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188Apr 19 · 16 min read · 🔥 When Your Database Bill Triples Overnight A retail engineering team ships a flash-sale feature. Traffic spikes 10×. Their Azure CosmosDB bill triples within 24 hours. Queries that ran in 5ms now take 800ms. The on-call engineer bumps provisioned R...
Join discussionApr 8 · 5 min read · Migrating from relational databases to NoSQL solutions like Amazon DynamoDB offers significant advantages in scalability and flexibility. However, a critical challenge often emerges: the generation of
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Apr 5 · 35 min read · TLDR: ACID transactions in distributed databases are not equal. DynamoDB provides multi-item atomicity scoped to 25 items using two-phase commit with a coordinator item, but only within a single region. Cosmos DB wraps partition-scoped operations ins...
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Apr 5 · 35 min read · TLDR: NoSQL databases trade cross-entity atomicity for scale — and every database draws that atomicity boundary in a different place. MongoDB's boundary is the document (pre-4.0) or the replica set (4.0+ multi-doc transactions). DynamoDB's boundary i...
CCamma commentedApr 5 · 27 min read · TLDR: Sharding splits your database across multiple physical nodes so no single machine carries all the data or absorbs all the writes. The strategy you choose — range, hash, consistent hashing, or directory — determines whether range queries stay ch...
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Apr 5 · 23 min read · TLDR: Cosmos DB's six API modes are wire-protocol compatibility layers over one shared ARS storage engine — except PostgreSQL (Citus), which is genuinely different. Every API emulates its native database incompletely, and those gaps are structural, n...
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