Modernizing your workloads with serverless, containers, and Amazon EFS

on YouTube ↗31m

" summary

Describes moving CMS, CI/CD, and ML workloads onto Amazon EFS with containers and Lambda, showing a WordPress-on-AWS Fargate reference and customer cases (Acquia, Asurion). Claims EFS is serverless, petabyte‑scale, regional with 11 nines durability and a four‑nine availability SLA, single‑digit ms latencies, per‑client throughput up to 500 MB/s, and up to 35,000 read IOPS (general purpose) with 3x small‑file and read throughput gains; lifecycle moves cold files to lower‑cost infrequent‑access.

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" chapters (21)

1. 0:00Intro
2. 0:39Agenda
3. 1:18What are our customers doing?
4. 2:16Why modernize?
5. 4:10Spectrum of compute services for application modernization
6. 5:18Examples of applications that customers are modernizing
7. 6:44Stateful applications need durable shared storage
8. 11:09Lift & shift today, accelerate modernization
9. 13:04Benefits of application modernization with containers, serverless, and Amazon EFS
10. 16:44Acquia modernizes web hosting with Amazon EKS & Amazon EFS ACQUIA
11. 17:15Application modernization with AWS Lambda
12. 17:42AWS Lambda and Amazon EFS: Elastic machine learning inference
13. 18:52Asurion builds on-demand machine learning using AWS Lambda & Amazon EFS
14. 19:52Getting started and best practices
15. 22:07Attaching EFS to ECS task definition
16. 24:09Attaching EFS to a Lambda function
17. 24:41Amazon EFS performance enhancements
18. 26:08Small file performance enhancement
19. 26:24Amazon EFS performance modes
20. 27:24Amazon EFS-Performance best practices
21. 28:11Automatic cost optimization

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