Distributed Systems
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Software Development
The FLP Impossibility Result, 40 Years Later: Why It Still Defines Every Consensus Protocol You Use
In 1985, Fischer, Lynch, and Paterson proved that no deterministic algorithm can guarantee consensus in a fully asynchronous system with…
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Core Java
Messaging with HiveMQ MQTT Client
The HiveMQ MQTT Client is a Java library that enables applications to communicate using the MQTT (Message Queuing Telemetry Transport)…
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Software Development
Consistent Hashing: The Algorithm That Makes Distributed Caches and Databases Actually Scale
Theory, variants, and where it breaks — from the 1997 Karger et al. paper to virtual nodes in DynamoDB, Cassandra,…
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Software Development
CRDTs: The Data Structure That Makes Distributed Consistency Optional and What It Costs
Conflict-free Replicated Data Types let replicas diverge freely and still guarantee eventual convergence. Here is the math behind why that…
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Software Development
Temporal Coupling:The Hidden Dependency That Breaks Systems
Race conditions, event ordering failures, and the “works on my machine” mystery all share the same root cause — a…
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Enterprise Java
Getting Started with Distributed Job Scheduling Using ElasticJob
ElasticJob is a distributed job scheduling framework for Java within the Apache ShardingSphere ecosystem. It uses Apache ZooKeeper for distributed…
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Enterprise Java
Pub/Sub Setup Using Spring Boot and Dapr
Building event-driven applications is a common requirement in modern software systems. Pub/Sub messaging helps services communicate asynchronously, improves scalability, and…
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Enterprise Java
Kafka 4.0 & KRaft: The End of ZooKeeper
After 14 years and 100,000+ lines of code, Apache Kafka finally cuts the cord. Here’s everything that changed, and what…
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Software Development
Emergence in Software Systems: When Complexity Arises From Simple Rules
6 minute read • Understanding the unpredictable nature of distributed systems Have you ever watched a flock of birds move…
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