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JD Cloud Developers
JD Cloud Developers
Jul 16, 2025 · Databases

How JD Ads Cut Storage Costs 87% with Apache Doris Hot‑Cold Tiering

This article details JD Advertising's journey from a 1 PB Apache Doris data lake to a multi‑level hot‑cold tiering architecture, describing two tiering strategies, the performance and schema‑change challenges faced during the upgrade to Doris 2.0, and the optimizations that reduced storage costs by about 87% while boosting query throughput.

Apache DorisSchema Changecold data
0 likes · 19 min read
How JD Ads Cut Storage Costs 87% with Apache Doris Hot‑Cold Tiering
Architecture Digest
Architecture Digest
Feb 26, 2024 · Backend Development

JD-Hotkey: High-Performance Backend Hot Data Detection Framework

JD-Hotkey is a backend framework that detects and pushes hot keys at millisecond precision, handling billions of keys daily with up to 370,000 detection tasks per second and 600,000 push operations per second, dramatically reducing data‑layer pressure and improving application performance across various caching and rate‑limiting scenarios.

HotKeyhot data
0 likes · 5 min read
JD-Hotkey: High-Performance Backend Hot Data Detection Framework
Code Ape Tech Column
Code Ape Tech Column
Sep 7, 2023 · Databases

Hot and Cold Data Separation: Concepts, Scenarios, and Implementation Methods

The article explains the principle of hot‑cold data separation, when it should be applied, how to distinguish hot versus cold data, and three practical implementation approaches—code modification, binlog listening, and scheduled scanning—to improve database performance and maintain consistency.

Backend ArchitectureData Lifecyclecold data
0 likes · 9 min read
Hot and Cold Data Separation: Concepts, Scenarios, and Implementation Methods
Code Ape Tech Column
Code Ape Tech Column
Jan 24, 2022 · Databases

Hot and Cold Data Separation: Concepts, Scenarios, and Implementation Methods

The article explains the hot‑cold data separation pattern, describing its purpose, when to use it, how to distinguish hot versus cold data, and three practical implementation approaches—code modification, binlog listening, and scheduled scanning—to improve performance and maintain data consistency in large‑scale systems.

Data Lifecyclecold datadatabase partitioning
0 likes · 10 min read
Hot and Cold Data Separation: Concepts, Scenarios, and Implementation Methods
Sohu Tech Products
Sohu Tech Products
Sep 8, 2021 · Backend Development

Hot Data Detection and Optimized Caching with Caffeine and HotCaffeine

This article explains the concept of hot data, categorizes its types, discusses caching trade‑offs, introduces LFU, LRU and TinyLFU algorithms, describes the HotCaffeine system architecture and features, and presents performance improvements and practical deployment considerations for Java backend services.

CaffeineHotCaffeineJava
0 likes · 12 min read
Hot Data Detection and Optimized Caching with Caffeine and HotCaffeine
Big Data Technology & Architecture
Big Data Technology & Architecture
Jun 16, 2020 · Big Data

Hot and Cold Data Separation in Big Data Systems

The article explains the concept of hot and cold data, why separating them reduces cost, and presents heterogeneous and homogeneous architectural solutions—including Elasticsearch, HBase, AWS S3, and cloud‑based UltraWarm—illustrated with network‑behavior and e‑commerce order system case studies.

AWS S3Big Data ArchitectureData Lifecycle
0 likes · 11 min read
Hot and Cold Data Separation in Big Data Systems