fast_check_once VS dapr

A long time ago I implemented a similar (less flexible) thing for C, also as a sort of goofy learning experience:

https://github.com/mgraczyk/fast_check_once/blob/master/fast...

I've been playing with this thing recently called Dapr (you can blame @marcduiker for me finding out about the project).

In the demo application architecture deployed into Azure Container Apps, we leverage Dapr for its distributed application runtime capabilities. Before diving into Dapr, let's refresh one of the design patterns called the Sidecar pattern, as Dapr is deployed as a sidecar. For more details, you can visit the Dapr website.

dapr.io project

The sidecar pattern in Kubernetes describes a single pod containing a container in which a main app sits. A helper container (the sidecar) is deployed alongside a main app container within the same pod. This pattern allows each container to focus on a single aspect of the overall functionality, improving the maintainability and scalability of apps deployed in Kubernetes environments. From gathering metrics to connecting to data sources (a la Dapr), sidecars have found a notable place in the cloud-native developer’s toolbox. Sidecars are designed to run alongside your apps continuously and do not scale down to zero. Wouldn't it be great if they did? In this article, we introduce scaling sidecars to zero in Kubernetes.

Dapr provides a set of building blocks that abstract concepts commonly used in distributed systems. This includes secured synchronous and asynchronous communication between services, caching, workflows, resiliency, secret management and much more. Not having to implement these features yourself eliminates boilerplate, reduce complexity and allows you to focus on developing your business features.

Diagrid Catalyst is a Developer API platform providing a brand-new approach to distributed application development. Using the Catalyst APIs, powered by the Dapr open source project, developers can overcome the complexity of rewriting common software patterns and achieve higher productivity by offloading infrastructure concerns from their code to Catalyst.

The following two examples are open-source projects maintained by Fermyon with contributions from companies like Microsoft and SUSE. The first is Spin, which allows us to use WebAssembly to create Serverless applications. The second, SpinKube, combines some of the topics I'm most excited about these days: WebAssembly and Kubernetes Operators :) The official website says, "By running applications in the Wasm abstraction layer, SpinKube offers developers a more powerful, efficient, and scalable way to optimize application delivery on Kubernetes." By the way, this post shows how to integrate SpinKube with Dapr, another technology I'm very interested in, and I should write some posts soon.

Speaking of this has anyone had much experience with Dapr (https://dapr.io/) before?

I always thought this was a particularly interesting approach from Microsoft where they use this pattern to essentially take the complexity of micro services and instead try and keep it as simple as a normal .NET application but (and I think this is the clever part) in both a vendor and language neutral way.

But all of a sudden it means you can start removing all kinds of cruft and random SDKs from your codebase and push almost all of your interactions with the outside world into something like this .

Azure Container Apps hosting of Azure Functions is a way to host Azure Functions directly in Container Apps - additionally to App Service with and without containers. This offering also adds some Container Apps built-in capabilities like the Dapr microservices framework which would allow for mixing microservices workloads on the same environment with Functions.