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Backend Development May 17, 2024 Ctrip Technology

Comprehensive Log Governance and Mining Solution for Distributed Systems

This article presents a comprehensive log governance and mining solution for distributed systems, covering background challenges, usage scenarios, and detailed strategies such as distributed log integration, front‑back end traceability, standardized log management, large‑payload handling, efficient cleaning, and future plans for componentization and sampling.

distributed systemsperformance optimizationBackend Developmentlog managementtraceability

Operations May 16, 2024 Cognitive Technology Team

Guide to Building Stability in Distributed Systems

This guide presents comprehensive principles, best practices, and techniques for designing, deploying, and maintaining stable distributed systems, covering fault tolerance, monitoring, capacity planning, incident response, and operational reliability to help engineers achieve high availability.

distributed systemsmonitoringoperationsfault tolerancestabilityreliability engineering

Fundamentals May 15, 2024 Cognitive Technology Team

The Fallacies of Distributed Systems: Understanding Common Network Assumptions

This article revisits the classic “Fallacies of Distributed Systems” introduced by Peter Deutsch, explaining why assumptions such as reliable networks, zero latency, infinite bandwidth, secure and homogeneous communication are false, and offering practical strategies like retries, caching, batching, and security‑first design to build robust distributed applications.

distributed systemslatencysecuritynetwork reliabilitybandwidthfallacies

Backend Development Apr 7, 2024 Deepin Linux

High‑Performance Development: Core Techniques from I/O Optimization to Distributed Systems

This comprehensive guide covers high‑performance development techniques—including I/O optimization, zero‑copy, multiplexing, concurrency, thread‑pool design, lock‑free programming, inter‑process communication, RPC, serialization, database indexing, caching strategies, Bloom filters, full‑text search, and load balancing—to help developers build fast, scalable, and reliable systems.

distributed systemsperformanceconcurrencycachingI/O optimizationbloom filterdatabase indexing

Operations Apr 2, 2024 Architecture & Thinking

How to Ensure Data Consistency in High‑Concurrency Distributed Systems

This article explores the challenges of maintaining data consistency under high concurrency in distributed systems, reviewing common consistency issues, distributed lock implementations, optimistic and pessimistic strategies, CAS and ABA problems, and practical solutions such as Redis locks, Zookeeper, and transaction protocols.

data consistencyhigh concurrencydistributed lockCASoptimistic concurrency

Backend Development Mar 31, 2024 Architect

Common Lock Types in Distributed Systems and Their Java Implementations

This article explains the main lock mechanisms used in concurrent and distributed Java applications—including pessimistic, optimistic, distributed, reentrant, spin, shared, read/write, fair, non‑fair, interruptible, segment, and lock‑upgrade techniques—along with their characteristics, usage scenarios, and sample SQL or Java code snippets.

Distributed SystemsJavaPerformanceConcurrencySynchronizationLocks

Databases Mar 26, 2024 Tencent Cloud Developer

Data Consistency in Distributed Systems: Master‑Slave, Master‑Master, and Leaderless Architectures

The article compares master‑slave, master‑master, and leaderless distributed architectures, explaining how synchronous, semi‑synchronous, and asynchronous replication affect consistency, latency and scalability, and showing that each pattern trades write throughput, conflict‑resolution complexity, and availability against strong data correctness.

distributed systemsdata consistencymaster-slavereplicationdatabaseleaderlessmaster-master

Backend Development Mar 24, 2024 Java Tech Enthusiast

Global ID Generation Strategies for Distributed Systems

The article surveys common global ID generation strategies for distributed systems—database‑managed approaches like MySQL auto‑increment and MyCat‑Zookeeper, and Java‑based methods such as UUID, Snowflake, Leaf, Redis INCRBY and direct Zookeeper—comparing their trade‑offs and recommending Leaf (segment or Snowflake mode) or MyCat‑Zookeeper for reliable, scalable identifiers.

backendzookeepermysqldistributed-systemsglobal-idleafsnowflake

Information Security Feb 4, 2024 Top Architect

Implementing Single Sign‑On (SSO) with CAS and Session Sharing in Distributed Systems

This article explains the problems of traditional session management in multi‑service environments, introduces session replication and centralized storage (using Redis), and demonstrates a complete CAS‑based single sign‑on solution with Java code examples for user, controller, filter, and configuration components.

BackendJavaRedisAuthenticationCASSSOSession

Cloud Native Jan 29, 2024 DaTaobao Tech

Observability: Logging, Metrics, and Tracing in Distributed Systems

Observability in distributed systems combines event logging, aggregated metrics, and request tracing—each offering distinct trade‑offs in detail, storage, and overhead—and while the ELK stack dominates log and metric handling, tracing solutions such as EagleEye and SkyWalking differ by protocol and language, prompting many teams to adopt unified, cloud‑native platforms like Alibaba Cloud’s Log Service for lower cost, real‑time analysis and simplified management.

cloud-nativeobservabilitymetricsloggingtracingELKSLS

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