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Amazon S3 Storage Lens

The Amazon S3 Storage Lens integration allows you to monitor Amazon S3 Storage Lens—an analytics service for Amazon S3.

Use the Amazon S3 Storage Lens integration to view metrics on object storage usage and activity trends. Then visualize that data in Kibana, create alerts to notify you if something goes wrong, and reference metrics when troubleshooting an issue.

For example, you could track your total storage and object count by region—allowing you more easily visualize trends and anticipate problems before they happen.

IMPORTANT: Extra AWS charges on AWS API requests will be generated by this integration. Please refer to the AWS integration for more details.

Data streams

The Amazon S3 Storage Lens integration collects one type of data: metrics.

Metrics give you insight into the state of Amazon S3 Storage Lens. Metrics collected by the S3 Storage Lens integration include usage data for total storage, object counts, average object sizes, and more. See more details in the Metrics reference.

Requirements

You need Elasticsearch for storing and searching your data and Kibana for visualizing and managing it. You can use our hosted Elasticsearch Service on Elastic Cloud, which is recommended, or self-manage the Elastic Stack on your own hardware.

Before using any AWS integration you will need:

  • AWS Credentials to connect with your AWS account.
  • AWS Permissions to make sure the user you're using to connect has permission to share the relevant data.

For more details about these requirements, please take a look at the AWS integration documentation.

Setup

Use this integration if you only need to collect data from the Amazon S3 Storage Lens service.

If you want to collect data from two or more AWS services, consider using the AWS integration. When you configure the AWS integration, you can collect data from as many AWS services as you'd like.

For step-by-step instructions on how to set up an integration, see the Getting started guide.

Metrics reference

An example event for s3_storage_lens looks as following:

{
    "@timestamp": "2021-11-07T20:38:00.000Z",
    "ecs": {
        "version": "8.0.0"
    },
    "data_stream": {
        "namespace": "default",
        "type": "metrics",
        "dataset": "aws.s3_storage_lens"
    },
    "service": {
        "type": "aws"
    },
    "cloud": {
        "provider": "aws",
        "region": "us-east-1",
        "account": {
            "name": "elastic-beats",
            "id": "428152502467"
        }
    },
    "metricset": {
        "period": 86400000,
        "name": "cloudwatch"
    },
    "event": {
        "duration": 22973251900,
        "agent_id_status": "verified",
        "ingested": "2021-11-08T20:38:37Z",
        "module": "aws",
        "dataset": "aws.s3_storage_lens"
    },
    "aws": {
        "s3_storage_lens": {
            "metrics": {
                "NonCurrentVersionStorageBytes": {
                    "avg": 0
                },
                "DeleteMarkerObjectCount": {
                    "avg": 0
                },
                "GetRequests": {
                    "avg": 0
                },
                "SelectReturnedBytes": {
                    "avg": 0
                },
                "ObjectCount": {
                    "avg": 164195
                },
                "HeadRequests": {
                    "avg": 0
                },
                "ListRequests": {
                    "avg": 0
                },
                "DeleteRequests": {
                    "avg": 0
                },
                "SelectRequests": {
                    "avg": 0
                },
                "5xxErrors": {
                    "avg": 0
                },
                "BytesDownloaded": {
                    "avg": 0
                },
                "BytesUploaded": {
                    "avg": 82537
                },
                "CurrentVersionStorageBytes": {
                    "avg": 154238334
                },
                "StorageBytes": {
                    "avg": 154238334
                },
                "ObjectLockEnabledStorageBytes": {
                    "avg": 0
                },
                "4xxErrors": {
                    "avg": 0
                },
                "PutRequests": {
                    "avg": 145
                },
                "ObjectLockEnabledObjectCount": {
                    "avg": 0
                },
                "EncryptedObjectCount": {
                    "avg": 164191
                },
                "CurrentVersionObjectCount": {
                    "avg": 164195
                },
                "IncompleteMultipartUploadObjectCount": {
                    "avg": 0
                },
                "ReplicatedObjectCount": {
                    "avg": 0
                },
                "AllRequests": {
                    "avg": 145
                },
                "PostRequests": {
                    "avg": 0
                },
                "IncompleteMultipartUploadStorageBytes": {
                    "avg": 0
                },
                "NonCurrentVersionObjectCount": {
                    "avg": 0
                },
                "ReplicatedStorageBytes": {
                    "avg": 0
                },
                "EncryptedStorageBytes": {
                    "avg": 154237917
                },
                "SelectScannedBytes": {
                    "avg": 0
                }
            }
        },
        "cloudwatch": {
            "namespace": "AWS/S3/Storage-Lens"
        },
        "dimensions": {
            "metrics_version": "1.0",
            "storage_class": "STANDARD",
            "aws_region": "eu-central-1",
            "bucket_name": "filebeat-aws-elb-test",
            "aws_account_number": "428152502467",
            "configuration_id": "default-account-dashboard",
            "record_type": "BUCKET"
        }
    }
}

