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>
```

- [pod annotations](https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/)
- [container environment variables](https://kubernetes.io/docs/tasks/inject-data-application/define-environment-variable-container/)
- [ImagePullPolicy](https://kubernetes.io/docs/concepts/containers/images/)
- [priority class name](https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass)

          - 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
```

Kubernetes manages stateless Spark and Hive containers elastically on the compute nodes. Spark has native scheduler integration with Kubernetes. Hive, for legacy reasons, uses YARN scheduler on top of Kubernetes.

OkHttp IDNA Mapping Table
=========================

This module contains supporting tools for building the IDNA mapping table.

# Gradle architecture documentation

This directory contains documentation that describes Gradle's architecture and how the various pieces fit together and work.

## Architecture decision records (ADRs)

The Gradle team uses ADRs to record architectural decisions that the team has made.

See [Architecture decisions records](standards) for the list of ADRs.

"tf.foo" being imported first.

The `_api/v2/api_packages.txt` file is generated during the TensorFlow API v2
init files creation process and is subsequently stored in the wheel file after
the build. It also contains a few paths that cannot be directly imported. These
paths point to attributes or sub-modules within a module's namespace, but they
don't correspond to an actual file or directory on the filesystem. The list of

	"Action": "s3:ListBucket*",
	"Resource": "arn:aws:s3:::mybucket",
	"Condition": {"IpAddress": {"aws:SourceIp": "203.0.113.0/24"}}
  }
}
```

- `aws:UserAgent` - This value is a string that contains information about the requester's client application. This string is generated by the client and can be unreliable. You can only use this context key from `mc` or other MinIO SDKs which standardize the User-Agent string.

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

This module contains tests against other services