- Amazon Simple Storage Service is called as Amazon S3
- Provides easy-to-use management features to organize data and configure access controls.
- It is designed for 99.999999999% (11 9’s) of durability
- It is an object storage service
- Provides
- Scalability
- data availability
- security
- performance.
- Use cases include
- Websites
- mobile applications
- backup and restore
- archive
- enterprise applications
- IoT devices
- big data analytics.
S3 Access control
- defines who can access objects and buckets within S3
- the access type (as READ and WRITE).
- authentication verifies the identity of a user who is trying to access AWS
Amazon S3 Concepts
Buckets –
- It contains the S3 objects
- Every object is contained in a bucket.
- URL addressing, as if object named photos/puppy.jpg stored in johnsmith bucket, then URL is http://johnsmith.s3.amazonaws.com/photos/puppy.jpg
- Buckets helps to
- organize the S3 namespace at the highest level
- identify the account responsible for storage and data transfer charges
- play a role in access control
- serve as the unit of aggregation for usage reporting.
- Buckets can be created in a specific region.
- Bucket configuration can be changed if object is added, every time
- unique version ID is given to object by S3
S3 bucket naming rules
- Name be unique across all present names in S3
- Should follow DNS naming conventions.
- Be 3 to 63 characters long.
- No use of uppercase letter or underscore
- starts with a lowercase letter or number.
- Are a series of one or more labels.
- Adjacent labels separated by period
- Only lowercase letters, numbers, and hyphens allowed for label name .
- label start and end with lowercase letter or number.
- For DNS notation, bucket names be like an IP address – like 192.168.5.4
- When you use virtual hosted–style buckets with Secure Sockets Layer (SSL), the SSL wildcard certificate only matches buckets that don’t contain periods.
Objects –
- Fundamental entities stored in Amazon S3
- Consist of object data and metadata.
- Data stored in has no impact due to S3/storage
- Metadata refers to
- set of name-value pairs
- it describe the object and
- it
has include
- the date last modified
- standard HTTP metadata – Content-Type
- custom metadata can be added to object during storage
- All objects contained in a S3 bucket has
- version ID
- name or a key
Keys –
- pinpoints uniquely, a object but in the S3 bucket
- all objects in s3 bucket have only one key
- Every object in Amazon S3 can be uniquely
addressed as
- Combination of a bucket, key, and version ID uniquely identify each object
- web service endpoint, bucket name, key, and optionally, a version.
- Example, in the URL http://doc.s3.amazonaws.com/2006-03-01/AmazonS3.wsdl, “doc” is the name of the bucket and “2006-03-01/AmazonS3.wsdl” is the key.
Regions
- You can choose the geographical region where S3 will store the buckets you create.
- Choose a region to
- optimize latency
- minimize costs
- address regulatory requirements
- Objects stored in a region always remain in the region but, can be explicitly transferred to another region.
Amazon S3 Data Consistency Model –
- S3 provides read-after-write consistency for PUTS of new objects in S3 bucket in all regions with one caveat.
- The caveat is that if you make a HEAD or GET request to the key name (to find if the object exists) before creating the object, Amazon S3 provides eventual consistency for read-after-write.
- eventual consistency is present in all regions,
for
- overwrite PUTS
- DELETES
- Updates to a single key are atomic. Hence, every time PUT to an existing key, does not gives corrupted or partial data.
- High data availability is offered by replicating data
- Successful PUT indicates safe storage of data
- behavior about changes
- New object written to S3 and is immediately listed within the S3 bucket. But object is not listed till addition is fully propagated
- existing object is replaced and again read, S3 gives prior data till change is fully propagated
- existing object is deleted but S3 gives deleted data till change is fully propagated
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