Distributed Systems
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Software Development

Event Sourcing vs CDC: Choosing the Right Pattern
Both patterns produce a stream of state changes â yet they sit at entirely different layers of your stack, solve…
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Software Development

Idempotency Keys Are Harder Than They Look: The 5 Failure Modes Nobody Talks About
Every payment guide, every microservices tutorial, and every distributed-systems primer tells you the same thing: make your endpoints idempotent. Add…
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Software Development

The Fundamental Tension Between Consistency and Availability Is Not a Technical Problem. It’s a Business Decision Most Engineers Are Making Alone
CAP theorem gets taught as a distributed systems concept. What’s completely missing is the organisational dimension: engineers are making these…
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Software Development

Durable Execution: What Temporal and Conductor Are Solving That Queues Can’t
Message queues have served us well for two decades. But as distributed systems grow more complex â and as AI…
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Software Development

The FLP Impossibility Result, 40Â 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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Software Development

Consistent Hashing: The Algorithm That Makes Distributed Caches and Databases Actually Scale
Theory, variants, and where it breaks â 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 â a…
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