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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

Backend Development Nov 16, 2023 Architect

Understanding Transactional Messages in Distributed Systems: RocketMQ and Kafka

This article explains the principles of distributed transaction messages, comparing 2PC, TCC, and transactional messaging, and provides detailed walkthroughs of RocketMQ and Kafka implementations, including their two‑phase processes, broker handling, and source‑code insights for ensuring data consistency in asynchronous systems.

distributed systemsKafkamessage queueRocketMQ2PCTCCtransactional messaging

Big Data Nov 2, 2023 Top Architect

Understanding Distributed Systems and Kafka: Concepts, Architecture, and Ensuring Ordered Message Consumption

This article introduces the fundamentals of distributed systems, provides an overview of Apache Kafka’s architecture and core components, explains how Kafka ensures message ordering within partitions, and outlines Java‑based strategies to guarantee ordered consumption, including single‑partition consumption, partition assignment, and key‑based partitioning.

Distributed SystemsJavaBig DataKafkaMessage Ordering

Artificial Intelligence Aug 22, 2023 DataFunTalk

Building Complex Distributed Systems with Ray: An AutoML Case Study and Cloud‑Native Deployment

This article explains how the Ray distributed computing engine simplifies the design, deployment, and operation of complex cloud‑native distributed systems—illustrated through an AutoML service example—by detailing system complexity, Ray’s core concepts, resource customization, runtime environments, monitoring, and ecosystem integrations.

Cloud NativePythonAIKubernetesAutoMLDistributed ComputingRay

Cloud Native Aug 10, 2023 Architects Research Society

Resilience Strategies for Cloud‑Native Distributed Systems

This article explains how cloud‑native distributed systems achieve higher availability through resilience strategies such as load balancing, timeouts with automatic retries, deadlines, and circuit breakers, describing their placement across OSI layers, implementation options via libraries or proxies, and practical algorithm choices.

cloud-nativemicroservicesload balancingresiliencecircuit breakertimeoutsdeadlines

Fundamentals Jun 30, 2023 JD Retail Technology

Fundamentals of Distributed Systems: CAP Theory, ACID, BASE, Idempotency, and Distributed Transaction Protocols

This article explains core distributed‑system concepts such as the CAP theorem, ACID and BASE transaction models, idempotent design, and various distributed transaction mechanisms including two‑phase and three‑phase commit, TCC/Saga compensation, message‑based transactions, and popular frameworks like JDTS and Seata.

CAP theoremIdempotency2PCTCCACIDBASE3PCMessage transaction

Backend Development Jun 8, 2023 政采云技术

Idempotency Design Principles and Practices in Distributed Systems

This article explains the definition, importance, and practical design guidelines for achieving idempotency in distributed systems, especially in financial and payment scenarios, by detailing key elements, principles, common pitfalls, and implementation patterns with code examples.

Distributed SystemsTransactionbackend developmentrpcidempotency

Backend Development Jun 6, 2023 Code Ape Tech Column

Business Compensation Mechanisms: Rollback and Retry Strategies in Distributed Systems

The article explains business compensation mechanisms in distributed microservice architectures, detailing rollback and retry approaches, their implementation patterns, strategies, and practical considerations for achieving eventual consistency while handling failures and outlines best practices for idempotency, monitoring, and workflow engine design.

distributed systemsmicroservicesretryidempotencyrollbackeventual consistencybusiness compensation

Backend Development May 17, 2023 Selected Java Interview Questions

Effective Cache Strategies for Large Distributed Systems

This article explains how to design and use various client‑side, CDN, and server‑side caching techniques—including HTTP Cache‑Control, Redis data structures, cache consistency patterns, and mitigation of cache penetration, breakdown, and avalanche—to improve performance and reliability of high‑traffic distributed applications.

distributed systemsbackend developmentRediscachingCDNcache consistency

Backend Development May 4, 2023 Top Architect

Business Compensation Mechanisms: Rollback and Retry Strategies in Distributed Systems

The article explains how distributed applications face consistency challenges, defines business compensation as a way to resolve inconsistent states, and details practical rollback and retry mechanisms—including explicit/implicit rollback, various retry strategies, code examples, and design considerations for microservice architectures.

backenddistributed systemsmicroservicesretryrollbackbusiness compensation

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