How To Create An S3 Bucket (Object Storage) On Amazon AWS [UPDATED]
Amazon S3 provides features for auditing and managing access to your buckets andobjects. By default, S3 buckets and the objects in them are private. You have accessonly to the S3 resources that you create. To grant granular resource permissionsthat support your specific use case or to audit the permissions of your Amazon S3resources, you can use the following features.
How To Create An S3 Bucket (Object Storage) On Amazon AWS
To store your data in Amazon S3, you first create a bucket and specify a bucket name andAWS Region. Then, you upload your data to that bucket as objects in Amazon S3. Each objecthas a key (or keyname), which is the unique identifier for the object within thebucket.
Every object is contained in a bucket. For example, if the object namedphotos/puppy.jpg is stored in theDOC-EXAMPLE-BUCKET bucket in the US West (Oregon)Region, then it is addressable using the URL -EXAMPLE-BUCKET.s3.us-west-2.amazonaws.com/photos/puppy.jpg.For more information, see Accessing aBucket.
When you create a bucket, you enter a bucket name and choose the AWS Regionwhere the bucket will reside. After you create a bucket, you cannot change the nameof the bucket or its Region. Bucket names must follow the bucket naming rules. You can also configure a bucket to use S3 Versioning or other storage managementfeatures.
Every object in Amazon S3 can be uniquely addressed through the combination of the web serviceendpoint, bucket name, key, and optionally, a version. For example, in the URL -EXAMPLE-BUCKET.s3.us-west-2.amazonaws.com/photos/puppy.jpg,DOC-EXAMPLE-BUCKET is the name of the bucketand photos/puppy.jpg is the key.
Bucket policies use JSON-based access policy language that is standard acrossAWS. You can use bucket policies to add or deny permissions for the objects in abucket. Bucket policies allow or deny requests based on the elements in the policy,including the requester, S3 actions, resources, and aspects or conditions of therequest (for example, the IP address used to make the request). For example, you cancreate a bucket policy that grants cross-account permissions to upload objects to anS3 bucket while ensuring that the bucket owner has full control of the uploadedobjects. For more information, see Bucket policy examples.
You can choose the geographical AWS Region where Amazon S3 stores the buckets thatyou create. You might choose a Region to optimize latency, minimize costs, oraddress regulatory requirements. Objects stored in an AWS Region never leave theRegion unless you explicitly transfer or replicate them to another Region. For example, objects stored in the Europe (Ireland) Regionnever leave it.
The architecture of Amazon S3 is designed to be programming language-neutral, usingAWS-supported interfaces to store and retrieve objects. You can access S3 andAWS programmatically by using the Amazon S3 REST API. The REST API is an HTTP interfaceto Amazon S3. With the REST API, you use standard HTTP requests to create, fetch, anddelete buckets and objects.
You have an application that supports customers in North America, Europe, and Asia. These customers send and receive data over the internet to and from an S3 bucket in either US East (N. Virginia), or Europe (Ireland). You created an S3 Multi-Region Access Point to accelerate your application by routing customer requests to the S3 bucket closest to them.
While live replication like CRR and SRR automatically replicates newly uploaded objects as they are written to your bucket, S3 Batch Replication allows you to replicate existing objects. S3 Batch Replication is built using S3 Batch Operations to replicate objects as fully managed Batch Operations jobs. Similar to SRR and CRR, you pay the S3 charges for storage in the selected destination S3 storage classes, for the primary copy, for replication PUT requests, and for applicable infrequent access storage retrieval charges. When replicating across AWS Regions, you also pay for inter-Region Data Transfer OUT from S3 to each destination Region. If an object already exists in the destination bucket, we will check if the destination object is in sync with the source object. If the metadata is not in sync and needs to be replicated, you will incur the replication PUT request charge but not the inter-Region Data Transfer OUT charge. If the metadata is in sync, Batch Replication will do nothing and you incur no charge. For more details on replication pricing, read the pricing FAQs.
With S3 Object Lambda, you can add your own code to S3 GET, HEAD, and LIST requests to modify and process data as it is returned to an application. You can use custom code to modify the data returned by standard S3 GET requests to filter rows, dynamically resize images, redact confidential data, and much more. Additionally, you can use S3 Object Lambda to modify the output of S3 LIST requests to create a custom view of objects in a bucket and S3 HEAD requests to modify object metadata like object name and size. Powered by AWS Lambda functions, your code runs on infrastructure that is fully managed by AWS, eliminating the need to create and store derivative copies of your data or to run expensive proxies, all with no changes required to applications.
