AWS re:Invent 2017

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CON208: Building Microservices on AWS Dec 01, 2017

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Increasingly, organizations are turning to microservices to help them empower autonomous teams, letting them innovate and ship software faster than ever before. But implementing a microservices architecture comes with a number of new challenges that need to be dealt with. Chief among these finding an appropriate platform to help manage a growing number of independently deployable services. In this session, Sam Newman, author of Building Microservices and a renowned expert in microservices strategy, will discuss strategies for building scalable and robust microservices architectures, how to choose the right platform for building microservices, and common challenges and mistakes organizations make when they move to microservices architectures.

CON214: NEW LAUNCH! Introducing AWS Fargate Dec 01, 2017

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AWS Fargate is a technology for Amazon ECS and EKS* that allows you to run containers without having to manage servers or clusters. Join us to learn more about how Fargate works, why we built it, and how you can get started using it to run containers today.

CON215: NEW LAUNCH! Introducing Amazon EKS Dec 01, 2017

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Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a new managed service for running Kubernetes on AWS. This session will provide an overview of Amazon EKS, why we built it, and how it works.

CON302: Building a CI/CD Pipeline for Containers on Amazon ECS Dec 01, 2017

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Containers can make it easier to scale applications in the cloud, but how do you set up your CI/CD workflow to automatically test and deploy code to containerized apps? In this session, we explore how developers can build effective CI/CD workflows to manage their containerized code deployments on AWS. Ajit Zadgaonkar, director of engineering and operations at Edmunds, walks through best practices for CI/CD architectures used by his team to deploy containers. We also deep dive into topics such as how to create an accessible CI/CD platform and architect for safe Blue-Green deployments.

CON304: Batch Processing with Containers on AWS Dec 01, 2017

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Batch processing is useful to analyze large amounts of data. But configuring and scaling a cluster of virtual machines to process complex batch jobs can be difficult. In this talk, we'll show how to use containers on AWS for batch processing jobs that can scale quickly and cost-effectively. We will also discuss AWS Batch, our fully managed batch-processing service. You'll also hear from GoPro and Here about how they use AWS to run batch processing jobs at scale including best practices for ensuring efficient scheduling, fine-grained monitoring, compute resource automatic scaling, and security for your batch jobs.

CON307: Building Effective Container Images Dec 01, 2017

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Sick of getting paged at 2am and wondering "where did all my disk space go?" New Docker users often start with a stock image in order to get up and running quickly, but this can cause problems as your application matures and scales. Creating efficient container images is important to maximize resources, and deliver critical security benefits. In this session, AWS Sr. Technical Evangelist Abby Fuller will cover how to create effective images to run containers in production. This includes an in-depth discussion of how Docker image layers work, things you should think about when creating your images, working with Amazon EC2 Container Registry, and mise-en-place for install dependencies. Prakash Janakiraman, Co-Founder and Chief Architect at Nextdoor will discuss high-level and language specific best practices for with building images and how Nextdoor uses these practices to successfully scale their containerized services with a small team.

CON308: Mastering Kubernetes on AWS Dec 01, 2017

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A lot of progress has been made on how to bootstrap a cluster since Kubernetes' first commit and is now only a matter of minutes to go from zero to a running cluster on Amazon Web Services. However, evolving a simple Kubernetes architecture to be ready for production in a large enterprise can quickly become overwhelming with options for configuration and customization. In this session, Arun Gupta, Open Source Strategist for AWS and Raffaele Di Fazio, software engineer at leading European fashion platform Zalando, will show common practices for running Kubernetes on AWS and share insights from experience in operating tens of Kubernetes clusters in production on AWS. We will cover options and recommendations on how to install and manage clusters, configure high availability, perform rolling upgrades and handle disaster recovery, as well as continuous integration and deployment of applications, logging, and security.

CON309: Containerized Machine Learning on AWS Dec 01, 2017

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Image recognition is a field of deep learning that uses neural networks to recognize the subject and traits for a given image. In Japan, Cookpad uses Amazon ECS to run an image recognition platform on clusters of GPU-enabled EC2 instances. In this session, hear from Cookpad about the challenges they faced building and scaling this advanced, user-friendly service to ensure high-availability and low-latency for tens of millions of users.

CON310: Moving to Containers: Building with Docker and Amazon ECS Dec 01, 2017

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If you've ever considered moving part of your application stack to containers, don't miss this session. Amazon ECS Software Engineer Uttara Sridhar will cover best practices for containerizing your code, implementing automated service scaling and monitoring, and setting up automated CI/CD pipelines with fail-safe deployments. Manjeeva Silva and Thilina Gunasinghe will show how McDonalds implemented their home delivery platform in four months using Docker containers and Amazon ECS to serve tens of thousands of customers.

CON320: Monitoring, Logging, and Debugging for Containerized Services Dec 01, 2017

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As containers become more embedded in the platform tools, debug tools, traces and logs become increasingly important. Nare Hayrapetyan, Senior Software Engineer and Calvin French-Owen, Senior Technical Officer for Segment will discuss the principals of monitoring and debugging containers and the tools Segment has implemented and built for logging, alerting, metric collection, and debugging of containerized services running on Amazon ECS.

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