 | Part 2 of Low-Latency Fundamentals | 19 min read

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Learn how to pinpoint where time disappears in Python systems, from CPU and I/O bottlenecks to Prometheus metrics and continuous profilers. Explore the tools that turn raw measurements into observability dashboards revealing real performance patterns.


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Understanding Latency: From Wire to Code

Posted on Sat 15 November 2025 | Part 1 of Low-Latency Fundamentals | 12 min read

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Every microsecond counts, but where do they actually go?

This article traces the hidden journey of a message from the network wire to the application's code, revealing how the NIC, interrupts, syscalls, and runtimes introduce delay at every hop.


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Dissecting the Infra of DeFi Protocols

Posted on Sat 08 November 2025 | Part 2 of DeFi Engineering | 15 min read

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Most DeFi discussions stop at smart contracts. This article goes deeper: through the data pipelines, executors, keepers, and coordination layers that make protocols run. If you're a software engineer, you'll see how DeFi architecture mirrors the systems you already know.


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What Database Scaling Looks Like When Milliseconds Mean Millions

Posted on Sat 01 November 2025 | Part 3 of Distributed Systems in Finance | 12 min read

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Financial systems process billions of time-series data points with sub-millisecond query requirements: constraints that break traditional databases.

Learn the architectural patterns that actually work: vertical scaling strategies, intelligent sharding schemes, and why market data demands different trade-offs than web applications.


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Introduction to DeFi Engineering

Posted on Thu 23 October 2025 | Part 1 of DeFi Engineering | 14 min read

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An introduction to the engineering landscape in DeFi protocols: the distinct engineering roles (protocol, infrastructure, execution), the complete technology stack from smart contracts to off-chain systems, core primitives like liquidity pools and oracles, and what makes building in this space fundamentally different from traditional fintech.


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How to Build Execution Systems for Crypto Trading at Scale

Posted on Sun 12 October 2025 | Part 3 of Building Real Trading Systems | 35 min read

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How do you execute $100M orders across 10+ crypto exchanges without moving the market? This deep-dive covers the infrastructure behind institutional trading systems: market data pipelines, smart order routing, execution quality metrics, and building for failure.


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Ring Buffers 101: The Building Block of Low-Latency Systems

Posted on Sat 04 October 2025 | Part 4 of Low-Latency Fundamentals | 12 min read

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An introduction to ring buffers, a foundational data structure for low-latency systems. We'll cover how they work, why they're fast, common variants, and practical use cases in real-time applications.


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