Amazon S3 Standard – General Purpose Storage Class
The S3 Standard storage class
is the default and most commonly used option in Amazon S3. It’s designed for frequently
accessed data with high durability, availability, and performance.
Key Characteristics
Feature |
S3
Standard |
Durability |
99.999999999% (11 9’s) |
Availability SLA |
99.99% |
Availability Zone Replication |
Stored redundantly across at
least 3 Availability Zones (AZs) |
Latency |
Low latency, high throughput |
Minimum Storage Duration |
None |
Retrieval Cost |
None (no extra charge for frequent
access) |
Use Case |
Frequently accessed data, dynamic
websites, mobile apps, analytics, backups |
Use Cases
- Web and mobile applications
- Dynamic websites
- Data analytics workflows
- Content distribution (images, videos, etc.)
- Backup and disaster recovery with high availability
Benefits
- Highly available
for real-time or near-real-time applications
- Automatically replicated across multiple AZs for resilience
- No retrieval charges
— ideal for data twtech access often.
- Supports encryption, versioning, lifecycle policies, and event notifications
Security and Management
- Supports S3 Block Public Access, bucket
policies, and IAM controls
- Easily integrates with AWS KMS for encryption
- Supports Object Lock for write-once-read-many
(WORM) compliance
The concept: High Throughput Mean in Amazon S3
In the context of Amazon S3
Standard, high throughput refers to the ability to handle large
volumes of data transfers quickly and efficiently... both uploads and
downloads... across the network.
Details of S3’s High Throughput
Feature |
Description |
Parallelism |
S3 supports parallel
uploads/downloads, allowing many concurrent operations. |
Scalability |
Automatically scales to support thousands
of requests per second per prefix. |
Multi-Part Uploads |
For large files (e.g., >100
MB), multi-part upload boosts performance and reliability. |
Request Rate Performance |
Supports 3,500
PUT/COPY/POST/DELETE and 5,500 GET requests per second per
prefix. |
Prefix Optimization |
To scale beyond, use multiple
prefixes (e.g., key names with different starting characters). |
Example Scenarios
- Big data analytics pipelines uploading GBs/TBs of data
- Streaming media apps
delivering thousands of files/second
- AI/ML training
loading massive datasets from S3
- Backup/restore operations that need to transfer data at scale quickly
twtech Best Practices for Maximizing Throughput
- Use multi-part uploads for files over 100 MB
- Design key names with parallel prefixes to avoid
bottlenecks
- Enable Transfer Acceleration for faster global
uploads/downloads
- Use S3 Select to retrieve only the needed data
instead of whole objects
- Deploy clients in the same AWS region as your S3 bucket when possible.
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