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A technical guide to building event-driven systems using Cosmos DB Change Feed with Azure Functions, covering minimal architecture, trust boundaries, monitoring, failure modes, and design evolution triggers.
Use the Azure Cosmos DB SQL API change feed to stream inserts, updates, and deletes to caches and read models without polling the whole container.
Learn how to set up Cosmos DB’s Change Feed Processor for reliable event‑driven workloads, tune lease containers, scale workers, and handle deletes. The guide covers practical code, tuning knobs, and a checklist to avoid common pitfalls.
Find out why your Cosmos DB Change Feed processor is falling behind and apply targeted fixes based on measured causes.
Enable Cosmos DB’s Change Feed on a SQL container, consume it with the Change Feed Processor, and wire to Azure Functions for real‑time pipelines. Learn trade‑offs, deduplication, and practical steps to build event‑driven apps.
Replace inefficient polling with Cosmos DB's change feed: ordered per-partition events, automatic scaling via the Change Feed Processor, and a C# worked example. Key limitation: deletes require soft-delete or tombstone patterns.
Cosmos DB Change Feed lets you react to every write in real time. This guide explains how to enable it, consume changes with the .NET SDK, handle filtering, multi‑region writes, and key trade‑offs. Follow the checklist to build a reliable event‑driven pipeline.
Learn how to turn Cosmos DB into an event source by enabling the Change Feed, setting up a lease container, and using the Change Feed Processor Library in C#. The guide covers configuration, validation, monitoring, and fallback strategies for reliable event handling.
Learn how Azure Cosmos DB Change Feed can synchronize data into multiple containers, each partitioned for a different query pattern, to avoid expensive cross‑partition scans.
cosmosdb
dotnet
csharp
azure