Failure Handling

Architects Research Society

Dec 9, 2022 · Cloud Native

Common Pitfalls in Microservice Integration and How to Mitigate Them

The article examines three common microservice integration pitfalls—complex communication, asynchronous challenges, and distributed transaction difficulties—and proposes resilient solutions using fast‑fail patterns, timeout handling, and stateful compensation via lightweight workflow engines to simplify architecture and improve reliability.

Failure HandlingSagaasynchronous

0 likes · 17 min read

Common Pitfalls in Microservice Integration and How to Mitigate Them

Full-Stack Internet Architecture

Oct 16, 2021 · Backend Development

Handling MQ Failures: Encapsulation, Degradation, and Message Resend Strategies

The article explains how to properly deal with message‑queue (MQ) outages by first encapsulating MQ operations, then applying degradation tactics such as persisting failed messages to a database, disk, or log, and finally implementing scheduled or manual message‑replay mechanisms while emphasizing monitoring and fallback logic.

Failure HandlingMessage QueueMessage Resend

0 likes · 5 min read

Handling MQ Failures: Encapsulation, Degradation, and Message Resend Strategies

Big Data Technology Architecture

Aug 6, 2019 · Fundamentals

Overview of Distributed Consistency Algorithms: The Raft Protocol

This article explains the fundamentals of distributed consistency by introducing the Raft consensus algorithm, covering its roles, leader election, log replication, handling of split votes, random timeouts, and various failure scenarios such as leader crashes and network partitions.

Distributed ConsensusFailure HandlingLeader Election

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Overview of Distributed Consistency Algorithms: The Raft Protocol