Clusters on top of/layered across /extended other clusters?

[kbrady-vibrato]

Hi,

First off - thanks for an awesome diagramming tool - its been a really good experience the last couple of days getting stuff down in my head in to code.

That said, I have hit a bit of a quandary trying to represent a scaling set across 2 Azure subnets - this would be 3 clusters ideally:

with Cluster("SubnetA"):
  with Cluster("Scaling Set"):
    nodes = [
      VMLinux("node"),
      VMLinux("node")
  ]

with Cluster("SubnetB"):
  <include Cluster("Scaling Set") somehow>

I would like the Scaling Set cluster to be extended across both SubnetA and SubnetB - is this possible?

Thanks for all your hard work!

[Karreg]

Hello,

I juste discovered your tool this morning, and I agree this is a great tool that deserve to be known! I've been looking for something like that for years.

I agree with this request. Another basic use case is cloud organization through multiple AZs.

A DB cluster is a cluster, but each node are in a different AZ, each AZ being clusters too...

[mingrammer]

Interesting. I'll have to review if this is possible and get back to here. Thank you.

[acere]

Amazing tool, it could easily become my daily go-to, if this feature can be implemented!

[clayms]

@kbrady-vibrato @acere @Karreg
Is below along the lines of what you were thinking?

from diagrams import Diagram, Cluster, Edge, Node

graph_attr = {
    "layout":"neato",
    }

scaling_clus_attr = {
    "bgcolor":"transparent",
    "pencolor":"blue",
    "penwidth":"4.0"
    }

with Diagram("\n\nOverlapping Clusters", show=False, graph_attr=graph_attr) as diag:

    with Cluster("SubnetA"):
        A_UpLf = Node("", shape="plaintext", pin="true", pos="0,4")
        A_LwRt = Node("", shape="plaintext", pin="true", pos="4,0")
    with Cluster("SubnetB"):
        B_UpLf = Node("", shape="plaintext", pin="true", pos="6,4")
        B_LwRt = Node("", shape="plaintext", pin="true", pos="10,0")
    with Cluster("Scaling Set", graph_attr=scaling_clus_attr):
        SS_UpLf = Node("", shape="plaintext", pin="true", pos="2,3")
        SS_LwRt = Node("", shape="plaintext", pin="true", pos="8,1")
        n1 = Node("node 1", shape="circle", labelloc="c", pin="true", pos="3,2")
        n1 = Node("node 2", shape="box",    labelloc="c", pin="true", pos="7,2")


diag

[kbrady-vibrato]

hi @clayms - yes this is pretty much what i envisioned

[acere]

Thanks @clayms, this is the correct visual representation!

It would be great to be able to achieve the same without having to manually pin down the cluster and the nodes, but I understand that computing the correct item position becomes quickly hard to manage.

[Karreg]

Yes, it's exactly the need. Without position computing it would be great (since any other component can move on it's own).