> For the complete documentation index, see [llms.txt](https://docs.cybus.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cybus.io/2-4-0/documentation/connectware-on-kubernetes/spreading-connectware-workloads-across-kubernetes-modes.md).

# Spreading Connectware Workloads Across Kubernetes Nodes

Configure podAntiAffinity to distribute Connectware workloads across Kubernetes nodes for improved availability and resilience

To improve availability and resilience, Connectware can distribute replicas of the same workload across different Kubernetes nodes. This helps ensure that a failure of a single node does not impact all replicas of a component.

Connectware uses Kubernetes [podAntiAffinity](https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity) for this purpose. All scalable Connectware workloads use soft podAntiAffinity by default.

## podAntiAffinity Modes

You can control how strictly Kubernetes spreads Pods of the same workload by selecting one of the following modes:

| Mode | Behavior of pods with the same workload (e.g., broker).                                                                     |
| ---- | --------------------------------------------------------------------------------------------------------------------------- |
| soft | Default. Kubernetes attempts to place Pods on different nodes, but may schedule multiple Pods on the same node if required. |
| hard | Kubernetes schedules Pods only on different nodes. If this is not possible, the Pod remains unscheduled.                    |
| none | No podAntiAffinity rules are applied. Pods may be scheduled freely.                                                         |

## Topology Key

podAntiAffinity relies on a topology key, which refers to a node label that defines the failure domain used for spreading Pods.

By default, Connectware uses the `kubernetes.io/hostname` label, which spreads Pods across individual nodes. You can override this behavior by specifying a different topology key, provided that all nodes share the corresponding label.

## Configuring Workload Spreading

You configure workload spreading through Helm values for the relevant Connectware service.

1. In your `values.yaml` file, set the `podAntiAffinity` Helm value and optionally the `podAntiAffinityTopologyKey` Helm value for the workload that you want to configure.

The following example configures the broker workload:

{% code lineNumbers="true" %}

```yaml
broker:
  podAntiAffinity: hard
  podAntiAffinityTopologyKey: kubernetes.io/os=linux
```

{% endcode %}

2. Apply the configuration changes via the `helm upgrade` command:

{% code lineNumbers="true" %}

```bash
helm upgrade -n ${NAMESPACE} ${INSTALLATION_NAME} -f values.yaml
```

{% endcode %}

For details on applying Helm configuration changes, see [Applying Helm Configuration Changes](/2-4-0/documentation/connectware-on-kubernetes/connectware-helm-chart.md#applying-helm-configuration-changes).


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.cybus.io/2-4-0/documentation/connectware-on-kubernetes/spreading-connectware-workloads-across-kubernetes-modes.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
