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Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. Customers of all sizes and industries can use Amazon S3 to store and protect any amount of data for a range of use cases, such as data lakes, websites, mobile applications, backup and restore, archive, enterprise applications, IoT devices, and big data analytics. Amazon S3 provides management features that make it easy to optimize, organize, and configure access to data to meet specific business, organisational, and compliance requirements.
Storage classes
Amazon S3 offers a range of storage classes designed for different use cases. You can store data with changing or unknown access patterns in S3 Intelligent-Tiering, which optimizes storage costs by automatically moving your data between four access tiers when your access patterns change. These four access tiers include two low-latency access tiers optimized for frequent and infrequent access and two opt-in archive access tiers designed for asynchronous access for rarely accessed data.
Storage Management
Amazon S3 has storage management features that help one manage costs, meet regulatory requirements, reduce latency, and save multiple distinct copies of data for compliance requirements.
Access management and security
Amazon S3 provides features for auditing and managing access to your buckets and objects. By default, S3 buckets and the objects in them are private. You have access only to the S3 resources that you create. To grant granular resource permissions that support your specific use case or to audit the permissions of your Amazon S3 resources, you can use the following features.
Data processing: To transform data and trigger workflows to automate a variety of other processing activities at scale, you can use the following features.
S3 Object Lambda – Add your code to S3 GET, HEAD, and LIST requests to modify and process data as it is returned to an application. Filter rows, dynamically resize images, redact confidential data, and much more.
Event notifications – Trigger workflows that use Amazon Simple Notification Service (Amazon SNS), Amazon Simple Queue Service (Amazon SQS), and AWS Lambda when a change is made to your S3 resources.
Storage logging and monitoring
Amazon S3 provides logging and monitoring tools that you can use to monitor and control how your Amazon S3 resources are being used. This monitoring can be done both manually and automated.
Automated monitoring tools on Amazon S3 include Amazon Cloud Watch Metrics and AWS Cloud Trail. Manual monitoring tools are Server access logging and AWS Trusted Advisor.
S3 offers 99.999999999% (11 9s) data durability. That means, if you stored 10,000,000 objects in Amazon S3, you would only lose a single object every 10,000 years.
S3 will automatically create and store copies of every uploaded object across many systems. This protects your data against errors, failures, and threats while guaranteeing you complete data availability when you need it.
