kube-arangodb/README.md

# ArangoDB Kubernetes Operator

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ArangoDB Kubernetes Operator helps do run ArangoDB deployments
on Kubernetes clusters.

To get started, follow the Installation instructions below and/or
read the [tutorial](./docs/Manual/Tutorials/Kubernetes/README.md).

## State

The ArangoDB Kubernetes Operator is still in **development**.

Running ArangoDB deployments (single, active-failover or cluster)
is reasonably stable, and we're in the process of validating
production readiness of various Kubernetes platforms.

The feature set of the ArangoDB Kubernetes Operator is close to what
it is intended to be.

[Documentation](./docs/README.md)

### Production readiness state

| Platform             | Kubernetes version | ArangoDB version | State | Production ready | Remarks               |
|----------------------|--------------------|------------------|-------|------------------|-----------------------|
| Google GKE           | 1.10               | >= 3.3.13        | Runs  | Yes              | Don't use micro nodes |
| Google GKE           | 1.11               | >= 3.3.13        | Runs  | Yes              | Don't use micro nodes |
| Amazon EKS           | 1.11               | >= 3.3.13        | Runs  | Yes              |                       |
| Pivotal PKS          | 1.11               | >= 3.3.13        | Runs  | Yes              |                       |
| Amazon & Kops        | 1.10               | >= 3.3.13        | Runs  | No               |                       |
| Azure AKS            | 1.10               | >= 3.3.13        | Runs  | No               |                       |
| OpenShift            | 1.10               | >= 3.3.13        | Runs  | No               |                       |
| Bare metal (kubeadm) | 1.10               | >= 3.3.13        | Runs  | No               |                       |
| Minikube             | 1.10               | >= 3.3.13        | Runs  | Not intended     |                       |
| Docker for Mac Edge  | 1.10               | >= 3.3.13        | Runs  | Not intended     |                       |
| Scaleway Kubernetes  | 1.10               | >= 3.3.13        | ?     | No               |                       |

## Installation of latest release using Helm

**WARNING**: Note that 0.3.8 is the latest release but we have just
found a problem with it when performing rolling upgrades of a cluster,
which can lead to data loss! **DO NOT USE 0.3.8 FOR ROLLING UPGRADES.**
We will publish a fixed 0.3.9 as soon as possible, but we need rather
thorough testing for this.

Therefore the commands below use the second latest release 0.3.7.

```bash
# The following will install the custom resources required by the operators.
helm install https://github.com/arangodb/kube-arangodb/releases/download/0.3.7/kube-arangodb-crd.tgz
# The following will install the operator for `ArangoDeployment` &
# `ArangoDeploymentReplication` resources.
helm install https://github.com/arangodb/kube-arangodb/releases/download/0.3.7/kube-arangodb.tgz
# To use `ArangoLocalStorage`, also run
helm install https://github.com/arangodb/kube-arangodb/releases/download/0.3.7/kube-arangodb-storage.tgz
```

## Installation of latest release using Kubectl

```bash
kubectl apply -f https://raw.githubusercontent.com/arangodb/kube-arangodb/0.3.7/manifests/arango-crd.yaml
kubectl apply -f https://raw.githubusercontent.com/arangodb/kube-arangodb/0.3.7/manifests/arango-deployment.yaml
# To use `ArangoLocalStorage`, also run
kubectl apply -f https://raw.githubusercontent.com/arangodb/kube-arangodb/0.3.7/manifests/arango-storage.yaml
# To use `ArangoDeploymentReplication`, also run
kubectl apply -f https://raw.githubusercontent.com/arangodb/kube-arangodb/0.3.7/manifests/arango-deployment-replication.yaml
```

## Building

```bash
DOCKERNAMESPACE=<your dockerhub account> make
kubectl apply -f manifests/arango-deployment-dev.yaml
# To use `ArangoLocalStorage`, also run
kubectl apply -f manifests/arango-storage-dev.yaml
# To use `ArangoDeploymentReplication`, also run
kubectl apply -f manifests/arango-deployment-replication-dev.yaml
```