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Based on our record, Apache Camel should be more popular than runc. It has been mentiond 12 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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
"correct" is a value judgement that depends on lots of different things. Only you can decide which tool is correct. Here are some ideas: - https://camel.apache.org/ - https://www.windmill.dev/ Your idea about a queue (in redis, or postgres, or sqlite, etc) is also totally valid. These off-the-shelf tools I listed probably wouldn't give you a huge advantage IMO. - Source: Hacker News / 9 months ago
This reminds me more of Apache Camel[0] than other things it's being compared to. > The process initiator puts a message on a queue, and another processor picks that up (probably on a different service, on a different host, and in different code base) - does some processing, and puts its (intermediate) result on another queue This is almost exactly the definition of message routing (ie: Camel). I'm a bit doubtful... - Source: Hacker News / over 1 year ago
Since you're writing a Java app to consume this, I highly recommend Apache Camel to do the consuming of messages for it. You can trivially aim it at file systems, message queues, databases, web services and all manner of other sources to grab your data for you, and you can change your mind about what that source is, without having to rewrite most of your client code. Source: over 1 year ago
For a simple sequential Pipeline, my goto would be Apache Camel. As soon as you want complexity its either Apache Nifi or a micro service architecture. Source: over 1 year ago
🐪 Apache Camel : Camel JBang, A JBang-based Camel app for easily running Camel routes. - Source: dev.to / over 1 year ago
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