Designing Three‑High Systems: Practical Performance Tuning and Fault‑Tolerant Architecture

The article breaks down the design logic and implementation steps for high‑performance, high‑concurrency, and high‑availability systems, covering bottleneck identification, read/write optimization, three‑dimensional scaling, and concrete fault‑tolerance strategies to build resilient, scalable services.

System Architecturefault tolerancehigh availability

0 likes · 15 min read

Designing Three‑High Systems: Practical Performance Tuning and Fault‑Tolerant Architecture

360 Zhihui Cloud Developer

Oct 31, 2024 · Backend Development

Boosting Ozone Block Reads with gRPC Streaming: Up to 30% Faster

This article explains how a gRPC bidirectional streaming read method was added to Ozone to reduce chunk‑by‑chunk request gaps, describes the client‑side implementation, presents single‑ and multi‑threaded performance tests showing roughly 30% faster reads, and outlines future enhancements such as pre‑fetching.

OzoneStreamingblock storage

0 likes · 7 min read

Boosting Ozone Block Reads with gRPC Streaming: Up to 30% Faster

DataFunSummit

Jun 28, 2024 · Big Data

Apache Hudi from Zero to One – Part 2: Reading Process and Query Types (Spark Example)

This article explains how Apache Hudi integrates with Spark to read data, detailing the Spark‑SQL planning stages, the Spark‑Hudi read workflow, and the four main Hudi query types—snapshot, read‑optimized, time‑travel, and incremental—along with example SQL commands and code snippets.

Apache HudiBig DataData Lake

0 likes · 11 min read

Apache Hudi from Zero to One – Part 2: Reading Process and Query Types (Spark Example)

Big Data Technology Architecture

Jun 16, 2021 · Big Data

HBase Read and Write Performance Optimization Guide

This guide details practical server‑side and client‑side techniques for improving HBase read and write throughput, covering rowkey design, BlockCache configuration, HFile management, compaction tuning, scan cache sizing, bulkload usage, WAL policies, and SSD storage options.

Database TuningHBaseread optimization

0 likes · 8 min read

HBase Read and Write Performance Optimization Guide

Java High-Performance Architecture

Jun 9, 2019 · Backend Development

Mastering High-Concurrency: Proven Read/Write Strategies for Scalable Systems

This article categorizes high‑concurrency challenges into read‑heavy and write‑heavy scenarios and presents practical strategies such as caching, sharding, asynchronous processing, batch operations, and architectural patterns to improve scalability and performance of backend systems.

Backend ArchitectureScalabilitycaching

0 likes · 9 min read

Mastering High-Concurrency: Proven Read/Write Strategies for Scalable Systems

Youzan Coder

Feb 20, 2019 · Databases

HBase Read Path Analysis

The article first outlines HBase’s overall architecture and core components, then details the end‑to‑end read path—from client request routing to RegionServer processing, data organization and filtering—and finally presents practical client‑ and server‑side optimizations such as heterogeneous storage, HDFS short‑circuit, hedged reads, high‑availability reads, and warm‑up failure fixes, illustrated with Youzan’s production cluster.

Distributed SystemsHBaseTechnical Guide

0 likes · 17 min read