My company is planning to migrate our legacy infrastructure to a serverless architecture. We need high availability across three continents. I’m torn between AWS Lambda with Global Accelerator and Azure Functions with Front Door. Which platform offers better developer experience and lower latency for global users, especially when integrating with NoSQL databases?
3 answers
Having managed migrations on both, I’d lean toward AWS for a truly global serverless footprint. AWS Lambda@Edge combined with DynamoDB Global Tables provides sub-millisecond replication that is hard to beat. The developer ecosystem and the maturity of the Serverless Framework for AWS are also slightly ahead. However, if your organization is already heavily invested in the Microsoft ecosystem (Active Directory, Office 365), the integration with Azure Functions and Cosmos DB is much more seamless and might save you a lot of headache in identity management.
Kimberly, you mentioned DynamoDB replication being faster. Have you actually benchmarked the cross-region latency compared to Cosmos DB’s multi-master replication? I’ve heard mixed reviews about AWS’s cold start times for multi-region Lambda functions lately, especially with larger runtimes.
Azure is catching up fast, especially with their new Flex Consumption plan for functions. It handles scaling much more gracefully than it used to, making it a viable competitor for high-traffic apps.
I agree with Patricia. The new Azure scaling logic is impressive. If you need tight integration with other enterprise tools, Azure might actually be the more cost-effective choice in the long run.
Steven, cold starts are still a factor, but AWS Provisioned Concurrency has largely mitigated that for us. In our benchmarks, DynamoDB was more consistent for simple key-value lookups, whereas Cosmos DB excelled in more complex query patterns. It really depends on your specific read/write ratio.