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log search

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Top Architect
Top Architect
Jul 27, 2023 · Big Data

Performance Comparison of Elasticsearch and ClickHouse for Log Search

This article compares Elasticsearch and ClickHouse as log‑search solutions, detailing their architectures, Docker‑compose deployments, data‑ingestion pipelines with Vector, query syntax differences, and benchmark results that show ClickHouse generally outperforms Elasticsearch in speed and aggregation efficiency.

ClickHouseDockerElasticsearch
0 likes · 13 min read
Performance Comparison of Elasticsearch and ClickHouse for Log Search
Tencent Cloud Developer
Tencent Cloud Developer
Aug 29, 2022 · Big Data

Tencent CLS: High‑Performance Time‑Series Search Engine for Cloud Log Service

Tencent’s Cloud Log Service augments Lucene with a dedicated time‑series index—using timestamp ordering, a secondary index, reverse binary search, and histogram optimization—to cut log query complexity, delivering up to 40‑50× faster responses, higher concurrency, and markedly better performance than traditional ELK‑style and competing cloud log solutions.

High PerformanceLuceneVLDB
0 likes · 14 min read
Tencent CLS: High‑Performance Time‑Series Search Engine for Cloud Log Service
Architecture Digest
Architecture Digest
May 3, 2022 · Databases

Performance Comparison of Elasticsearch and ClickHouse for Log Search

This article compares Elasticsearch and ClickHouse in architecture, query capabilities, and performance for log search workloads, presenting Docker‑compose setups, data ingestion pipelines, sample queries, and benchmark results that show ClickHouse generally outperforms Elasticsearch, especially in aggregation scenarios.

ClickHouseDockerElasticsearch
0 likes · 11 min read
Performance Comparison of Elasticsearch and ClickHouse for Log Search
Qunar Tech Salon
Qunar Tech Salon
Oct 26, 2017 · Operations

Evolution of Pinterest's Monitoring System: From Time-Series Metrics to Distributed Tracing

Over seven years, Pinterest’s monitoring team built and refined a three‑pronged observability platform—time‑series metrics, log search, and distributed tracing—scaling from a single‑machine system to handling millions of data points per second across tens of thousands of AWS VMs, while addressing reliability, cost, and usability challenges.

Distributed TracingSREcloud infrastructure
0 likes · 19 min read
Evolution of Pinterest's Monitoring System: From Time-Series Metrics to Distributed Tracing
Efficient Ops
Efficient Ops
Oct 24, 2017 · Operations

How Pinterest Scaled Its Monitoring, Logging, and Tracing Over Seven Years

This article chronicles Pinterest's seven‑year evolution from a single‑machine time‑series monitor to a multi‑component system that integrates metrics, log search, and distributed tracing, sharing architectural choices, scaling challenges, and lessons learned for building reliable, high‑performance operations platforms.

Distributed TracingSRElog search
0 likes · 24 min read
How Pinterest Scaled Its Monitoring, Logging, and Tracing Over Seven Years