Скачать или смотреть Step Functions + containers | Serverless Office Hours

Learn how to orchestrate container workloads using AWS Step Functions.

Solutions Architects, Uma Ramadoss and Jooyoung Kim, join Eric Johnson to explore different ways you can integrate your workload running in Amazon EKS/Amazon ECS and on-premise with AWS Step Functions. For example, generating a ready-to-consume golden dataset often requires the execution of multiple data processing jobs, either in parallel or sequentially. Without orchestration, managing and automating these jobs can be difficult and time-consuming because it requires coordinating the execution of multiple tasks and ensuring that they are executed in the correct order. Find out about the different service integrations and when to choose a particular type of integration. See how you can connect to systems outside AWS

We are also available to answer any of your serverless questions.

Host: Eric Johnson - Principal Developer Advocate, AWS Serverless: https://x.com/edjgeek   / singledigit  
Guest: Uma Ramadoss - Principal Serverless Specialist Solutions Architect, AWS: https://x.com/uma_ramadoss   / uma-ramadoss  
Jooyoung Kim - Senior Containers Specialist Solutions Architect, AWS:   / joozero  

🆕📢 What’s new in AWS Serverless? https://s12d.com/whats-new
✍️ Serverless AWS Compute blog posts: https://s12d.com/serverless-blogs
AWS re:Invent: https://reinvent.awsevents.com/

Stream Links:
Integrating Step Functions with containerized workloads: https://serverlessland.com/content/se...

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A weekly live office hours to learn about building serverless applications. We cover a separate topic each week including what's new with serverless, deep dives into feature launches and best practices, and explore real world use-cases. Join us live to ask us anything you want about serverless technologies and applications.

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Your resource for learning about serverless technology.
Learn to use and build apps that scale automatically on low-cost, fully-managed serverless architecture.

Chapters:
00:00 Intro
02:05 Last Week in AWS Serverless