Should Every Microservice Have Its Own Database? Pros, Cons, and Real‑World Lessons

This article examines the debate over sharing versus isolating databases in microservice architectures, presents arguments from both sides, shares a detailed incident from an online education platform, and outlines best‑practice recommendations for balancing availability, cost, and development efficiency.

Backend ArchitectureMicroservicesScalability

0 likes · 10 min read

Should Every Microservice Have Its Own Database? Pros, Cons, and Real‑World Lessons

Tencent Cloud Developer

Jan 10, 2024 · Operations

The Challenges of Building Continuously Available Systems: Entropy, Murphy's Law, and the 'Divine Doctor Paradox'

Building continuously available systems in 2023 is hampered by entropy‑driven technical debt and Murphy’s Law failures, and the “Divine Doctor Paradox” shows that successful availability work goes unnoticed while blame follows any outage, making cultural commitment—not just technology—the essential solution.

Murphy's LawSRETechnical Debt

0 likes · 14 min read

The Challenges of Building Continuously Available Systems: Entropy, Murphy's Law, and the 'Divine Doctor Paradox'

DevOps

Jul 28, 2021 · Operations

Improving System Availability: Stages, Influencing Factors, and Practical Measures

This article explains system availability, outlines three stages of incident handling, identifies key factors that degrade availability such as human error, avalanche effects, untested releases and infrastructure failures, and proposes technical and team‑oriented practices to enhance reliability and achieve higher "nines" of uptime.

OperationsReliabilityincident management

0 likes · 11 min read

Improving System Availability: Stages, Influencing Factors, and Practical Measures

21CTO

Jul 2, 2019 · Operations

How to Build Ultra‑Reliable Systems: Multi‑Level Caching, Isolation, and Monitoring Strategies

This article outlines practical techniques for achieving high system availability, covering multi‑level caching, dynamic group switching, database and service isolation across data centers, concurrency control, gray‑release deployment, comprehensive monitoring, graceful degradation, and data consistency models, with insights on leveraging big‑data pipelines for intelligent logistics.

Big Datacachingcanary release

0 likes · 10 min read

How to Build Ultra‑Reliable Systems: Multi‑Level Caching, Isolation, and Monitoring Strategies

Java Backend Technology

Jan 26, 2019 · Backend Development

Hidden Pitfalls of Adding a Message Queue to Your Architecture

While message queues can decouple services and smooth traffic spikes, they also introduce availability risks, stability problems like message loss or duplication, and distributed consistency challenges that require careful high‑availability design and reliable transaction strategies.

Distributed ConsistencyMQMessage Queue

0 likes · 6 min read

Hidden Pitfalls of Adding a Message Queue to Your Architecture

Qunar Tech Salon

Jul 28, 2017 · Backend Development

Ensuring Transaction System Availability with Rate Limiting, Circuit Breaking, Gray Release, Warm‑up, Automated Diff Testing, ARES Regression Tool, and a DAG‑Based Asynchronous Programming Framework

The article describes how a high‑traffic e‑commerce transaction system improves availability through rate limiting, circuit breaking, gray‑release, JVM warm‑up, an online diff testing tool, the ARES regression platform, and a DAG‑driven asynchronous execution framework to boost throughput and reduce latency.

Automated TestingBackendCircuit Breaking

0 likes · 6 min read

Ensuring Transaction System Availability with Rate Limiting, Circuit Breaking, Gray Release, Warm‑up, Automated Diff Testing, ARES Regression Tool, and a DAG‑Based Asynchronous Programming Framework