Big Data 4 min read

Elasticsearch Technical Event in Shenzhen

The Shenzhen Elasticsearch technical event, co‑hosted by the Elastic Chinese community and Tencent Cloud, presented practical sessions on optimizing the Elastic Stack for search, real‑time analytics, logging, security and APM, featuring compression encoding, MongoDB fusion, ByteDance extensions, cost‑effective log storage, Lucene indexing, cross‑cluster replication, vector engine integration, and large‑scale case studies from Tencent, Tiptop Data and vivo.

Tencent Cloud Developer
Tencent Cloud Developer
Tencent Cloud Developer
Elasticsearch Technical Event in Shenzhen

This document outlines the agenda and key sessions of an Elasticsearch technical event hosted by Elastic中文社区 in collaboration with Tencent Cloud. The event focuses on practical applications and optimizations of Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) in search, real-time data analysis, log analysis, security, and APM domains.

The event features talks on Elasticsearch compression encoding optimizations, real-time data fusion platforms combining Elasticsearch and MongoDB, and internal extensions developed by ByteDance. Each session includes summaries of technical challenges, solutions, and industry-specific implementations.

Key highlights include discussions on cost-effective log storage solutions, Lucene-based indexing optimizations, cross-cluster replication techniques, and vector computing engine integrations. The event also covers practical implementations in large-scale scenarios from companies like Tencent, Tiptop Data, and vivo.

Elasticsearchreal-time datadata fusionMongoDBCloud PlatformLog Analysistechnical optimizationVector Computing
Tencent Cloud Developer
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Tencent Cloud Developer

Official Tencent Cloud community account that brings together developers, shares practical tech insights, and fosters an influential tech exchange community.

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