- [KCCM - service controller]: enable connection draining for terminating pods upon node downscale by the cluster autoscaler. This is done by not reacting to the taint used by the cluster autoscaler to indicate that the node is going away soon, thus keeping the node referenced by the load balancer until the VM has been completely...

}
```

## 4. Enable ILM transition feature

  --advertise-client-urls http://0.0.0.0:2379 \
  --listen-peer-urls http://0.0.0.0:2380 \
  --initial-advertise-peer-urls http://0.0.0.0:2380 \
  --initial-cluster s1=http://0.0.0.0:2380 \
  --initial-cluster-token tkn \
  --initial-cluster-state new
```

You may also setup etcd with TLS following this documentation [here](https://coreos.com/etcd/docs/latest/op-guide/security.html)

### 3. Setup MinIO with etcd

Cluster level Replication metrics can be viewed in the Grafana dashboard using [json file here](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/replication/minio-replication-cluster.json)

![Grafana](https://raw.githubusercontent.com/minio/minio/master/docs/metrics/prometheus/grafana/replication/grafana-replication-cluster.png)

feature, you might need to take some action immediately after upgrading. In multi-tenant clusters where not all users are trusted, you are advised to create appropriate quotas for two default priority classes, system-cluster-critical and system-node-critical, which are added to clusters by default. `ResourceQuota` should be created to limit users from creating Pods at these priorities if not all users of your cluster are trusted. We do not advise disabling this feature because critical system Pods rely...

If you have a <abbr title="A group of machines that are configured to be connected and work together in some way.">cluster</abbr> of machines with **Kubernetes**, Docker Swarm Mode, Nomad, or another similar complex system to manage distributed containers on multiple machines, then you will probably want to **handle replication** at the **cluster level** instead of using a **process manager** (like Uvicorn with workers) in each container.

* Use Cluster Autoscaler 0.5.1, which fixes an issue in Cluster Autoscaler 0.5 where the cluster may be scaled up unnecessarily. Also the status of Cluster Autoscaler is now exposed in kube-system/cluster-autoscaler-status config map. ([#43745](https://github.com/kubernetes/kubernetes/pull/43745), [@mwielgus](https://github.com/mwielgus))

that they span multiple clusters. Creating a Federated HPA targeting
multiple clusters ensures that cluster-level autoscalers are
consistently deployed across those clusters, and dynamically managed
to ensure that autoscaling can occur optimially in all clusters,
within a set of global constraints on the total number of replicas
permitted across all clusters.  If replicas are not

     */
    protected void writeFesenJson(final ZipOutputStream zos, final String id) {
        writeElastisearchJsonApi(zos, id, "cluster", "health");
        writeElastisearchJsonApi(zos, id, "cluster", "state");
        writeElastisearchJsonApi(zos, id, "cluster", "stats");
        writeElastisearchJsonApi(zos, id, "cluster", "pending_tasks");
        writeElastisearchJsonApi(zos, id, "nodes", "stats");

RD/REDUCED_REDUNDANCY` for each object uploads so effectively utilizing the capacity of the cluster. Additionally these can also be enforced using IAM policies to make sure the client uploads with correct HTTP headers.

- MinIO also supports expansion of existing clusters in server pools. Each pool is a self contained entity with same SLA's (read/write quorum) for each object as original cluster. By using the existing namespace for lookup validation MinIO ensures conflicting objects are...