1️⃣ AWS Global Accelerator
Purpose: Improve availability and performance of TCP/UDP traffic for your global users.
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Use case: You have applications hosted in multiple AWS regions (EC2, ALB, NLB) and you want:
- Low-latency routing to the closest healthy region.
- Automatic failover if a region or endpoint goes down.
Traffic type: Any TCP/UDP traffic, including non-HTTP protocols (gaming, IoT, APIs).
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Mechanism:
- Uses static IP addresses as entry points.
- Routes traffic over the AWS global network instead of the public internet → faster & more reliable.
✅ Example:
- Multi-region web application with ALB in us-east-1 and eu-west-1.
- Users in Europe → routed to eu-west-1, users in US → routed to us-east-1.
- If a region fails → traffic automatically goes to the other region.
2️⃣ Amazon CloudFront
Purpose: Distribute content to end users via a global edge network.
- Use case: You want low-latency delivery of static or dynamic content (web pages, images, videos, API responses).
- Traffic type: HTTP / HTTPS only.
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Mechanism:
- Caches content at edge locations close to users.
- Can integrate with S3, ALB, API Gateway, or custom origins.
- Provides DDoS protection via AWS Shield Standard.
✅ Example:
- Website hosted in US.
- Users in Asia → get content from nearest CloudFront edge instead of traveling all the way to US.
- Dynamic API requests can also go through CloudFront with caching + origin failover.
3️⃣ Key Differences
Feature | Global Accelerator | CloudFront |
---|---|---|
Protocol | TCP/UDP | HTTP/HTTPS only |
Focus | Availability & routing across regions | Content caching & delivery |
Latency | Optimized by AWS global network | Optimized by edge caching |
Failover | Automatic to healthy endpoints | Optional origin failover |
Best for | Multi-region apps, gaming, APIs | Websites, videos, APIs, static assets |
4️⃣ Rule of Thumb
- Use Global Accelerator → You need fast, highly available routing for any type of traffic across regions.
- Use CloudFront → You want content cached at edges for HTTP/HTTPS to improve user experience and reduce load on origin.
💡 Bonus: You can combine both.
- CloudFront for caching content at edges.
- Global Accelerator to route users to the closest regional origin if you have multiple regions.
1️⃣ Example Scenario
- Video recommendation engine: Dynamic content generation (personalized).
- EC2 Auto Scaling behind ALB: Scales within a single AWS Region.
- Global users: Millions worldwide.
- Challenge: Reduce latency for global users while keeping costs optimized.
2️⃣ Key Requirements
- Low latency for global users → users far from the Region experience slow response.
- Dynamic content (personalized) → can’t just cache everything; caching is limited.
- Scalability → must handle millions of users.
- Cost-optimized → can’t deploy full workloads in multiple regions if not necessary.
3️⃣ Candidate AWS Services
Option | Analysis |
---|---|
Amazon CloudFront | Great for caching static content or dynamic content via edge locations. Supports dynamic content acceleration (dynamic origin fetch). Can improve performance for dynamic APIs. Cost-effective, no need to deploy EC2 globally. |
AWS Global Accelerator | Routes traffic over the AWS global network to the closest healthy regional endpoint. Optimizes TCP/UDP routing. Useful for multi-region setups. May be overkill if you only have one region. |
Deploy EC2/ALB in multiple regions | True multi-region deployment reduces latency but increases cost (duplicate infrastructure + cross-region replication). Not cost-optimized. |
4️⃣ Recommended Solution: CloudFront with dynamic content acceleration
- Why?
- CloudFront can accelerate dynamic content by using edge locations globally → reduces latency for API calls.
- Users still hit the single backend region (EC2/ALB), so no need to deploy additional EC2 in other regions → cost-optimized.
- Works seamlessly with personalized recommendations because CloudFront supports cache-control headers and dynamic origin fetch.
- Optionally, you can add Lambda\@edge to do minor personalization or pre-processing at edge locations if needed.
✅ Architecture Flow
User (Global)
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v
CloudFront (edge location worldwide)
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v
ALB in single region
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v
EC2 Auto Scaling group (recommendation engine)
- Users worldwide → requests routed to nearest CloudFront edge → CloudFront forwards dynamic requests to ALB → EC2 generates personalized recommendations.
- Static assets (images, thumbnails, CSS/JS) can be fully cached at CloudFront → reduces load on EC2.
5️⃣ Why not Global Accelerator?
- GA is better when you have multiple regional endpoints and need fast failover + optimized routing.
- In this case: single region → GA adds extra cost but won’t reduce latency as effectively as CloudFront for dynamic HTTP/HTTPS traffic.
✅ Answer: Use Amazon CloudFront in front of your ALB + EC2 backend.
- Improves global performance
- Scales automatically
- Cost-efficient
- Supports both static and dynamic content
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