Feb 5, 2020 · Databases

Tencent’s Secrets to Scaling Elasticsearch for Trillion‑Level Data

Tencent shares how it leverages Elasticsearch at trillion‑scale across logging, search, and time‑series workloads, detailing the challenges of high availability, low cost, and high performance, and describing concrete kernel‑level optimizations, resource‑limiting strategies, storage tiering, rollup, cache, and merge techniques that enable robust, efficient operation.

Cost OptimizationElasticsearchLarge‑Scale Search

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Tencent’s Secrets to Scaling Elasticsearch for Trillion‑Level Data

Architecture Digest

Jul 5, 2017 · Big Data

Design and Practice of Using HBase for Massive TMP Monitoring Data Storage

This article analyzes the limitations of the original TMP monitoring storage architecture, evaluates OpenTSDB's shortcomings at large scale, and details the design, implementation, and performance tuning of a custom HBase-based solution that achieves 3‑5× higher throughput for billions of monitoring data points per day.

HBaseOpenTSDBTime‑Series Data

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Design and Practice of Using HBase for Massive TMP Monitoring Data Storage