Latest updates for Dual-Write Problem

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Recent items include:

  • Optimistic concurrency is the whole design: event sourcing on Aurora DSQL
  • The Split-Brain Problem in Plain English — And the Three Ways Your Distributed Cache Handles It Wrong
  • Scale Databases: Read/Write Replicas in Laravel

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dev.to /1 month ago

Optimistic concurrency is the whole design: event sourcing on Aurora DSQL

Quorum is an incident command plane built on Amazon Aurora DSQL. The failover story lives in another post. This one is about a narrower question that turned out to be the foundatio...

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javacodegeeks.com /1 month ago

The Split-Brain Problem in Plain English — And the Three Ways Your Distributed Cache Handles It Wrong

Redis Sentinel, Hazelcast, and Infinispan all have split-brain documentation. None of them tell you what your Java code silently observes when it happens. Let’s fix that. A split-b...

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dev.to /3 weeks ago

Scale Databases: Read/Write Replicas in Laravel

The Single-Node Bottleneck In the early days of a B2B SaaS platform at Smart Tech Devs, a single database instance handles everything. When a user submits an invoice, the database...

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brentozar.com /1 month ago

And Then There Was The Time RCSI Actually Made Query Results More Accurate.

Normally when I tell people about SQL Server’s optimistic concurrency isolation levels, Read Committed Snapshot Isolation (RCSI) and Snapshot Isolation (SI), I have to give them a...

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habr.com /3 weeks ago

[Перевод] Что делать, если HTTP‑запрос прошёл, а транзакция в БД откатилась?

Если ваш сервис одновременно пишет в БД и дёргает внешние API, прямо сейчас у вас есть как минимум один из этих сценариев:– деньги списаны, заказа в базе нет;– товар на складе забл...

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dev.to /1 month ago

GBase 8a Data Sync in Practice: T+1 Replication, Real‑Time Mirroring, and Write‑Once‑Read‑Many

Data synchronization in GBase 8a isn't just "primary‑standby replication." Different business requirements — real‑time, disaster recovery, read/write splitting — lead to completely...

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dzone.com /1 month ago

Master-Class: Understanding Database Replication (Single, Multi, and Leaderless)

Replication = same data, multiple nodes. You do it for three reasons: to survive node failures, serve reads from nearby replicas, or spread load. Simple enough. The algorithm you p...

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dev.to

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habr.com

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brentozar.com

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javacodegeeks.com

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