Tag archive

#low-latency

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9 articles

Bypassing the Kernel: User-Space Networking for Sub-Microsecond Performance

Bypassing the Kernel For high-frequency trading (HFT) and ultra-low-latency messaging, even the Linux kernel's networking stack is too slow. 1. The Context Switch Cost Every time a packet moves from the NIC (Network Inte…

Apr 20, 20263 min read

Deep DivePerformance & Optimization Mastery

#networking#dpdk#linux

JavaExpert

CPU Pipeline Stalls: Identifying Cache Misses in Java

CPU Pipeline Stalls: The Hidden Bottleneck When your Java code runs slower than expected, it is often because of "Stalls." The CPU pipeline flushes because it couldn't fetch data from the cache in time. 1. Cache Lines (6…

Apr 20, 20261 min read

Deep DiveAdvanced Java Mastery

#java#performance#cpu

JavaExpert

Hardware-Level False Sharing: Designing High-Speed Java Objects

False Sharing: The Ghost in the Machine Multi-threaded Java code is often throttled not by the code, but by the CPU's memory architecture. 1. Cache Lines The CPU loads data from RAM in 64-byte chunks called Cache Lines.…

Apr 20, 20261 min read

Deep DiveAdvanced Java Mastery

#java#performance#cpu

JavaAdvanced

Hardware-Level False Sharing: Designing High-Speed Java Objects

Hardware-Level False Sharing in Java You’ve optimized your algorithms, but your high-throughput service is still stalling. The culprit might be invisible at the code level: False Sharing. 1. The CPU Cache Line Modern CPU…

Apr 20, 20262 min read

Deep DiveAdvanced Java Mastery

#java#performance#hardware

JavaAdvanced

LMAX Disruptor: How to Process 6M Transactions/Sec on One Thread

LMAX Disruptor: Mechanical Sympathy in Action Why is your multi-threaded Java code slower than you expected? The answer is often Lock Contention and Cache Misses. The LMAX Disruptor was built to solve this by embracing "…

Apr 20, 20261 min read

Deep Dive

#java#performance#low-latency

System DesignAdvanced

Speculative Retries: The Google Approach to Solving Tail Latency

Speculative Retries: Solving the P99 Tail In a large distributed system, the "tail latency" (P99.9) is often dominated by a single "slow" node. This is the Tail at Scale problem. No matter how much you optimize your code…

Apr 20, 20262 min read

Deep DiveDistributed Systems Mastery

#system-design#low-latency#p99

System DesignBeginner

System Design: Designing a Real-time Bidding (RTB) Ad System

System Design: Designing a Real-time Bidding (RTB) Ad System Real-time Bidding (RTB) is the backbone of the modern digital advertising industry. When you load a webpage, an auction happens in the background to decide whi…

Apr 20, 20263 min read

Deep Dive

#system-design#rtb#ad-tech

System DesignAdvanced

System Design: Designing a Stock Trading Platform and Matching Engine

System Design: Designing a High-Performance Trading Platform Designing a stock or crypto trading platform is the ultimate test of low-latency engineering. You need to process millions of orders per second, maintain a per…

Apr 20, 20263 min read

Deep Dive

#system-design#fintech#matching-engine

System DesignAdvanced

System Design: Designing a Video Conferencing System (Zoom / MS Teams)

System Design: Designing a Video Conferencing System Designing a real-time video conferencing system like Zoom or Microsoft Teams is fundamentally different from a video streaming service like YouTube. While YouTube prio…

Apr 20, 20263 min read

Deep Dive

#system-design#webrtc#video-conferencing