Exported fields

Field Description Type Metric Type
@timestamp Event timestamp. date
agent.id Unique identifier of this agent (if one exists). Example: For Beats this would be beat.id. keyword
aws.*.metrics.*.* Metrics that returned from Cloudwatch API query. double
aws.cloudwatch.namespace The namespace specified when query cloudwatch api. keyword
aws.dimensions.aws_account_number The AWS account that's associated with the metrics. keyword
aws.dimensions.aws_region The AWS Region for the metrics. keyword
aws.dimensions.bucket_name The name of the S3 bucket that's reported in the metrics. keyword
aws.dimensions.configuration_id The dashboard name for the S3 Storage Lens configuration reported in the metrics. keyword
aws.dimensions.metrics_version The version of the S3 Storage Lens metrics. The metrics version has a fixed value of 1.0. keyword
aws.dimensions.organization_id The AWS Organizations ID for the metrics. keyword
aws.dimensions.record_type The granularity of the metrics such as ORGANIZATION, ACCOUNT, BUCKET. keyword
aws.dimensions.storage_class The storage class for the bucket that's reported in the metrics. keyword
aws.s3_storage_lens.metrics.4xxErrors.avg The total 4xx errors in scope. long gauge
aws.s3_storage_lens.metrics.5xxErrors.avg The total 5xx errors in scope. long gauge
aws.s3_storage_lens.metrics.AllRequests.avg The total number of requests made. long gauge
aws.s3_storage_lens.metrics.BytesDownloaded.avg The number of bytes in scope that were downloaded. long gauge
aws.s3_storage_lens.metrics.BytesUploaded.avg The number of bytes uploaded. long gauge
aws.s3_storage_lens.metrics.CurrentVersionObjectCount.avg The number of objects that are a current version. long gauge
aws.s3_storage_lens.metrics.CurrentVersionStorageBytes.avg The number of bytes that are a current version. long gauge
aws.s3_storage_lens.metrics.DeleteMarkerObjectCount.avg The total number of objects with a delete marker. long gauge
aws.s3_storage_lens.metrics.DeleteRequests.avg The total number of delete requests made. long gauge
aws.s3_storage_lens.metrics.EncryptedObjectCount.avg The total object counts that are encrypted using Amazon S3 server-side encryption. long gauge
aws.s3_storage_lens.metrics.EncryptedStorageBytes.avg The total number of encrypted bytes using Amazon S3 server-side encryption. long gauge
aws.s3_storage_lens.metrics.GetRequests.avg The total number of GET requests made. long gauge
aws.s3_storage_lens.metrics.HeadRequests.avg The total number of head requests made. long gauge
aws.s3_storage_lens.metrics.IncompleteMultipartUploadObjectCount.avg The number of objects in scope that are incomplete multipart uploads. long gauge
aws.s3_storage_lens.metrics.IncompleteMultipartUploadStorageBytes.avg The total bytes in scope with incomplete multipart uploads. long gauge
aws.s3_storage_lens.metrics.ListRequests.avg The total number of list requests made. long gauge
aws.s3_storage_lens.metrics.NonCurrentVersionObjectCount.avg The count of the noncurrent version objects. long gauge
aws.s3_storage_lens.metrics.NonCurrentVersionStorageBytes.avg The number of noncurrent versioned bytes. long gauge
aws.s3_storage_lens.metrics.ObjectCount.avg The total object count. long gauge
aws.s3_storage_lens.metrics.ObjectLockEnabledObjectCount.avg The total number of objects in scope that have Object Lock enabled. long gauge
aws.s3_storage_lens.metrics.ObjectLockEnabledStorageBytes.avg The total number of bytes in scope that have Object Lock enabled. long gauge
aws.s3_storage_lens.metrics.PostRequests.avg The total number of post requests made. long gauge
aws.s3_storage_lens.metrics.PutRequests.avg The total number of PUT requests made. long gauge
aws.s3_storage_lens.metrics.ReplicatedObjectCount.avg The count of replicated objects. long gauge
aws.s3_storage_lens.metrics.ReplicatedStorageBytes.avg The total number of bytes in scope that are replicated. long gauge
aws.s3_storage_lens.metrics.SelectRequests.avg The total number of select requests. long gauge
aws.s3_storage_lens.metrics.SelectReturnedBytes.avg The number of select bytes returned. long gauge
aws.s3_storage_lens.metrics.SelectScannedBytes.avg The number of select bytes scanned. long gauge
aws.s3_storage_lens.metrics.StorageBytes.avg The total storage in bytes long gauge
