Lost update: two processes read, modify, and save the same document — the last write overwrites the first. ETags and IfMatchEtag prevent the problem, with retry on PreconditionFailed and the Patch alternative for targeted operations.
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When you need writes in multiple regions and what price you pay: consistency levels in a multi-region context, conflict resolution with Last-Writer-Wins and custom policies, plus configuring the .NET SDK.
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Change Feed transforms the container into an event source: every insert and update becomes a trigger. Change Feed Processor in .NET, lease container, scaling across multiple instances, and practical cases.
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How to choose the correct partition key in Cosmos DB: cardinality, distribution, and alignment with query patterns. Cross-partition queries, hierarchical partition keys, and concrete examples from an AI chat system.
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The dual-write problem: the database and the message cannot be updated atomically. Outbox pattern with Cosmos DB and Service Bus: you save the event alongside the data, a dispatcher guarantees its publication, idempotent consumers close the loop.
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What happens when processing fails: delivery count and abandonment, dead-letter queue, the difference between transient and permanent errors, retry with exponential backoff, and reprocessing of dead messages.
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Complete implementation with Azure.Messaging.ServiceBus: ServiceBusClient with Managed Identity, message publishing with properties and batching, robust consumption with ServiceBusProcessor and the settings that matter.
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When you replace synchronous HTTP calls with asynchronous messaging, what problems does decoupling through messages solve and what is the fundamental difference between Queue and Topic/Subscription in Azure Service Bus.
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