Static Site on AWS
Purpose
This pattern explains how to host and deliver static content on AWS with a simple, low-operations architecture.
Pattern Summary
A static site pattern separates content delivery from server-side application execution. On AWS, the first-pass version often starts with Amazon S3 for storage and optionally adds a CDN and custom domain later.
This pattern matters because it introduces deployment discipline, content versioning, access control, and low-cost web delivery without requiring an application server.
When This Pattern Fits
Use this pattern when:
- the workload is mostly static content,
- the team wants low operational overhead,
- public delivery matters more than dynamic server-side behavior,
- and the architecture should stay easy to explain and cheap to run.
When Not to Use It
Do not use this pattern when the workload depends on dynamic server rendering, complex per-user state, or deep application logic at request time.
Common Use Cases
- Documentation sites
- Marketing pages
- Portfolio sites
Reference Architecture
Client
-> Optional CDN or custom domain
-> Amazon S3 static website hosting
-> Logging and monitoring
Why This Pattern Works
It works because static content does not need an application server. AWS lets the team separate storage, public delivery, deployment permissions, and monitoring so the site stays simple without becoming unmanaged.
Provider Services
- Amazon S3
- AWS IAM
- Amazon CloudWatch
- Optional CloudFront or Route 53
Design Considerations
Security
Keep write access tightly controlled, review any public-read requirement carefully, and treat bucket policy design as part of the architecture.
Reliability
Static site architectures are reliable when content deployment is simple and versioned, and when rollback is easy.
Observability
Use access logging and baseline monitoring so delivery issues and unexpected traffic are visible.
Cost
This pattern is usually inexpensive, but data transfer and CDN usage can increase with traffic.
Deployment
Deploy content through a repeatable workflow instead of manual console uploads whenever possible.
Common Mistakes
- Treating a public bucket as if it needs no operational review.
- Giving broad write access to many users or tools.
- Skipping versioning or rollback planning.
- Adding CDN or custom-domain layers without revisiting the security and logging model.
Related Projects
How This Fits Into Cloud Engineering
This pattern is useful because it shows that even a very simple public workload still has identity, deployment, visibility, and cost decisions. That is real cloud engineering, even without application servers.