AWS Berlin Summit 2015 - Highlights provides you with the best presentations of this year's summit.We have prepared the 5 most popular topics to guide you through valuable insights.

Taking a “cloud first” approach requires a different approach than you probably had to consider for your initial few workloads in the cloud. You'll be diving into the deep end of hybrid environments, and that means taking a broad view of your IT strategy, architecture, and organizational design.
AWS has developed the Cloud Adoption Framework (CAF) to assist with planning, creating, managing, and supporting the shift. In this session, we cover how the CAF offers practical guidance and comprehensive guidelines to enterprise organizations, particularly around roles, governance, and efficiency.

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Since the inception in 2006, AWS launched more than 1,376 new features and/or services and the pace of innovation increases every year. This session dives deep into how an idea becomes a service at AWS and how we continue to evolve the service after release through innovation at every level. We show how we manage operational excellence across our services to ensure the highest possible availability. Come learn about the rapid pace of innovation at AWS, and the culture that formulates magic behind the scenes.

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Traditional datacenter environments employ specific IT security technologies to meet internal policy and external compliance requirements. This session explores how such technologies can be re-used in an AWS environment, and what adaptations can be made to enhance security capabilities in an AWS context.

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AWS CodeDeploy is a service that automates code deployments to Amazon EC2 instances. AWS CodeDeploy makes it easier for you to rapidly release new features, helps you avoid downtime during deployment, and handles the complexity of updating your applications. In this session you'll learn how to:

  • Safely release new application features with rolling deploys, healthchecks & rollback support.
  • Utilize Deployment Groups and Auto-Scaling to deploy at scale
  • Integrate with your existing development tools and workflows
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Many business problems can be solved with predictive models based on machine learning. Building these models can be challenging as it might require machine learning experts, complex infrastructure and can suffer from scalability and high availability issues. In this session we will explore the usage of Amazon service as well other ML tools to solve these problems in a simple way.

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