This article introduces Fabric8 Kubernetes Client's log APIs, demonstrates how to stream pod logs with watchLog, explains periodic log pulling with sinceSeconds, compares three deduplication strategies, and provides Java implementations using LinkedHashMap and LRU caches to reliably process Kubernetes logs.
This article explores four powerful yet understated caching techniques—HashMap with read‑write locks, LinkedHashMap‑based LRU caches, TreeMap for consistent hashing, and ByteBuffer pooling—detailing their implementations in middleware such as RocketMQ, MyBatis, and Cobar to enhance backend performance.
This article explains the internal structure and algorithms of Java's HashMap and LinkedHashMap, covering node definitions, constructors, hash calculations, collision handling, treeification, resizing mechanics, power‑of‑two bucket sizing, thread‑safety issues, and how LinkedHashMap enables LRU caching.
This article walks through a production JVM memory‑leak incident, detailing how a static LRU cache built on LinkedHashMap caused unreclaimed objects, the concurrency pitfalls of its design, and practical steps to diagnose and fix such leaks in Java backend systems.
This article explains why HashMap cannot preserve entry order, introduces LinkedHashMap to maintain insertion order, and provides both classic and lambda‑based Java solutions—including detailed code snippets—to sort a Map by its values efficiently.
This article explains the internal implementation of Dart's HashMap and LinkedHashMap, compares them with Java's versions, provides common interview questions, and demonstrates creation, lookup, insertion, deletion, resizing, and iteration with code examples to help developers prepare for technical interviews.
LinkedHashMap extends HashMap by maintaining a doubly linked list to preserve insertion or access order, allowing optional LRU cache behavior via the accessOrder flag, and its source code shows how entries are linked, reordered on get, and how to override removeEldestEntry for eviction.
