The first reason is that serverless architectures are inherently scalable and elastic. They automatically scale up or down based on the incoming workload without requiring manual intervention through serverless compute services like AWS Lambda, Azure Functions, or Google Cloud Functions. - Source: dev.to / 29 days ago

The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / about 1 month ago

One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 7 months ago

I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 8 months ago

Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 11 months ago

It's interesting that, in light of things like this, you still see large software companies adding support for new components written in non-memory safe languages (e.g. C) As an example Red Hat OpenShift added support for crun(https://github.com/containers/crun), which is written in C as an alternative to runc, which is written in Go( - Source: Hacker News / 9 months ago

Yeah, runtimeClass lets you specify which CRI plugin you want based on what you have available. Here's an example from the containerd documentation - you could have one node that can run containers under standard runc, gvisor, kata containers, or WASM. Without runtimeClass, you'd need either some form of custom solution or four differently configured nodes to run those different runtimes. That's how krustlet did... Source: over 1 year ago

Your Docker Container can only run Linux. That's because Docker takes advantage of runC which uses the Linux kernel. You can't run Windows inside of Docker. But of course you can run Docker on a Windows host machine. If you are running a .NET project, you won't be able to use Docker. On the other hand, if you're running .NET Core then you're in luck! - Source: dev.to / almost 2 years ago

This is what Podman, an open-source daemonless and rootless container engine, was developed with in mind. Podman runs using the runC container runtime process, directly on the Linux kernel, and launches containers and pods as child processes. In addition, it was developed for the Docker developer, with most commands and syntax seamlessly mirroring Docker's. Buildah, an image builder, and Skopeo, the image utility... - Source: dev.to / almost 2 years ago

If you are curious about how exactly Docker does this I urge to have a look at the following links on layered file system and the library runc and also this great wikipedia overview of Docker. - Source: dev.to / almost 2 years ago