The article explains how Linux uses page cache, inode cache, and dentry cache to accelerate file operations, detailing their structures, lookup mechanisms, LRU eviction, and real‑world performance impact, and shows step‑by‑step path resolution with code examples.
After deploying the full‑precision DeepSeek‑R1 model on a 2×8‑GPU ACS cluster, repeated stress tests showed GPU memory usage continuously rising without release; this article details the investigation, reproduces the behavior, examines vLLM logs, Prometheus metrics, and reveals PyTorch’s caching allocator as the root cause, offering mitigation tips.
This article analyzes the shortcomings of existing Go caching libraries, introduces the MemoryCache project, explains its hash‑based bucket design, 4‑ary heap LRU implementation, unified timer strategy, and provides practical usage examples with code snippets for SetWithCallback and GetOrCreateWithCallback.
This article presents a detailed performance benchmark of the new open‑source memory cache Dragonfly against Redis 7.0, describing test methodology, hardware setup, command configurations, and the resulting throughput and latency differences across various GET and SET workloads.
This article examines the open‑source memory cache Dragonfly, compares its performance and architecture with Redis through detailed benchmark reproductions, discusses the underlying design trade‑offs, and highlights Redis’s continued relevance and future directions in real‑world deployments.
This article examines the open‑source memory cache Dragonfly, compares its performance and architecture against Redis through detailed benchmark results, discusses Redis’s response and design principles, and provides reproducible test configurations and command lines for both systems.
This article compares the open‑source memory cache Dragonfly, created by a former Google and Amazon engineer, with Redis 7.0, analyzing benchmark results, architectural differences, and community reactions to determine which system delivers superior performance and scalability.
The article examines the open‑source Dragonfly memory cache, its performance claims versus Redis, the Redis team's rebuttal, detailed benchmark methodology, results across GET/SET workloads, and the architectural principles that keep Redis competitive in real‑time in‑memory data storage.
The Baidu App’s T7 browser kernel team optimized its HTTPCache and MemoryCache by enabling main‑document and file‑protocol caching, introducing a fixed‑size LRU cleanup, providing custom preload/query APIs, and leveraging NoState Prefetch, which together cut page‑load latency by over 30 % and markedly improve user experience.
The article dissects Glide’s five‑level caching system—active resources, memory cache, resource and data disk caches, and network cache—explaining how active weak references feed the LRU memory cache, how DiskCacheStrategy governs transformed and raw data storage, and how I/O and network tasks run on separate executors while network responses are cached before delivery.
Varnish is a high‑performance open‑source reverse proxy and HTTP cache that stores data in memory for faster retrieval, using a master process to manage child workers that handle requests, allocate, serve, and evict cached objects based on LRU policies.
