Distributed ad serving with low latency
Distributed ad serving in streaming: how to fit within 100 ms while balancing latency, personalization, and system resilience
Highload on ThecoreGrid focuses on designing and operating systems that handle massive scale, traffic, and data under strict reliability requirements.
We explore architectures and patterns for horizontal scaling, load distribution, fault tolerance, and performance optimization in distributed environments. Topics include sharding, replication, caching strategies, queueing systems, backpressure handling, and latency reduction under peak load. We analyze real-world trade-offs between consistency, availability, and cost, along with failure scenarios and recovery strategies. Content is grounded in BigTech practices, including incident post-mortems and lessons from operating systems at global scale. You’ll find deep dives into infrastructure behavior, traffic management, autoscaling, and resilience engineering. Instead of simplified guides, the Highload tag delivers practical engineering insights for backend engineers, architects, platform teams, and SREs responsible for building and maintaining systems that must perform reliably under extreme demand.
Distributed ad serving in streaming: how to fit within 100 ms while balancing latency, personalization, and system resilience
Stateless QUIC Load Balancing: How the Data Plane Ensures PCC, Reduces Latency, and Blocks 0-RTT Attacks Without Server Modifications
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Java Virtual Threads in JDK 24: Where Throughput Increases and Why ThreadLocals and Pools Break — Implementation Insights and Hidden Risks
How to accelerate case folding to memory limits: an analysis of branchless loops, SIMD, and trade-offs in high-load code search
Cloudflare Workers and R2 have become the foundation for cdnjs. The architecture handles 9 billion requests per day and changes the approach to CDN pipelines. The cdnjs system has hit a wall not in delivery, but in evolution. With 108,000 requests per second and a 98.6% cache hit rate, the delivery layer operated stably. Degradation … Read more
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Orbital AI data centers promise cheap energy and cooling, but network bandwidth, latency, and topology may limit large-scale LLM training in space
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