Architecture note on deploying Azure Cosmos DB with multi‑region writes, automatic conflict resolution, and operational guardrails for globally distributed low‑latency workloads.
Cross-partition queries eating your RU budget? Cosmos DB's Change Feed lets you project writes into a second container with a different partition key — here's how the lease/checkpoint machinery works, a working Functions example, and the lag and idempotency traps to design for.
A diagnostic guide for Azure Cosmos DB hot partitions: recognize throttling on a single logical partition despite healthy account-level metrics, identify the skewed partition key pattern, run ordered verification queries, apply targeted key redesigns, and know when to escalate.
Learn how to decouple your Azure Cosmos DB writes from downstream processing using the Change Feed and Change Feed Processor (CFP) to build scalable, event-driven architectures.
The change feed is always on for SQL API containers, so the real work is designing for per-partition ordering and at-least-once delivery. Here is a concrete Azure Functions setup and how to verify it.
I am designing an application with intermittent, low‑traffic patterns (average‑to‑peak ratio < 10 %) that will store key‑value data in Azure Cosmos DB for Table. To keep expenses predictable and low, I plan to use a serverless account so that I pay only for the request units (RUs) actually consumed and for storage, without any minimum throughput commitmen
The cloud computing landscape is no longer a nascent frontier but a mature, complex ecosystem where providers vie for dominance through an ever-expanding array of…
Goal I want to run integration tests for an application using the Azure Cosmos DB NoSQL API without production credentials, relying on the documented Azure Cosmos DB Emulator with its well-known key on localhost. The open decision is whether emulator-only testing is sufficient, or whether some test cases must still target a real dev-tier account. Constraints