You specify an AWS Region when you create your Amazon S3 bucket. For S3 Standard, S3 Standard-IA, S3 Intelligent-Tiering, S3 Glacier Instant Retrieval, S3 Glacier Flexible Retrieval, and S3 Glacier Deep Archive storage classes, your objects are automatically stored across multiple devices spanning a minimum of three Availability Zones (AZs). AZs are physically separated by a meaningful distance, many kilometers, from any other AZ, although all are within 100 km (60 miles) of each other. Objects stored in the S3 One Zone-IA storage class are stored redundantly within a single Availability Zone in the AWS Region you select. For S3 on Outposts, your data is stored in your Outpost on-premises environment, unless you manually choose to transfer it to an AWS Region. Refer to AWS regional services list for details of Amazon S3 service availability by AWS Region.
1) Day 1 of the month: You perform a PUT of 4 GB (4,294,967,296 bytes) on your bucket. 2) Day 16 of the month: You perform a PUT of 5 GB (5,368,709,120 bytes) within the same bucket using the same key as the original PUT on Day 1. When analyzing the storage costs of the above operations, note that the 4 GB object from Day 1 is not deleted from the bucket when the 5 GB object is written on Day 15. Instead, the 4 GB object is preserved as an older version and the 5 GB object becomes the most recently written version of the object within your bucket. At the end of the month:
Normal Amazon S3 pricing applies when your storage is accessed by another AWS Account. Alternatively, you may choose to configure your bucket as a Requester Pays bucket, in which case the requester will pay the cost of requests and downloads of your Amazon S3 data.
Amazon S3 is secure by default. Upon creation, only you have access to Amazon S3 buckets that you create, and you have complete control over who has access to your data. Amazon S3 supports user authentication to control access to data. You can use access control mechanisms, such as bucket policies, to selectively grant permissions to users and groups of users. The Amazon S3 console highlights your publicly accessible buckets, indicates the source of public accessibility, and also warns you if changes to your bucket policies or bucket ACLs would make your bucket publicly accessible. You should enable Amazon S3 Block Public Access for all accounts and buckets that you do not want publicly accessible.
IAM IAM lets organizations with multiple employees create and manage multiple users under a single AWS account. With IAM policies, customers can grant IAM users fine-grained control to their Amazon S3 bucket or objects while also retaining full control over everything the users do.
Amazon VPC When customers create an Amazon VPC endpoint, they can attach an endpoint policy to it that controls access to the Amazon S3 resources to which they are connecting. Customers can also use Amazon S3 bucket policies to control access to buckets from specific endpoints or specific VPCs.
S3 Block Public Access Amazon S3 Block Public Access provides settings for access points, buckets, and accounts to help customers manage public access to Amazon S3 resources. With S3 Block Public Access, account administrators and bucket owners can easily set up centralized controls to limit public access to their Amazon S3 resources that are enforced regardless of how the resources are created.
Note: Starting on March 1, 2023, Amazon S3 will change the default security configuration for all new S3 buckets. For new buckets created after this date, S3 Block Public Access will be enabled, and S3 ACLs will be disabled. These defaults are the recommended best practices for securing data in Amazon S3. You can adjust these settings after creating your S3 bucket. To learn more about these new default settings, read the the AWS News Blog or visit the documentation on creating a bucket.
Yes, customers can optionally configure an Amazon S3 bucket to create access log records for all requests made against it. Alternatively, customers who need to capture IAM/user identity information in their logs can configure AWS CloudTrail Data Events.
Yes. If you have an existing gateway VPC endpoint, create an interface VPC endpoint in your VPC and update your client applications with the VPC endpoint specific endpoint names. For example, if your VPC endpoint id of the interface endpoint is vpce-0fe5b17a0707d6abc-29p5708s in the us-east-1 Region, then your endpoint specific DNS name will be vpce-0fe5b17a0707d6abc-29p5708s.s3.us-east-1.vpce.amazonaws.com. In this case, only the requests to the VPC endpoint specific names will route through Interface VPC endpoints to S3 while all other requests would continue to route through the gateway VPC endpoint. To learn more, visit the documentation.
Amazon S3 Access Points simplifies managing data access at scale for applications using shared datasets on S3. With S3 Access Points, you can now easily create hundreds of access points per bucket, representing a new way of provisioning access to shared datasets. Access Points provide a customized path into a bucket, with a unique hostname and access policy that enforces the specific permissions and network controls for any request made through the access point. S3 Access Points can be associated with buckets in the same account or in another trusted account. Learn more by visting the S3 Access Points page and the user guide. 350c69d7ab