AWS re:Invent 2016

Latest Episodes:

CMP320: NEW LAUNCH! Delivering Powerful Graphics-Intensive Applications from the AWS Cloud Dec 25, 2016

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AWS provides unprecedented computational power for graphics-intensive applications in areas such as design, engineering simulations, and 3D content rendering. Together, Amazon EC2 Elastic GPUs and Amazon AppStream 2.0 provide the capabilities necessary for end users to access and run these applications. In this session, you learn more about Elastic GPUs and Amazon AppStream 2.0, and how you can run graphics-intensive applications on AWS. You also hear from ANSYS, a leader in engineering simulation software, and why they are moving the ANSYS Enterprise Cloud to Elastic GPUs and Amazon AppStream 2.0 to deliver a better experience for customers.

CMP321: Building SaaS Offerings for Desktop Apps with Amazon AppStream 2.0 Dec 25, 2016

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Amazon AppStream 2.0 is an application streaming service that provides users with instant access to their applications from anywhere, on any connected device. Delivering desktop apps from the cloud allows enterprises to manage user access easily and keep apps current; ISVs can reach more users across more devices. In this session, we cover best practices for streaming desktop applications from the AWS Cloud with Amazon AppStream 2.0, and show you how you can address advanced topics such as user authentication, security, and managing an application catalog.

CMP322: Optimizing workloads in SAP HANA with Amazon EC2 X1 Instances Dec 25, 2016

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AWS and SAP have worked together closely to certify the AWS platform so that companies of all sizes can fully realize all the benefits of the SAP HANA in-memory database platform on the AWS cloud. By placing SAP systems in the cloud, organizations are achieving greater agility, flexibility, and cost efficiency while saving resources to focus on their core businesses. We will discuss recent SAP and AWS innovations including the Amazon EC2 X1 instance type that offers up to 2TB of RAM, and dive into features of the AWS platform that bring significant flexibility to SAP HANA deployments.

CMP323: NEW LAUNCH! Introducing AWS Batch: Easy and efficient batch computing on Amazon Web Services Dec 25, 2016

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AWS Batch is a fully-managed service that enables developers, scientists, and engineers to easily and efficiently run batch computing workloads of any scale on AWS. AWS Batch automatically provisions compute resources and optimizes the workload distribution based on the quantity and scale of the workloads. With AWS Batch, there is no need to install or manage batch computing software, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2, Spot Instances, and AWS Lambda. AWS Batch reduces operational complexities, saving time and reducing costs. In this session, Principal Product Managers Jamie Kinney and Dougal Ballantyne describe the core concepts behind AWS Batch and details of how the service functions. The presentation concludes with relevant use cases and sample code.

CON301: Operations Management with Amazon ECS Dec 25, 2016

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Managing the infrastructure behind your ECS cluster is an important and crucial task. In this session we will dive deep into best practices to setup and maintain your ECS cluster with tools such as CloudFormation and Auto Scaling. We will discuss how to setup monitoring and logging infrastructure for your cluster and containers. We will also detail how to tighten the security of your container instances with tools such as SELinux. We will do a live deployment of a complete microservices-based ecommerce website, using Weave Net and Weave Scope for container networking, automated service discovery, monitoring and real-time app visualization. We’ll use CloudFormation, Auto Scaling Groups and other services to show how easy it is to architect and deploy a real application on Amazon ECS with fewer moving parts. We’ll also visualize our application using a real-time map of the containers.

CON302: Development Workflow with Docker and Amazon ECS Dec 25, 2016

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Keeping consistent environments across your development, test, and production systems can be a complex task. Docker containers offer a way to develop and test your application in the same environment in which it runs in production. You can use tools such as the ECS CLI and Docker Compose for local testing of applications; Jenkins and AWS CodePipeline for building and workflow orchestration; Amazon EC2 Container Registry to store your container images; and Amazon EC2 Container Service to manage and scale containers. In this session, you will learn how to build containers into your development workflow and orchestrate container deployments using Amazon ECS. You will hear how Okta runs 30,000 tests per developer commit and releases 10,000 new lines of code each week to production with a CI system based on 100% AWS services. We'll also discuss how Okta uses ECS for parallelized testing in CI and for production microservices in a multi-region, always on cloud service.

CON307: NEW LAUNCH! Advanced Task Scheduling with Amazon ECS and Blox Dec 25, 2016

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As customers build and run production microservices architectures based on containers, having powerful tools to manage the placement and scheduling of these workloads is critical. Amazon ECS allows customers to focus on building their application and removes the need for managing the cluster management software entirely. This session will focus on the capabilities of the new ECS task placement engine, the built-in ECS schedulers, and explore how customers can build custom schedulers using the ECS event stream and Blox, a newly announced open source scheduling framework that gives developers additional choice and control in how they manage containers in production.

CON308: Service Integration Delivery and Automation Using Amazon ECS Dec 25, 2016

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Through a combination of Amazon ECS and open source technologies, customers are able to build portable CI/CD pipelines on AWS. As container based deployments become more complex, they require additional rigging for integration. In this session, we show how popular Apache products like Kakfa, Storm, and Zookeeper are being deployed on top of Amazon ECS. We hear from HERE, a provider of mapping data, technologies, and services to the automotive, consumer, and enterprise sectors about an approach that leverages Consul from Hashicorp and Amazon ECS clusters for short-cycle deployments and tag-based environment promotion.

CON309: Running Microservices on Amazon ECS Dec 25, 2016

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Running and managing large scale applications with microservices architectures is hard and often requires operating complex container management infrastructure. Amazon EC2 Container Service (ECS) is a highly scalable, high performance container management service that supports Docker containers and allows you to easily run applications on a managed cluster of Amazon EC2 instances. In this session, we will walk through a number of patterns used by our customers to run their microservices platforms. We will dive deep into some of the challenges of running microservices, such as load balancing, service discovery, and secrets management, and we’ll see how Amazon ECS can help address them. We'll also hear from Instacart how they use a blue/green deployment process to deploy services to ECS and how they manage configuration with a RDS-based metadata service.

CTD201: Architecting a 24x7 Live Linear Broadcast for 100% availability on AWS Dec 25, 2016

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Traditional broadcast infrastructures had to be built with on-premises architectures to provide five nines of reliability and to ensure the quality of service expected by premium content owners. However, robust live linear streaming services built on AWS are now feasible and in fact can be 100% available. Learn how broadcast media workflows with Elemental Cloud can provide ingest of heterogeneous video sources, fault tolerance across multiple Availability Zones, time synchronization of video streams, and sustained peak workloads in 24/7 applications.

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