#fault-tolerance articles

SSagunsagunwrites.hashnode.devAug 22 · 5 min read

What Is a Clustered Operating System?

What if multiple computers could work together so that a service can continue operating even when one computer experiences a failure? This is the basic idea behind a clustered system. Instead of depen

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SMSahasrajith Mconcurrency-in-go.hashnode.devAug 10 · 57 min read

I Built a Database That Survives Its Own Servers Dying. Here's How.

1. The problem nobody warns you about Let me begin with a small confession. When I first heard the phrase "fault-tolerant distributed system," I imagined it was mostly a matter of buying more machines

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JMJoselo Martinezdesignednotmagic.hashnode.devJun 14 · 4 min read

Agentic Systems Beyond the Hype: Why You Need Both Local and Global Perspectives to Build Agentic Systems

Having both local and global perspectives is one of the most valuable skills a software engineer can develop. We learned this lesson in distributed systems and cloud computing, where the behavior of a

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ESEric Siwakotiericsiwakoti.hashnode.devMay 10 · 3 min read

From Model to Production: Auto-Subtitles for Vimeo & Stripe Automation

Engineering post-mortems from teams shipping AI features at scale reveal a single recurring truth: success depends less on model quality and more on designing systems that anticipate and contain failu

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NVNguyễn Việt Tùngdevpath-traveler.nguyenviettung.id.vnApr 19 · 19 min read

BFF Resilience Patterns: Circuit Breakers, Retries & Timeouts with Polly

A BFF that aggregates four upstream services inherits four independent failure modes. Any one of them can be unavailable, slow, or intermittently returning errors at any time. The question is not whet

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AAAbstract Algorithmsabstractalgorithms.hashnode.devApr 5 · 13 min read

Data Anomalies in Distributed Systems: Split Brain, Clock Skew, Stale Reads, and More

TLDR: Distributed systems produce anomalies not because the code is buggy — but because physics makes perfect consistency impossible across network boundaries. Split brain, stale reads, clock skew, ca

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MMMainak Mukherjeemainakkaniam.hashnode.devMar 14 · 8 min read

Backend Error Handling: Building Fault-Tolerant Systems (Modern Guide for Engineers & Interviews)

Backend systems fail. Databases disconnect, APIs timeout, users send bad input, and business logic behaves unexpectedly under real traffic. A strong backend engineer does not assume systems will work

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KGklement Gunnduklementgunndu1.hashnode.devMar 7 · 12 min read

Your AI Agent Just Lost 3 Hours of Work. Here's Why.

Your AI Agent Just Lost 3 Hours of Work. Here's Why. Your AI agent was 87% through a complex research task when the process crashed. Python threw an OOM error. The container restarted. When you checked the logs, everything was gone. Three hours of LL...

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ATAlair Tavares Jralair.hashnode.devMar 4 · 8 min read

Building Resilient Integrations: Implementing Retries with Exponential Backoff in Python

In the world of microservices and third-party APIs, network communication is the lifeblood of our applications. We integrate with payment gateways, query data providers, and send notifications through external services. But what happens when the netw...

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ARAditya Raj Singhblog.adityarajsingh.inFeb 23 · 8 min read

Terraform on AWS: Deploy a Highly Available Django App with Auto Scaling and Load Balancing

In the world of cloud computing, terms like “highly available” and “scalable architecture” often float around in whitepapers, certification courses, and online tutorials. They’re buzzwords that sound

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