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Art of Distributed System Architecture Design
Art of Distributed System Architecture Design
Sep 25, 2015 · Big Data

Understanding Storm: A Distributed Real-Time Computation System

The article explains the need for low‑latency, high‑performance, distributed real‑time processing, outlines the challenges such systems must address, and introduces Storm as a Hadoop‑like framework for stream processing, detailing its architecture, fault‑tolerance mechanisms, transactional topology, and large‑scale deployment at Taobao.

Big DataDistributed SystemsReal-time Processing
0 likes · 14 min read
Understanding Storm: A Distributed Real-Time Computation System
21CTO
21CTO
Sep 19, 2015 · Artificial Intelligence

Why Distributed Machine Learning Needs More Data Than Speed

The article explains how distributed machine learning evolved from parallel computing to handle massive, long‑tail data sets, discusses the importance of scalability, fault recovery, and data‑parallel algorithms, and reviews frameworks such as MPI, MapReduce, and Pregel for building large‑scale AI systems.

Big DataData ParallelismLDA
0 likes · 24 min read
Why Distributed Machine Learning Needs More Data Than Speed
21CTO
21CTO
Aug 29, 2015 · Backend Development

How to Prevent Service Failures: Trust Third‑Party, Guard Users, Master Your Own Code

An experienced backend engineer shares practical strategies to prevent service failures, covering third‑party distrust, user‑side safeguards, robust API design, traffic limiting, resource management, and architectural best practices such as single‑responsibility and avoiding single points of failure.

Resource Managementapi-designfault tolerance
0 likes · 16 min read
How to Prevent Service Failures: Trust Third‑Party, Guard Users, Master Your Own Code
Qunar Tech Salon
Qunar Tech Salon
Aug 16, 2015 · Fundamentals

Key Characteristics and Design Principles of Distributed Systems

The article explains the historical background, core characteristics such as scalability, cost‑efficiency, fault tolerance, and elasticity, and outlines essential design principles for distributed systems, emphasizing low hardware requirements, horizontal scaling, avoidance of single points of failure, reduced communication overhead, and stateless services.

Scalabilityfault tolerancehorizontal scaling
0 likes · 12 min read
Key Characteristics and Design Principles of Distributed Systems
Hulu Beijing
Hulu Beijing
Aug 14, 2015 · Big Data

How Voidbox Bridges Docker and YARN for Scalable Big Data Workloads

Voidbox integrates Docker containers with YARN to simplify distributed application development, improve deployment, boost cluster efficiency, and provide fault‑tolerant, DAG‑based execution modes, enabling seamless resource management for Hadoop‑based big data jobs.

Big DataCluster ComputingDAG
0 likes · 17 min read
How Voidbox Bridges Docker and YARN for Scalable Big Data Workloads
Architect
Architect
Jul 22, 2015 · Backend Development

Using an API Gateway in a Microservices Architecture

The article explains how an API Gateway can consolidate multiple fine‑grained microservice endpoints into a single coarse‑grained API for mobile clients, discussing its design considerations, benefits, drawbacks, and implementation techniques such as reactive programming, service discovery, and fault tolerance.

Backend Architectureapi-gatewayfault tolerance
0 likes · 13 min read
Using an API Gateway in a Microservices Architecture
High Availability Architecture
High Availability Architecture
Jul 22, 2015 · Backend Development

Designing Uber’s High‑Availability Messaging System: Fault Tolerance, Sharding, and Multi‑Data‑Center Strategies

The article details Uber senior engineer Zhao Lei’s presentation on building a highly available messaging platform, covering single‑point failure mitigation, sharding approaches, large‑scale outage handling, cross‑region failover, and the practical engineering practices and protocols used to keep billions of users online.

Messagingbackendfault tolerance
0 likes · 16 min read
Designing Uber’s High‑Availability Messaging System: Fault Tolerance, Sharding, and Multi‑Data‑Center Strategies
Art of Distributed System Architecture Design
Art of Distributed System Architecture Design
Jun 13, 2015 · Fundamentals

Key Characteristics and Design Principles of Distributed Systems

Distributed systems, long used since the 1970s and popularized by internet giants like Google, offer scalable, cost‑effective, and fault‑tolerant architectures by leveraging many low‑cost servers, emphasizing horizontal scaling, avoidance of single points of failure, minimal inter‑node communication, and stateless services for elastic application deployment.

Distributed Systemsfault tolerancehorizontal scaling
0 likes · 13 min read
Key Characteristics and Design Principles of Distributed Systems
Qunar Tech Salon
Qunar Tech Salon
May 21, 2015 · Fundamentals

Key Characteristics and Design Principles of Distributed Systems

The article explains the origins, core features such as scalability, cost‑effectiveness, fault tolerance, and elastic expansion of distributed systems, and outlines design philosophies like low hardware requirements, horizontal scaling, avoidance of single points of failure, minimized inter‑node communication, and stateless service architecture.

Distributed Systemsfault tolerancehorizontal scaling
0 likes · 11 min read
Key Characteristics and Design Principles of Distributed Systems