29 August 2016 to 2 September 2016
Europe/Berlin timezone
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Scientific Computing on Amazon Web Services

31 Aug 2016, 13:00
Aula (FTU)




Brendan Bouffler (Amazon.com, Inc) Christian Petters (Amazon Web Services GmbH)


A survey will be send around to all participants shortly before the GridKa School to asked for a specific sub-topic to cover. The following topics are available:
  1. Introduction to AWS (Basics for all services)
  2. Compute:
    • Amazon Elastic Compute (EC2)
    • EC2 Container Services
    • Lambda - Run Code in Response to Events
  3. Storage
    • Scalable Storage in the Cloud (S3)
    • CloudFront
    • Glacier
    • Elastic File System
  4. Database
    • RDS (Managed Relational Database service)
    • DynamoDB (Managed NoSQL database services)
    • Redshift (Fast Simple Cost-Effiective Data)
  5. Management Tools
    • CloudWatch (Monitor Resources)
    • CloudFormation (Create and manage Resources)
    • CloudTrail (track user activities)
    • Config (Track resource inventory)
    • OpsWorks (Automatic operations)
    • Service Catalog (Create and use Standardized services)
  6. Security & Identity
    • Identity and Access Management
    • Certificate Manager
  7. Analytics
    • Elastic Map Reduce (EMR)
    • Data Pipeline (Data driven workflows)
    • Elastic search searvice
    • Kinesis (Work with streaming data)
    • Machine learning
  8. Internet of Things - Connect Devices to the cloud
  9. Mobile Services
    • Device Farm : Test Android, iOS and Web Apps
    • Mobile analytics (Collect, View and Export App Analytics)
    • SNS Simple notification service
  10. Application services
    • API Gateway (Build deploy and manage gateways)
    • AppStream (low latency app streaming)
    • SQS (Message Queue Service)
    • SWF (Workflow Service for Coordinating Application components)

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