#fault-tolerance

ARAditya Raj Singhblog.adityarajsingh.in

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

5d ago8 min read

JPJessica Patelfreecodecamp.org

How to Build Your Own Circuit Breaker in Spring Boot – and Really Understand Resilience4j

This article explains how to design and implement your own circuit breaker in Spring Boot using explicit failure tracking, a scheduler-driven recovery model, and clear state transitions. Instead of relying solely on Resilience4j, we’ll walk through t...

Feb 1620 min read

FRFelipe Rodriguesblog.felipefr.dev

Bulkhead Pattern for System Isolation

The fundamental challenge of modern distributed systems is not how to build for success, but how to design for inevitable failure. In a microservices architecture, the surface area for disaster is massive. A single latent dependency, a saturated data...

Feb 312 min read

UMUttam Mahatauttammahata.hashnode.dev

Guide to Creating a High Availability CTFd Environment on IBM LinuxONE

Capture The Flag (CTF) platforms are highly sensitive to availability, latency, and data consistency. During competitive events, even brief downtime can invalidate the entire experience for participants. This article documents a High Availability (HA...

Jan 224 min read

SGSanya Guptaexplaining-rate-limiter-system-design.hashnode.dev

Explaining Load Balancers

Sia was a CSE student. One day she built an AR/VR based gaming project. Unexpectedly it blew up overnight. There were too many users and her netlify free suscription servers could not handle the load. To solve the problem she rented some servers. How...

Jan 1011 min read

MKManish Krishna Kandrakotamk07codeops.hashnode.dev

Designing NodeSync: A Distributed Key-Value Store with Replication, Consensus, and Failure Handling

Introduction Distributed systems are defined less by what they do and more by what can go wrong. NodeSync is a distributed key-value store built to explore this reality firsthand. Instead of abstract algorithms, NodeSync focuses on concrete behaviors...

Dec 23, 20255 min read

VVaishnavigovidivenivici.com

Choosing the Right Database for a Flight Plan System

Executive Summary Flight plan systems are message-driven state machines, not simple CRUD applications.At large airspace scale, raw performance is rarely the limiting factor.Safety, correctness, and long-term durability determine whether the system re...

Dec 20, 20256 min read

SHShih-min Hsurisingwave.com

Giving Streaming Systems Memory: Checkpointing and Progress Recovery

Yesterday, we learned how to make a system hit the brakes when it’s overloaded. But there’s an even more important question: How does the courier know how far they’ve gotten? Today, let’s talk about checkpoint. The Courier’s Memory Problem: Which Pac...

Dec 17, 202510 min read

SShashaankarsystemsnsentience.hashnode.dev

Distributed snapshots: determining global states of distributed systems

Chandy and Lamport, ACM TOCS 1985 SummaryThe main idea of the paper is to determine the consistent global state of the asynchronous system and ascertain whether a stable property holds for that state. The author presents a marker-based algorithm in w...

Dec 11, 20251 min read

JSjaya sakthitechzen.hashnode.dev

1.3. High Availability & Fault Tolerance: The Art of Not Breaking

High Availability & Fault Tolerance: The Art of Not Breaking (Or At Least Recovering Quickly) Ever wondered how giants like Google, Amazon, or Netflix stay online pretty much all the time? The secret sauce is a well-designed system focusing on High A...

Nov 23, 20254 min read

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#fault-tolerance

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

How to Build Your Own Circuit Breaker in Spring Boot – and Really Understand Resilience4j

Bulkhead Pattern for System Isolation

Guide to Creating a High Availability CTFd Environment on IBM LinuxONE

Explaining Load Balancers

Designing NodeSync: A Distributed Key-Value Store with Replication, Consensus, and Failure Handling

Choosing the Right Database for a Flight Plan System

Giving Streaming Systems Memory: Checkpointing and Progress Recovery

Distributed snapshots: determining global states of distributed systems

1.3. High Availability & Fault Tolerance: The Art of Not Breaking

#fault-tolerance

Search Hashnode

#fault-tolerance

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

How to Build Your Own Circuit Breaker in Spring Boot – and Really Understand Resilience4j

Bulkhead Pattern for System Isolation

Guide to Creating a High Availability CTFd Environment on IBM LinuxONE

Explaining Load Balancers

Designing NodeSync: A Distributed Key-Value Store with Replication, Consensus, and Failure Handling

Choosing the Right Database for a Flight Plan System

Giving Streaming Systems Memory: Checkpointing and Progress Recovery

Distributed snapshots: determining global states of distributed systems

1.3. High Availability & Fault Tolerance: The Art of Not Breaking