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Understanding the core mechanics of ThingsDB
Query Handling When a query is sent to a ThingsDB node, the node first checks its own status. - If the node is in AWAY mode, it does not process the request lo...
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Day 01 - One Key, One Coordinator
Previously in Day 00, we talked about the moment systems become expensive: when the answer is “maybe”. If you haven’t read it, this post is part of a series —...
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Fanout at Scale: Push vs. Pull Strategies in Distributed Systems
Modern systems don’t fail because they can’t store data — they fail because they can’t deliver the right data to the right consumers at the right time. The fano...
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Day 00 - Prelude
If this has happened to you… - Two requests update the same thing at the same time race conditions - Retries create duplicate effects double emails, double cha...
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Databse Sharding vs Partition
Differences of Database Sharding and Partition What is Database Sharding - Horizontal Data Distribution – Data is split into shards, each stored on a separate...
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Idempotency
In distributed systems, the assumption that every request reaches its destination and that every response returns to the sender is not always true. When a trans...
- · ai
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
TensorFlow is a tool that helps people make apps that can learn from data. It runs on tiny phones and on huge servers, so the same idea can be used at home or i...
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Building A Distributed Video Transcoding System with Node.js.
Building a Distributed Video Transcoding System with Node.js !Cover image for Building A Distributed Video Transcoding System with Node.js.https://media2.dev.t...
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P: Formal Modeling and Analysis of Distributed (Event-Driven) Systems
Article URL: https://github.com/p-org/P Comments URL: https://news.ycombinator.com/item?id=46299257 Points: 6 Comments: 0...
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Building Portfolio Insights: Lessons from an Event‑Driven .NET Microservices Dashboard
'Portfolio Insights – Personal Finance Dashboard Built with .NET 8, RabbitMQ, gRPC, Docker micro‑services architecture
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What I’m trying to understand
Background I’m a software engineer at a mid‑level, and I started my career building web applications, mostly with Ruby on Rails. Over time I worked with other...
- · software
Why Idempotency Is So Important in Data Engineering
In data engineering, failures are the norm: jobs crash, networks timeout, Airflow retries tasks, Kafka replays messages, and backfills rerun months of data. In...