The document presents an overview of Amazon ECS and Fargate, highlighting their key features like full management, auto scaling, and seamless integration with AWS services. It outlines common use cases such as batch processing, machine learning, and CI/CD, along with customer success stories demonstrating cost reductions and operational efficiencies. The session emphasizes the benefits of using serverless containers for various applications, showcasing real-world implementations by startups and enterprises.

1. Demystify ECS and
Fargate
JIMMY DAHLQVIST
AWS Day of containers | 2024-05-21

2. @jimmydahlqvist
JIMMY DAHLQVIST
Head of AWS @ Sigma Technology Cloud
Founder of serverless-handbook.com
Blogging on jimmydqv.com
AWS Community Builder | User Group Leader | AWS Ambassador
Hello, I'm

3. @jimmydahlqvist
Todays agenda
• ECS and Fargate overview
• Common use-cases
• Customer use-cases
• Summary

4. ECS

5. @jimmydahlqvist
Container Orchestration
• Fully managed container orchestrator
• No control plane to upgrade
• Built in auto scaling
• Self-healing
• It enables you to easily run, scale, and secure Docker container applications on AWS.

6. @jimmydahlqvist
Key features
• Fully Managed
• No need to operate your own cluster management infrastructure.
• High Performance
• Optimized for running containerized.
• Seamless Integration
• Integrates with other AWS services.

7. Fargate

8. @jimmydahlqvist
Serverless Containers
Serverless-(ish)
• Managed by AWS.
• No EC2 instances to
mange or scale.
• Simple operations model.
Secure
• Isolated and patched by
AWS.
Cost-efficient
• Elastic, scale to your need
• Granular resource
allocation.
• Nothing to patch or mange.

9. @jimmydahlqvist
Sharing is not caring
Each Fargate task has its own isolation and don’t share any underlying, kernel, CPU, memory, ENI, etc.

10. @jimmydahlqvist
Graviton
• Run containers on ARM based CPU
• Best price / performance metric
• Fargate enable easy migration

11. Common use cases

12. @jimmydahlqvist
Batch processing
• Run tasks on-demand
• As target for EventBridge
• Easy to scale
• Cost-Efficient

13. @jimmydahlqvist
Machine learning
• Serverless inference
• Easy to deploy and scale
• Cost efficient

14. @jimmydahlqvist
CI/CD
• Runner for GitHub / GitLab
• Scale as needed

15. @jimmydahlqvist
Other Use-cases
• Web applications / microservice backend
• IoT applications
• Application migration
• Development environments

16. Customer use cases

17. @jimmydahlqvist
FinTech startup
• Market leader in unsecured loans
• Small development team
• Migrated application micro-service backend to Fargate and Graviton.
• 22% cost reduction
• Reduced operational overhead

18. @jimmydahlqvist
Global Enterprise
• IoT backend – 10th of thousands of devices
• CI/CD runners
• Self-hosted GitLab runners
• Reduces operational overhead
• Migrated 95% to Graviton

19. @jimmydahlqvist
eSport Startup
• Startup – very small development team
• Remove operational overhead
• Focus on business logic
• Migrated to Graviton – 27% cost reduction

20. Summary

21. B
B
@jimmydahlqvist
dahlqvistjimmy
https://serverless-handbook.com
https://jimmydqv.com