## Composition by architecture modules

Each [architecture module and platform](platforms.md) can contribute code to any of the runtimes.
Not every module contributes to every runtime.

The core-runtime module defines each runtime:

- The target JVM for the runtime. Each runtime has its own JVM compatibility constraints.

            value: "{{ $.Values.global.multiCluster.clusterName | default `Kubernetes` }}"
          - name: GOMEMLIMIT
            valueFrom:
              resourceFieldRef:
                resource: limits.memory
          - name: GOMAXPROCS
            valueFrom:
              resourceFieldRef:
                resource: limits.cpu
          - name: PLATFORM
            value: "{{ .Values.global.platform }}"

## Composition by architecture modules

Each [architecture module and platform](platforms.md) can contribute code to any of the elements.
Not every module contributes to every element.

name: Feedback

on:
  schedule:
    - cron: '0 * * * *' # every hour
  workflow_dispatch:

permissions: {}

jobs:
  feedback:
    permissions:
      issues: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      # Feedback loop: ask for something on PR/Issue and close if not provided or return to the queue on update.
      # https://github.com/gradle/issue-management-action/blob/main/src/feedback.ts

name: 'Requeue stale team-triage items'
on:
  schedule:
    # Execute every day at 00:05 to avoid conflicts with other workflows
    - cron: '5 0 * * *'

permissions: {}

jobs:
  requeue:
    permissions:
      issues: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      - uses: actions/stale@v9
        with:
          operations-per-run: 50
          remove-stale-when-updated: false

Then wrap the WSGI (e.g. Flask) app with the middleware.

And then mount that under a path.

```Python hl_lines="2-3  23"
{!../../../docs_src/wsgi/tutorial001.py!}
```

## Check it

Now, every request under the path `/v1/` will be handled by the Flask application.

And the rest will be handled by **FastAPI**.

name: 'Close stale PRs'
on:
  schedule:
    # Execute every hour at xx:05 to avoid conflicts with other workflows
    - cron: '5 * * * *'

permissions: {}

jobs:
  stale:
    permissions:
      pull-requests: write

    runs-on: ubuntu-latest
    steps:
      - uses: actions/stale@v9
        with:
          operations-per-run: 50
          ascending: true
          exempt-all-milestones: true

              value: "{{ .Values.cni.ambient.dnsCapture }}"
{{- end }}
            - name: GOMEMLIMIT
              valueFrom:
                resourceFieldRef:
                  resource: limits.memory
            - name: GOMAXPROCS
              valueFrom:
                resourceFieldRef:
                  resource: limits.cpu
          volumeMounts:
            - mountPath: /host/opt/cni/bin

```

!!! tip
    The app above is a minimal and simple example to demonstrate how to handle and broadcast messages to several WebSocket connections.

    But keep in mind that, as everything is handled in memory, in a single list, it will only work while the process is running, and will only work with a single process.

				return nil
			}

			err := s.dataplane.AddPodToMesh(s.ctx, pod, podIPs, "")
			log.Debugf("AddPodToMesh(%s) returned %v", newPod.Name, err)
		}
	case controllers.EventDelete:
		// TODO: as every pod on our node will come through here, check if pod is annotated?
		err := s.dataplane.DelPodFromMesh(s.ctx, pod)
		log.Debugf("DelPodFromMesh(%s) returned %v", pod.Name, err)
	}
	return nil