services, that scale well. It is not about just retrofitting monolithic applications onto modern container based compute environment. A cloud-native application is portable and resilient by design, and can scale horizontally by simply replicating. Modern orchestration platforms like Kubernetes, DC/OS make replicating and managing containers in huge clusters easier than ever.

While containers provide isolated application execution environment, orchestration platforms allow seamless scaling...

```sh
docker ps -a
```

`-a` flag makes sure you get all the containers (Created, Running, Exited). Then identify the `Container ID` from the output.

### Starting and Stopping Containers

To start a stopped container, you can use the [`docker start`](https://docs.docker.com/engine/reference/commandline/start/) command.

```sh
docker start <container_id>
```

OkHttp Container Tests
======================

This module contains tests against other services

## Liveness probe

This probe always responds with '200 OK'. Only fails if 'etcd' is configured and unreachable. When liveness probe fails, Kubernetes like platforms restart the container.

```
livenessProbe:
  httpGet:
    path: /minio/health/live
    port: 9000
    scheme: HTTP
  initialDelaySeconds: 120
  periodSeconds: 30
  timeoutSeconds: 10
  successThreshold: 1

## Cloud Scale Deployment

          - key: public.crt
            path: CAs/public.crt
```

Note that the `secretName` should be same as the secret name created in previous step. Then add the below section under
`spec.containers[].volumeMounts[]`

```yaml
    volumeMounts:
        - name: secret-volume
          mountPath: /<user-running-minio>/.minio/certs
```

(CI) tools to build and test TensorFlow whenever there is a change to the
code. This folder is broken into subfolders that represent the level of support

## Monitoring MinIO in Kubernetes

MinIO server exposes un-authenticated liveness endpoints so Kubernetes can natively identify unhealthy MinIO containers. MinIO also exposes Prometheus compatible data on a different endpoint to enable Prometheus users to natively monitor their MinIO deployments.

## Explore Further

- if deployed by manifest, add env `FELIX_WORKLOADSOURCESPOOFING` with value `Any` in `spec.template.spec.containers.env` for daemonset `calico-node`. (This will allow PODs with specified annotation to skip the rpf check. )

### GKE notes

On GKE, 'kube-system' is required.

#   TF uses hub.docker.com/r/tensorflow/build containers for CI,
#   and scripts on Linux create a persistent container called "tf"
#   which mounts your TensorFlow directory into the container.
#
#   Important: because the container is persistent, you cannot change TFCI
#   variables in between script executions. To forcibly remove the
#   container and start fresh, run "docker rm -f tf". Removing the container