Scalability
Serverless at Scale: Serving StackOverflow-like Traffic
Scalability test for HTTP-triggered serverless functions across AWS, Azure and GCP
Read more...From 0 to 1000 Instances: How Serverless Providers Scale Queue Processing
Comparison of queue processing scalability for FaaS across AWS, Azure and GCP
Read more...Load Testing Azure SQL Database by Copying Traffic from Production SQL Server
Azure SQL Database is a managed service that provides low-maintenance SQL Server instances in the cloud. You don’t have to run and update VMs, or even take backups and setup failover clusters. Microsoft will do administration for you, you just pay an hourly fee.
Read more...Azure Functions Get More Scalable and Elastic
Back in August this year, I’ve posted Azure Functions: Are They Really Infinitely Scalable and Elastic? with two experiments about Azure Function App auto scaling. I ran a simple CPU-bound function based on Bcrypt hashing, and measured how well Azure was running my Function under load.
Read more...Azure Functions: Are They Really Infinitely Scalable and Elastic?
Updated results are available at Azure Functions Get More Scalable and Elastic.
Automatic elastic scaling is a built-in feature of Serverless computing paradigm. One doesn’t have to provision servers anymore, they just need to write code that will be provisioned on as many servers as needed based on the actual load. That’s the theory.
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