aws.tags Tag key value pairs from aws resources. flattened
cloud Fields related to the cloud or infrastructure the events are coming from. group
cloud.account.id The cloud account or organization id used to identify different entities in a multi-tenant environment. Examples: AWS account id, Google Cloud ORG Id, or other unique identifier. keyword
cloud.account.name The cloud account name or alias used to identify different entities in a multi-tenant environment. Examples: AWS account name, Google Cloud ORG display name. keyword
cloud.availability_zone Availability zone in which this host, resource, or service is located. keyword
cloud.image.id Image ID for the cloud instance. keyword
cloud.instance.id Instance ID of the host machine. keyword
cloud.instance.name Instance name of the host machine. keyword
cloud.machine.type Machine type of the host machine. keyword
cloud.project.id The cloud project identifier. Examples: Google Cloud Project id, Azure Project id. keyword
cloud.provider Name of the cloud provider. Example values are aws, azure, gcp, or digitalocean. keyword
cloud.region Region in which this host, resource, or service is located. keyword
container.id Unique container id. keyword
container.image.name Name of the image the container was built on. keyword
container.labels Image labels. object
container.name Container name. keyword
data_stream.dataset Data stream dataset. constant_keyword
data_stream.namespace Data stream namespace. constant_keyword
data_stream.type Data stream type. constant_keyword
ecs.version ECS version this event conforms to. ecs.version is a required field and must exist in all events. When querying across multiple indices -- which may conform to slightly different ECS versions -- this field lets integrations adjust to the schema version of the events. keyword
error These fields can represent errors of any kind. Use them for errors that happen while fetching events or in cases where the event itself contains an error. group
error.message Error message. match_only_text
event.dataset Event dataset constant_keyword
event.module Event module constant_keyword
host.architecture Operating system architecture. keyword
host.containerized If the host is a container. boolean
host.domain Name of the domain of which the host is a member. For example, on Windows this could be the host's Active Directory domain or NetBIOS domain name. For Linux this could be the domain of the host's LDAP provider. keyword
host.hostname Hostname of the host. It normally contains what the hostname command returns on the host machine. keyword
host.id Unique host id. As hostname is not always unique, use values that are meaningful in your environment. Example: The current usage of beat.name. keyword
host.ip Host ip addresses. ip
host.mac Host MAC addresses. The notation format from RFC 7042 is suggested: Each octet (that is, 8-bit byte) is represented by two [uppercase] hexadecimal digits giving the value of the octet as an unsigned integer. Successive octets are separated by a hyphen. keyword
host.name Name of the host. It can contain what hostname returns on Unix systems, the fully qualified domain name (FQDN), or a name specified by the user. The recommended value is the lowercase FQDN of the host. keyword
host.os.build OS build information. keyword
host.os.codename OS codename, if any. keyword
host.os.family OS family (such as redhat, debian, freebsd, windows). keyword
host.os.kernel Operating system kernel version as a raw string. keyword
host.os.name Operating system name, without the version. keyword
host.os.name.text Multi-field of host.os.name. match_only_text
host.os.platform Operating system platform (such centos, ubuntu, windows). keyword
host.os.version Operating system version as a raw string. keyword
host.type Type of host. For Cloud providers this can be the machine type like t2.medium. If vm, this could be the container, for example, or other information meaningful in your environment. keyword
service.type The type of the service data is collected from. The type can be used to group and correlate logs and metrics from one service type. Example: If logs or metrics are collected from Elasticsearch, service.type would be elasticsearch. keyword