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ILM

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Linux Ops Smart Journey
Linux Ops Smart Journey
Mar 17, 2025 · Databases

Master Elasticsearch Index Aliases and Templates for Seamless Data Management

This guide explains how Elasticsearch index aliases and index templates work, illustrating their benefits for seamless index switching, grouping, view creation, and automated settings, and provides step‑by‑step code examples for creating, viewing, renaming, and deleting aliases and templates.

ElasticsearchILMIndex Alias
0 likes · 5 min read
Master Elasticsearch Index Aliases and Templates for Seamless Data Management
Linux Ops Smart Journey
Linux Ops Smart Journey
Mar 14, 2025 · Databases

Master Elasticsearch ILM: Automate Index Lifecycle for Seamless Data Management

This guide explains Elasticsearch Index Lifecycle Management (ILM), detailing its five phases, the actions available in each stage, the criteria for phase transitions, and step‑by‑step configuration through Kibana and API commands, helping engineers automate index handling and reduce manual maintenance.

ElasticsearchILMIndex Lifecycle Management
0 likes · 5 min read
Master Elasticsearch ILM: Automate Index Lifecycle for Seamless Data Management
Sohu Tech Products
Sohu Tech Products
Jul 31, 2024 · Databases

Elasticsearch ILM Migration Performance Optimization Strategies

To prevent IO saturation during Elasticsearch ILM hot‑to‑cold migrations, the article recommends batching migrations, fine‑tuning max_bytes_per_sec, upgrading cold‑node storage and adding hot nodes, and automating monitoring with scripts that pause or resume ILM based on real‑time utilization thresholds.

Data MigrationElasticsearchILM
0 likes · 7 min read
Elasticsearch ILM Migration Performance Optimization Strategies
Tencent Cloud Developer
Tencent Cloud Developer
Dec 31, 2021 · Big Data

Searchable Snapshots in Elasticsearch 7.14: Principles and Practical Implementation

The article explains Elasticsearch 7.14’s production‑ready searchable snapshot feature, detailing tiered node roles, allocation preferences, full and partial mount types, and provides a step‑by‑step Tencent Cloud COS setup—including license activation, repository creation, ILM policy, index template and automatic mounting—to achieve cost‑effective, large‑scale data storage.

Cold TierData TierElasticsearch
0 likes · 14 min read
Searchable Snapshots in Elasticsearch 7.14: Principles and Practical Implementation
Tencent Cloud Developer
Tencent Cloud Developer
Dec 7, 2020 · Big Data

Searchable Snapshots in Elasticsearch 7.10: Features, Usage, and Future Outlook

Elasticsearch 7.10 adds searchable snapshots, letting users query indices stored directly in remote repositories such as S3 or COS, which halves storage costs, decouples storage from compute, supports manual mounting and ILM cold‑phase policies, and promises future full storage‑compute separation without local caching.

Big DataData TieringElasticsearch
0 likes · 12 min read
Searchable Snapshots in Elasticsearch 7.10: Features, Usage, and Future Outlook
Efficient Ops
Efficient Ops
Aug 24, 2020 · Operations

How to Scale Elasticsearch for PB‑Level Game Logs: Real‑World Strategies & Lessons

This article walks through a mid‑size gaming company's journey of deploying, tuning, and scaling an Elasticsearch cluster for massive log volumes, covering hot‑cold node architecture, ILM policies, shard management, Logstash‑Kafka optimization, emergency expansions, and the promise of searchable snapshots to achieve petabyte‑scale storage with cost efficiency.

Big DataCluster ScalingElasticsearch
0 likes · 28 min read
How to Scale Elasticsearch for PB‑Level Game Logs: Real‑World Strategies & Lessons
Tencent Cloud Developer
Tencent Cloud Developer
Jul 29, 2020 · Big Data

Case Study: Optimizing Tencent Cloud Elasticsearch for High‑Volume Game Log Analytics

To handle a gaming company's million‑QPS log stream, the team built a hot‑cold Tencent Cloud Elasticsearch cluster with ILM‑driven tiering, scaled CPU/heap, reduced shard count via shrink and replica tweaks, tuned Logstash‑Kafka pipelines, and employed COS snapshots and searchable snapshots, achieving stable performance and lower cost.

Big DataCluster ScalingElasticsearch
0 likes · 29 min read
Case Study: Optimizing Tencent Cloud Elasticsearch for High‑Volume Game Log Analytics