Dev Systems

A New Ranking Framework for Better Notification Quality on Instagram

We’re sharing how Meta is applying machine learning (ML) and diversity algorithms to improve notification quality and user experience. We’ve introduced a diversity-aware notification ranking framework to reduce uniformity and deliver a more varied and engaging mix of notifications.This new framework reduces the volume of notifications and drives higher engagement rates through more diverse outreach.Notifications are one of the most powerful tools for bringing people back to Instagram and enhanci

At Least Once Delivery: Why Every Distributed System Breaks Without Idempotency

Your Kafka consumer processes a payment event, writes to the database, then crashes before acknowledging. The message gets redelivered…

Monitoring vs Observability in Distributed Systems

Monitoring alerts you to issues; observability tells you why. This guide breaks down their differences and how to implement observability…

Combinatorial Testing: A Weapon in High-Scale Distributed Systems

The Curse of the Microservice: When Distributed Systems Go Rogue

We broke up our monolith to achieve freedom. Instead, we built a distributed house of cards. Here’s how we made it resilient.

🔥 Popular Distributed Systems Interview Questions & Answers

1. What is the CAP theorem?

🌐 I Tried Designing 10 Distributed Systems in 10 Days — Here’s What I Learned !!!

Ten days. Ten distributed system designs !!! No, it wasn’t a corporate death march — it was my own challenge to push the limits of my…

How Would You Implement a Retry Mechanism in a Distributed System?

Retry mechanisms are crucial when building resilient distributed systems. But they’re not as simple as calling tryAgain() after a failure…

Advanced Error Handling in Distributed Systems: Patterns and Practices

Last week, I was debugging an issue where our recommendation service was mysteriously slow. Requests that usually took 50ms were timing out…

My AI Development Workflow That Changed Everything

From Quick Prototypes to Full AI-Powered Systems

7 AI-Powered Development Workflows That Can Generate $50K+ in Passive Income While You Sleep

The complete blueprint to automating your entire development process and turning your expertise into recurring revenue streams

Cursor AI: Mastering the Six Essential Practices That Will Transform Your Development Workflow

Coding

Python Tricks That Transformed My Daily Development Workflow

How I Stopped Wasting Time and Started Writing Cleaner Code

7 Hidden Cargo Features That Will Transform Your Rust Development Workflow

How I Built a Multi-Agent AI System That Changed My Development Workflow Forever

How I Built a Multi-Agent AI System That Changed My Development Workflow Forever

Gmail's protections are strong and effective, and claims of a major Gmail security warning are false.

<img src="https://storage.googleapis.com/gweb-uniblog-publish-prod/images/gmail_logo.max-600x600.format-webp.webp">Gmail’s protections are strong and effective. Claims that we issued a warning to Gmail users about a major Gmail security issue are false.

Show HN: Aspen – Distributed Data Platform

This post is to announce Aspen, a new player in the distributed data space. It&#x27;s designed to fill a niche which is currently not well-served by existing tools which is to be a general-purpose distributed data platform for building higher-level applications like object stores, distributed file systems, distributed indices, databases, etc.What sets Aspen apart is that it uses a new approach to achieving scale that focuses on maximizing flexibility both in options available during application

Show HN: I implemented a RNN from scratch by reading a dense neural network book

Hi everyone. I have been learning about deep learning for some time, and I&#x27;ve tried to implement CNN, neural networks, U-Net, transformers etc. to learn and understand them more and also to get my hands dirty on the frameworks, however I&#x27;ve noticed that many tutorials online are not very detailed, so concepts are not explained clearly, so people would understand neural networks only shallowly. On the other hand, many sources like books may show many, many equations but do not show the

Show HN: A transactional event-driven application platform on Cassandra

Cyoda is a platform for building enterprise-grade, data-intensive backend systems.We’re a small software vendor company with fintech startup clients in production for several years, and we have launched Cyoda as a PaaS to make this technology accessible to a broader audience.You can think of Cyoda as having event sourcing + workflow engine + horizontally scalable database in one integrated system. Processing is transactional, querying is distributed and resilient, and business logic stays modula

Show HN: TypeKro – TypeScript infra-as-code for Kubernetes built on KRO

Hi all,I&#x27;ve been building yet another tool to let people build on Kubernetes and escape the pain of YAML. I&#x27;ve open sourced it under the Apache-2.0 license and would love some feedback.The tool was inspired by KRO (https:&#x2F;&#x2F;kro.run) (a project recently released by Amazon) and builds on top of it. TypeKro is aimed at providing a declarative type-safe user experience to orchestrating complex kubernetes dependencies with TypeScript, so you get your intelli-sense and all the other