Are you now ready to dig into what you can actually do with real code using serverless computing cloud services like Azure Functions? If so, you should download and read the free Azure Serverless Computing Cookbook that describes with rich code examples and how to solve common problems using serverless Azure Functions.
Azure Service Bus now sends events to Azure Event Grid. The key scenario this feature enables is for Service Bus queues, topics, or subscriptions with low message volumes to not require a receiver...
Are you building a new application which requires low latency at any scale? Or are you in the process of migrating your NoSQL databases to the cloud? Or looking for the right resources to help you get started with Azure Cosmos DB?
“Cold start” is a large discussion point for serverless architectures and is a point of ambiguity for many users of Azure Functions. The goal of this post is to help you understand what cold start is, why it happens, and how you can architect your solutions around it.
If you are building an IoT solution in the cloud, chances are your focus is on the devices and what you can accomplish with them. You might want to process data coming from a network of devices in…
Modern applications are taking maximum advantage of the agility and flexibility of the cloud by moving away from monolithic architectures and instead using a set of distinct services, all working…
Serverless provides a great model for accelerating app development, but developers want to do it using the programming languages and development tools of their choice. Ever since we first released…
Up until recently, software development has been revolving around the concept of a server. Provisioning, maintaining, and scaling applications has been something that developers needed to spend a lot of time and effort on.
With the increased popularity of serverless, we hear from developers from all kinds of backgrounds and preferences. Many of them are building truly impressive serverless applications.
Customers often ask us about the scalability and throughput limits of the consumption plan for Azure Functions. The short answer is always “it depends, what does your workload look like?”.