Drasi: Microsoft's open source data processing platform for event-driven systems

Looks very Azure-centric. Both installation guides (https://drasi.io/how-to-guides/install-sample-applications/b... and https://drasi.io/how-to-guides/install-sample-applications/c...) require Azure to work.

And then there's this:

> Installing Drasi in an EKS cluster can be significantly more complex than a standard installation on other platforms. Instead of downloading a CLI binary using the provided installation scripts, this approach requires modifying the source code of the Drasi CLI and building a local version of the CLI.

Is this an actual requirement or just the current easy path?

That is usual for new Microsoft open source projects. It takes 1-2 months for the Azure dependencies to go away.

Azure is the new Windows, as timesharing OS, thus yeah that is to be expected.

Does it require Azure to work? Or could the Azure steps be relatively easily be swapped out for AWS/GCP/etc?

Azure SRE here, it doesn't appear to have any Azure dependencies. CLI rebuild seems to be that "drasi init" assumes Azure Kubernetes Service built in StorageClasses for Kubernetes PVC for Redis and Mongo and thus fails when running against EKS. I assume same thing would be required on GKE. Yes, it should be more modular but MVP.

As for other stuff, it's using Gremlin Query Language or Postgres which are both open. In fact, it's going out of way it's not to use Azure authenication as loading connection string as Kubernetes secret is 100% AGAINST Azure Kubernetes Best Practice. Best Practice would be Workload Identity.

> CLI rebuild seems to be that "drasi init" assumes Azure Kubernetes Service built in StorageClasses for Kubernetes PVC for Redis and Mongo and thus fails when running against EKS. I assume same thing would be required on GKE. Yes, it should be more modular but MVP.

None of these words are in the Bible.

I'm curious about the other examples? I get it though, as many of these projects are built fulfilling a specific need within MS infrastructure.

Every bit of Microsoft open source is created at least partly as a sales strategy for Azure. They usually start within the Azure infrastructure because, well, why wouldn’t they? Then eventually they tend make it to where you can use them outside of Azure but they never quite leave the part where they are “better” if you’re an Azure customer.

Time will tell if Drasi is going to go the path where it becomes more easily useable outside of Azure (and in this case AWS) or it’ll go more of a Bicep route.

I am the Drasi engineering lead and can assure you that any Azure-centricity is purely one of historical convenience and a lag in getting more of our non-Azure-centric doc, samples, and components published.

The main current dependency is having a K8s cluster.

You can run Drasi for dev/test on k3s(https://drasi.io/how-to-guides/installation/install-on-k3s/) or kind(https://drasi.io/how-to-guides/installation/install-on-kind/) and docker desktop also works but is undocumented.

Cloud based options include AKS (we will release the instructions soon) and EKS as mentioned. When we tested on EKS, we hit some storage class issues and decided to publish this with some work-arounds instead of holding back until we do a proper fix, which we will prioritize if there is demand.

On prem K8s should also work, but we haven't put resources into testing those scenarios. We would love to engage with anybody that would be willing to try this out.

Also, in the future we are thinking about other delivery platforms, not just K8S. You will see in the code that our dependency on k8s is abstracted.

If you have any questions, the Drasi Team is most active over on our discord channel (https://aka.ms/drasidiscord) and we would love to answer your questions and help ypu get started using Drasi.

As mentioned above, Kubernetes is (intended to be) our only platform dependency right now. Drasi is not yet ready for production use and can be explored using k3s, kind, AKS, and EKS, which we felt provided sufficient initial options for people to choose from.

In the coming weeks we will get more of our Sources and Reactions documented as well as docs on how to create custom Sources and Reactions. In the short term, if people have Sources and Reactions they want so they can integrate with a wider range of up and downstream systems, we would love to help support their efforts in developing these.

The Drasi Team is most active over on discord channel (https://aka.ms/drasidiscord), where we are happy to answer questions and help people get started using Drasi.

Drasi does not require Azure to work. You install Drasi on a Kubernetes cluster, configure a Drasi Source to connect to a supported database, write Continuous Queries in Cypher Query Language, and configure a Drasi Reaction to do something with the output of the Continuous Query. For K8S, you can currently use k3s, kind, AKS (docs coming soon), or EKS (requires some work arounds).

Drasi docs are here - https://drasi.io/

The Drasi Team is most active over on discord, where we are happy to answer questions and help get people started using Drasi (https://aka.ms/drasidiscord)