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# Referensi: skenario AWS Batch pekerjaan menggunakan EcsProperties
<a name="multi-container-jobs-scenarios"></a>

Untuk mengilustrasikan bagaimana definisi AWS Batch pekerjaan yang digunakan `EcsProperties` dapat disusun berdasarkan kebutuhan Anda, topik ini menyajikan [https://docs.aws.amazon.com/batch/latest/APIReference/API_RegisterJobDefinition.html](https://docs.aws.amazon.com/batch/latest/APIReference/API_RegisterJobDefinition.html)muatan berikut. Anda dapat menyalin contoh-contoh ini ke dalam file, menyesuaikannya dengan kebutuhan Anda, dan kemudian menggunakan AWS Command Line Interface (AWS CLI) untuk memanggil`RegisterJobDefinition`.

## AWS Batch pekerjaan untuk Amazon ECS di Amazon EC2
<a name="multi-container-scenario-on-ec2"></a>

Berikut ini adalah contoh AWS Batch pekerjaan untuk Amazon Elastic Container Service di Amazon Elastic Compute Cloud:

```
{
    "jobDefinitionName": "multicontainer-ecs-ec2",
    "type": "container",
    "ecsProperties": {
        "taskProperties": [
          {
            "containers": [
              {
                "name": "c1",
                "essential": false,
                "command": [
                  "echo",
                  "hello world"
                ],
                "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                "resourceRequirements": [
                  {
                    "type": "VCPU",
                    "value": "2"
                  },
                  {
                    "type": "MEMORY",
                    "value": "4096"
                  }
                ]
              },
              {
                "name": "c2",
                "essential": false,
                "command": [
                  "echo",
                  "hello world"
                ],
                "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                "resourceRequirements": [
                  {
                    "type": "VCPU",
                    "value": "2"
                  },
                  {
                    "type": "MEMORY",
                    "value": "4096"
                  }
                ]
              },
              {
                "name": "c3",
                "essential": true,
                "command": [
                  "echo",
                  "hello world"
                ],
                "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                "firelensConfiguration": {
                  "type": "fluentbit",
                  "options": {
                    "enable-ecs-log-metadata": "true"
                  }
                 },
                "resourceRequirements": [
                  {
                    "type": "VCPU",
                    "value": "6"
                  },
                  {
                    "type": "MEMORY",
                    "value": "12288"
                  }
                ]
              }
            ]
          }
        ]
  }
}
```

## AWS Batch pekerjaan untuk Amazon ECS di Fargate
<a name="multi-containers-ecs-on-fargate"></a>

Berikut ini adalah contoh AWS Batch pekerjaan untuk Amazon Elastic Container Service di AWS Fargate:

```
{
    "jobDefinitionName": "multicontainer-ecs-fargate",
    "type": "container",
    "platformCapabilities": [
        "FARGATE"
    ],
    "ecsProperties": {
        "taskProperties": [
          {
            "containers": [
              {
                "name": "c1",
                "command": [
                  "echo",
                  "hello world"
                ],
                "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                "resourceRequirements": [
                  {
                    "type": "VCPU",
                    "value": "2"
                  },
                  {
                    "type": "MEMORY",
                    "value": "4096"
                  }
                ]
              },
              {
                "name": "c2",
                "essential": true,
                "command": [
                  "echo",
                  "hello world"
                ],
                "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                "resourceRequirements": [
                  {
                    "type": "VCPU",
                    "value": "6"
                  },
                  {
                    "type": "MEMORY",
                    "value": "12288"
                  }
                ]
              }
            ],
            "executionRoleArn": "arn:aws:iam::1112223333:role/ecsTaskExecutionRole"
          }
        ]
  }
}
```

## AWS Batch pekerjaan untuk Amazon EKS
<a name="multi-containers-eks-example"></a>

Berikut ini adalah contoh AWS Batch pekerjaan untuk Amazon Elastic Kubernetes Service:

```
{
  "jobDefinitionName": "multicontainer-eks",
  "type": "container",
  "eksProperties": {
    "podProperties": {
      "shareProcessNamespace": true,
      "initContainers": [
        {
          "name": "init-container",
          "image": "public.ecr.aws/amazonlinux/amazonlinux:2",
          "command": [
            "echo"
          ],
          "args": [
            "hello world"
          ],
          "resources": {
            "requests": {
              "cpu": "1",
              "memory": "512Mi"
            }
          }
        },
        {
          "name": "init-container-2",
          "image": "public.ecr.aws/amazonlinux/amazonlinux:2",
          "command": [
            "echo",
            "my second init container"
          ],
          "resources": {
            "requests": {
              "cpu": "1",
              "memory": "512Mi"
            }
          }
        }
      ],
      "containers": [
        {
          "name": "c1",
          "image": "public.ecr.aws/amazonlinux/amazonlinux:2",
          "command": [
            "echo world"
         ],
          "resources": {
            "requests": {
              "cpu": "1",
              "memory": "512Mi"
            }
          }
        },
        {
          "name": "sleep-container",
          "image": "public.ecr.aws/amazonlinux/amazonlinux:2",
          "command": [
            "sleep",
            "20"
          ],
          "resources": {
            "requests": {
              "cpu": "1",
              "memory": "512Mi"
            }
          }
        }
      ]
    }
  }
}
```

## AWS Batch Pekerjaan MNP dengan beberapa kontainer per node
<a name="multi-container-ecs-mnp"></a>

Berikut ini adalah contoh AWS Batch pekerjaan multi-node parallel (MNP) dengan beberapa kontainer per node:

```
{
  "jobDefinitionName": "multicontainer-mnp",
  "type": "multinode",
  "nodeProperties": {
    "numNodes": 6,
    "mainNode": 0,
    "nodeRangeProperties": [
      {
        "targetNodes": "0:5",
        "ecsProperties": {
          "taskProperties": [
            {
              "containers": [
                {
                  "name": "range05-c1",
                  "command": [
                    "echo",
                    "hello world"
                  ],
                  "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                  "resourceRequirements": [
                    {
                      "type": "VCPU",
                      "value": "2"
                    },
                    {
                      "type": "MEMORY",
                      "value": "4096"
                    }
                  ]
                },
                {
                  "name": "range05-c2",
                  "command": [
                    "echo",
                    "hello world"
                  ],
                  "image": "public.ecr.aws/amazonlinux/amazonlinux:latest",
                  "resourceRequirements": [
                    {
                      "type": "VCPU",
                      "value": "2"
                    },
                    {
                      "type": "MEMORY",
                      "value": "4096"
                    }
                  ]
                }
              ]
            }
          ]
        }
      }
    ]
  }
}
```