AWS re:Invent 2017

Latest Episodes:

ENT327: Migrating Massive Databases and Data Warehouses to the Cloud Dec 01, 2017

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Databases continue to grow to be multiple terabytes in size, but migrating to the cloud doesn't have to take days or create disruption for your business. To perform data migration at petabyte scale with minimal impact to your business, you can now use the new combination of AWS Database Migration Service replication agents and AWS Snowball. In this session, we discuss how to extract large-scale data from an on-premises Oracle database and migrate it to Amazon Aurora. We then outline a step-by-step process for converting your Oracle schema to a PostgreSQL-based schema.

ENT328: FINRA's Managed Data Lake: Next-Gen Analytics in the Cloud Dec 01, 2017

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Financial Impact Regulatory Authority (FINRA)'s Technology Group has changed its customers' relationship with data by creating a managed data lake that enables discovery on petabytes of capital markets' data, while saving time and money over traditional analytics solutions. FINRA's managed data lake unlocks the value in its data to accelerate analytics and machine learning at scale. The data lake includes a centralized data catalog and separates storage from compute, allowing users to query from petabytes of data in seconds. Learn how FINRA uses Spot Instances and services such as Amazon S3, Amazon EMR, Amazon Redshift, and AWS Lambda to provide the right tool for the right job at each step in the data processing pipeline. All of this is done while meeting FINRA's security and compliance responsibilities as a financial regulator.

ENT329: End-User Computing on AWS with Amazon WorkSpaces and Amazon AppStream 2.0 Dec 01, 2017

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IT organizations today need to support a modern, flexible, global workforce and ensure their users can be productive from anywhere. Moving desktops and applications to AWS offers improved security, scale, and performance, with cloud economics. In this session, we provide an overview of Amazon WorkSpaces and Amazon AppStream 2.0, and talk through best practices for moving your end-user computing to AWS. We also dive deep into Amazon AppStream 2.0, and demonstrate some of the newest capabilities, including Microsoft Active Directory integration, single sign-on with SAML 2.0, and new graphics instances.

ENT330: Cox Automotive's Data Center Migration to the AWS Cloud Dec 01, 2017

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Cox Automotive provides digital solutions that transform how the world buys, sells, and owns cars. Cox is currently engaged in a multiyear effort to migrate the bulk of its applications from physical data centers to AWS, including client-facing SaaS applications and large, consumer-facing websites. In this session, they discuss their learnings on how to effectively migrate large, service-based architectures to AWS while minimizing the impact to customers. They also share lessons learned for conducting organizational change at scale and creating a culture of self-service.

ENT331: From Mainframe to Microservices: Vanguard's Move to the Cloud Dec 01, 2017

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Maintaining control of sensitive data is critical in the highly regulated financial investments environment that Vanguard operates in. This need for data control complicated Vanguard's move to the cloud. They needed to expand globally to provide a great user experience while at the same time maintaining their mainframe-based backend data architecture. In this session, Vanguard discusses the creative approach they took to decouple their monolithic backend architecture to empower a microservices architecture while maintaining compliance with regulations. They also cover solutions implemented to successfully meet their requirements for security, latency, and end-state consistency.

ENT332: Getting Started with Serverless Computing Using AWS Lambda Dec 01, 2017

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With serverless computing, you can build and run applications without the need for provisioning or managing servers. Serverless computing means that you can build web, mobile, and IoT backends, run stream processing or big data workloads, run chatbots, and more. In this session, learn how to get started with serverless computing with AWS Lambda, which lets you run code without provisioning or managing servers. We introduce you to the basics of building with Lambda. As part of that, we show how you can benefit from features such as continuous scaling, built-in high availability, integrations with AWS and third-party apps, and subsecond metering pricing. We also introduce you to the broader portfolio of AWS services that help you build serverless applications with Lambda, including Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, and more.

ENT337: How Amazon Scales Its Infrastructure to Handle Billions of Transactions on Prime Day Dec 01, 2017

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Prime Day is Amazon's global shopping event exclusively for Amazon Prime members, offering great deals, events, and exclusive content. Running an event of this magnitude on the AWS Cloud offers many unique challenges. The Infrastructure Readiness Team for Prime Day 2017 focused on helping Amazon teams realize operational and executional efficiencies so they could reduce costs and ensure event readiness. Join us for an overview and Q&A of lessons learned from our largest event, including event readiness, how to support infrastructure events at scale, communication planning, building escalation paths with unknown issues, and more.

ENT339: Mapmaking and Location-Based Systems in the Cloud Dec 01, 2017

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From 2014 through 2017, TomTom successfully migrated its major business systems to the AWS Cloud. This migration helped TomTom's vision of real-time mapmaking become a reality, and it put TomTom significantly ahead of the competition in the domain of location technology. In this session, we explore the practical aspects of migrating to the cloud, including technological challenges as well as the necessary shifts in mindset to successfully get us through the migration journey. We discuss how the migration was done gradually due to huge risk exposure all the while maintaining 24/7 system uptime. We explore how the expected benefits of the cloud came to life, and we elaborate on the unexpected benefits, such as cost of ownership and increased awareness in the teams, as well as upper-stack benefits and the possibility to fit services and hardware while scaling the system—benefits that we could not have realized with on-premises infrastructure.

ENT340: Operation Monitoring and Alerting at Scale in GE Transportation Dec 01, 2017

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As GE Transportation moved their applications to the cloud, they faced operational challenges with monitoring their applications and platforms for availability, performance, and compliance. To address their exact requirements, GE developed a cost effective, scalable monitoring and alerting solution based on fully-managed AWS services. In this session, GE Transportation reviews this capability and discusses its process for implementing the solution. Attendees also learn reusable design patterns using AWS managed services that can be applied in a self-service model to scale efficiently across the enterprise.

ENT401: Successfully Migrating Business-Critical Applications to AWS Dec 01, 2017

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When critical business applications move to the AWS Cloud, the business needs to be assured that applications will migrate rapidly and that performance will be as good or better than on-premises. This session covers a proven solution to evaluate, move, and compare migrated applications and assure they meet user expectations. The session also covers how to monitor and intelligently remediate applications on an ongoing basis, so user experience is consistent and can scale and heal accordingly. You see Cisco CloudCenter in action, along with discovery and third-party migration tools used to understand applications and move them to AWS. With AppDynamics and CloudCenter working together, you can see before and after examples of a business application running as good as or better than when on-premises. We also share advanced use cases of AppDynamics, providing user experience analytics and directing CloudCenter to scale applications. Session sponsored by Cisco

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