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Ops Development Stories

Feb 24, 2022 · Big Data

Master Elasticsearch: Core Concepts, APIs, Mapping, and Performance Tuning

This comprehensive guide explains Elasticsearch fundamentals—including documents, indices, nodes, clusters, REST and Document APIs, query DSL, relevance scoring, distributed architecture, real‑time indexing, search execution, pagination, scroll, aggregations, data modeling, mapping options, parent/child relationships, reindexing, and practical cluster and write/read performance optimizations.

AggregationCluster TuningElasticsearch

0 likes · 58 min read

Master Elasticsearch: Core Concepts, APIs, Mapping, and Performance Tuning

Sohu Tech Products

Mar 10, 2021 · Databases

Elasticsearch Deployment Best Practices: Memory, CPU, Sharding, Replicas, Hot/Warm Architecture, Node Roles, Monitoring and Troubleshooting

This article presents practical best‑practice guidelines for configuring Elasticsearch in production, covering heap memory sizing, CPU considerations, shard and replica planning, hot‑warm node architecture, node role settings, common pitfalls, monitoring APIs, and troubleshooting tips.

Cluster TuningElasticsearchSharding

0 likes · 15 min read

Elasticsearch Deployment Best Practices: Memory, CPU, Sharding, Replicas, Hot/Warm Architecture, Node Roles, Monitoring and Troubleshooting

Zhengtong Technical Team

Apr 30, 2020 · Big Data

Design and Performance Optimization of an Intelligent Search System for City Operations Big Data Center

This article describes the background, requirement‑driven prototype design, Elasticsearch‑based query‑DSL selection, and extensive performance tuning—including hardware configuration, indexing parameters, JVM and garbage‑collector adjustments—that enabled real‑time ingestion of hundreds of thousands of records and sub‑second search responses for a city‑wide data platform.

Cluster TuningElasticsearchIntelligent Search

0 likes · 12 min read