AWS re:Invent 2016

Latest Episodes:

CMP315: Optimizing Network Performance for Amazon EC2 Instances Dec 25, 2016

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Many customers are using Amazon EC2 instances to run applications with high performance networking requirements. In this session, we provide an overview of Amazon EC2 network performance features (enhanced networking, ENA, placement groups, etc.), and discuss how we are innovating on behalf of our customers to improve networking performance in a scalable and cost-efficient manner. We share best practices and performance tips for getting the best networking performance out of your Amazon EC2 instances.

CON303: Introduction to Container Management on AWS Dec 25, 2016

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Managing and scaling hundreds of containers is a challenging task. A container management solution takes care of these challenges for you, allowing you to focus on developing your application. In this session, we cover the role and tasks of a container management solution and we analyze how four common container management solutions - Amazon EC2 Container Service, Docker for AWS, Kubernetes, and Apache Mesos - stack against each other. We also see how you can easily get started with each of these solutions on AWS.

CON310: Running Batch Jobs on Amazon ECS Dec 25, 2016

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Batch computing is a common way for developers, scientists and engineers to run a series of jobs on a large pool of shared compute resources, such as servers, virtual machines, and containers. Amazon ECS makes it easy to run and manage Docker-enabled applications across a cluster of Amazon EC2 instances. In this session will show you how to run batch jobs using Amazon ECS and together with other AWS services, such as AWS Lambda and Amazon SQS. We will see how you can leverage Amazon EC2 Spot Instances to power your ECS cluster and easily scale your batch workloads. You'll hear from Mapbox on how they use ECS to power their entire batch processing architecture to collect and process over 100 million miles of sensor data per day that they use for powering their maps. Mapbox will also discuss how they optimize their batch processing framework on ECS using Spot Instances and demo their open source framework that will help you get up and running with ECS in minutes.

CON311: Operations Automation and Infrastructure Management with Amazon ECS Dec 25, 2016

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At Capital One, we are using Docker and container technologies to advance microservices adoption, increase efficiencies of cloud resources, and decouple the application layer from the underlying infrastructure. Capital One is a federated organization with a “you build it, you own it” culture that provides autonomy and speed for delivery teams. Each federated team runs and operates their container management stack. In order for the federated teams to accelerate their cloud and container-based apps adoption, we created self-service automation tools for creation and operations management of container management stack.

CON312: Deploying Scalable SAP Hybris Clusters using Docker Dec 25, 2016

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Rent-A-Center’s challenge was to architect, deploy, and manage a mission-critical SAP Hybris ecommerce platform that could scale to 2 million users a month. Together with Flux7, an AWS Advanced Consulting Partner, Rent-A-Center created an AWS-based approach that would help deliver the solution to market faster, in a secure, highly available, PCI-compliant fashion. In this session, we walk through the implementation details of this solution and its challenges, and explore how Rent-A-Center is now able to achieve ROI through agility, scalability, security, and cost savings.

CON313: Netflix: Container Scheduling, Execution, and Integration with AWS Dec 25, 2016

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Customers from over all over the world streamed forty-two billion hours of Netflix content last year. Various Netflix batch jobs and an increasing number of service applications use containers for their processing. In this session, Netflix presents a deep dive on the motivations and the technology powering container deployment on top of Amazon Web Services. The session covers our approach to resource management and scheduling with the open source Fenzo library, along with details of how we integrate Docker and Netflix container scheduling running on AWS. We cover the approach we have taken to deliver AWS platform features to containers such as IAM roles, VPCs, security groups, metadata proxies, and user data. We want to take advantage of native AWS container resource management using Amazon ECS to reduce operational responsibilities. We are delivering these integrations in collaboration with the Amazon ECS engineering team. The session also shares some of the results so far, and lessons learned throughout our implementation and operations.

CON316: State of the Union: Containers Dec 25, 2016

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Join us to learn about the latest developments from Amazon ECS and the container ecosystem. Deepak Singh, General Manager of AWS Container Services, discusses the evolution of containers on AWS and shares our vision for continued innovation in this space. You also hear about how other companies are using the AWS container platform to innovate and build new businesses.

CON401: Amazon ECR Deep Dive on Image Optimization Dec 25, 2016

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“Are you struggling with bulky images or slow push and pull times? In this session we will walk through the anatomy of a Docker image and provide techniques you can use to optimize images for faster pushes and pulls and reduce your overall storage footprint. We will discuss Docker image building (build containers versus runtime containers to remove unnecessary software), Docker image composition (minimizing the number of layers), the Docker Remote API (optimizing how images are pushed and pulled), and CI/CD Integration (automate building, versioning, and deploying images to production). We’ll also examine the tools that ECR provides to make Docker image management easier so that you can focus on building your application. Finally, we'll hear from Pinterest about how they use ECR and Docker, some valuable experiences gained along the way, and best practices for using ECR with Apache Mesos.”

DAT307: Introduction to Managed Database Services on AWS Dec 25, 2016

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Which database is best suited for your use case? Should you choose a relational database or NoSQL or a data warehouse for your workload? Would a managed service like Amazon RDS, Amazon DynamoDB, or Amazon Redshift work better for you, or would it be better to run your own database on Amazon EC2? FanDuel has been running its fantasy sports service on Amazon Web Services (AWS) since 2012. You will learn best practices and insights from FanDuel’s successful migrations from self-managed databases on EC2 to fully-managed database services.

DAT309: How Fulfillment by Amazon (FBA) and Scopely Improved Results and Reduced Costs with a Serverless Architecture Dec 25, 2016

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We’ll share an overview of leveraging serverless architectures to support high performance data intensive applications. Fulfillment by Amazon (FBA) built the Seller Inventory Authority Platform (IAP) using Amazon DynamoDB Streams, AWS Lambda functions, Amazon Elasticsearch Service, and Amazon Redshift to improve results and reduce costs. Scopely will share how they used a flexible logging system built on Kinesis, Lambda, and Amazon Elasticsearch to provide high-fidelity reporting on hotkeys in Memcached and DynamoDB, and drastically reduce the incidence of hotkeys. Both of these customers are using managed services and serverless architecture to build scalable systems that can meet the projected business growth without a corresponding increase in operational costs.

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