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Xuanwu Backend Tech Stack
Xuanwu Backend Tech Stack
Jun 15, 2025 · Backend Development

Understanding Zookeeper’s One‑Time Watch and Persistent Listener Techniques

This article explains why Zookeeper's watch mechanism triggers only once, outlines the performance, reliability, and design reasons behind it, describes its asynchronous eventual consistency, and provides Java code examples for basic watches, manual re‑registration, and using the Curator framework for persistent listeners.

Distributed SystemsJavaOne-time Trigger
0 likes · 7 min read
Understanding Zookeeper’s One‑Time Watch and Persistent Listener Techniques
Sanyou's Java Diary
Sanyou's Java Diary
Jun 12, 2022 · Backend Development

How Zookeeper’s Curator Implements Distributed Locks: A Deep Dive

This article explains how Curator uses Zookeeper's temporary sequential nodes to implement distributed locks, covering lock acquisition, reentrancy, fairness, read‑write semantics, batch locking, and a comparison with Redis‑based locks, while illustrating the process with code snippets and diagrams.

Reentrant Lockcuratorfair lock
0 likes · 14 min read
How Zookeeper’s Curator Implements Distributed Locks: A Deep Dive
Ops Development Stories
Ops Development Stories
Apr 12, 2021 · Backend Development

Mastering Zookeeper Distributed Locks: From Seckill to Read‑Write Locks

This article explains how Zookeeper’s distributed lock mechanisms—including non‑fair, fair, and read‑write locks—can prevent overselling in high‑traffic seckill scenarios, details their advantages and drawbacks, and provides practical Curator‑based Java implementations with code examples.

JavaZooKeeperconcurrency
0 likes · 13 min read
Mastering Zookeeper Distributed Locks: From Seckill to Read‑Write Locks
Java Backend Technology
Java Backend Technology
Nov 12, 2020 · Backend Development

Why Java Locks Fail in Distributed Systems and How Redis & Zookeeper Fix Them

Java’s built‑in synchronization mechanisms work only within a single JVM, leading to inventory‑oversell problems when scaling an e‑commerce service across multiple machines, so developers turn to distributed lock solutions such as Redis (with RedLock or Redisson) and Zookeeper (using ordered and temporary nodes) to ensure global mutual exclusion.

Java concurrencyZooKeepercurator
0 likes · 19 min read
Why Java Locks Fail in Distributed Systems and How Redis & Zookeeper Fix Them
Big Data Technology & Architecture
Big Data Technology & Architecture
Jun 16, 2020 · Big Data

Hot‑Warm Architecture in Elasticsearch 5.x: Node Types, Index Allocation and Curator Automation

The article explains how to design a time‑based Elasticsearch cluster using a hot‑warm architecture with dedicated master, hot, and warm nodes, shows how to configure node attributes, allocate indices via settings or Curator, and discusses best‑practice compression and rollover strategies for large‑scale log data.

Big DataElasticsearchHot‑Warm Architecture
0 likes · 8 min read
Hot‑Warm Architecture in Elasticsearch 5.x: Node Types, Index Allocation and Curator Automation
Ops Development Stories
Ops Development Stories
Mar 13, 2020 · Operations

How to Extend Zabbix Monitoring Data Retention in Elasticsearch for a Year

Facing limited storage of Zabbix historical data in Elasticsearch, the article outlines a comprehensive strategy—expanding nodes, adding SSDs, redesigning index mapping, using hot‑cold node tiers, employing Curator for automated shrink, segment merging, and lifecycle management—to retain up to a year of monitoring data efficiently.

ElasticsearchHot/Cold NodesIndex Management
0 likes · 6 min read
How to Extend Zabbix Monitoring Data Retention in Elasticsearch for a Year
Big Data Technology Architecture
Big Data Technology Architecture
Feb 5, 2020 · Big Data

Elasticsearch Index Design: Scaling to PB/TP Levels and Best Practices

This article provides a comprehensive guide on designing Elasticsearch indices for massive data volumes, covering shard and replica sizing, mapping strategies, rollover templates, curator cleanup, tokenization choices, query type selection, and multi‑table association techniques to achieve efficient, reliable search at PB‑scale.

ElasticsearchMappingRollover
0 likes · 24 min read
Elasticsearch Index Design: Scaling to PB/TP Levels and Best Practices
Architecture Talk
Architecture Talk
Jan 8, 2019 · Big Data

Boost Elasticsearch Performance: Bulk API, Gateway & Caching Secrets

This article explains how to dramatically improve Elasticsearch throughput by using the bulk API, tuning bulk request sizes, configuring gateway settings, optimizing cluster state updates, managing caches, leveraging fielddata and doc values, and employing tools like Curator and the Profiler for efficient cluster operations.

Cluster ManagementElasticsearchbulk API
0 likes · 27 min read
Boost Elasticsearch Performance: Bulk API, Gateway & Caching Secrets
Qunar Tech Salon
Qunar Tech Salon
Jun 28, 2017 · Backend Development

Understanding Curator's InterProcessMutex Distributed Lock in Java

This article explains how to replace Redis‑based lock with Curator's InterProcessMutex, detailing its re‑entrant design, node creation, lock acquisition logic, waiting mechanisms, and release process, while highlighting advantages over traditional Thread.sleep approaches in multithreaded resource access.

InterProcessMutexJavaZooKeeper
0 likes · 8 min read
Understanding Curator's InterProcessMutex Distributed Lock in Java
Qunar Tech Salon
Qunar Tech Salon
Dec 30, 2014 · Fundamentals

Learning ZooKeeper with Curator: Comprehensive Examples and Recipes

This guide offers a complete collection of practical examples that demonstrate Curator's usage for Apache ZooKeeper, covering leader election, distributed locks, barriers, counters, caches, queues, and transaction handling, with each chapter independent and source code available on GitHub.

Distributed CoordinationDistributed LocksJava
0 likes · 3 min read
Learning ZooKeeper with Curator: Comprehensive Examples and Recipes