AWS re:Invent 2017

Containers allow you to easily package an application's code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control. But how can developers leverage containers to drive innovation for their applications, their team, and organization?   In this session, Asif Khan Technical Business Manager for AWS will discuss how containers are becoming a new cloud native compute primitive, and how your organization can use containers as a building block to accelerate innovation.   WeWork's Christopher Tava, Joshua Davis, and OpsLine's Radek Wierzbicki will show how they adopted containers as discipline in code development, and how they refactored their production architecture into containers running on Amazon ECS in under 8 months.

Cloud native architectures take advantage of on-demand delivery, global deployment, elasticity, and higher-level services to enable developer productivity and business agility. Open source is a core part of making cloud native possible for everyone. In this session, we welcome thought leaders from the CNCF, Docker, and AWS to discuss the cloud's direction for growth and enablement of the open source community. We also discuss how AWS is integrating open source code into its container services and its contributions to open source projects.

Red Hat OpenShift Containers Platform uses Kubernetes, Docker, Amazon EC2, Elastic Load Balancing, and persistent storage to provide a high performance, optimized, and scalable Linux container infrastructure leveraging Red Hat Enterprise Linux. In this session, we discuss best practices on successfully designing, implementing, and managing distributed microservices applications at any scale. We also explore other innovative strategies, including integrated analytic techniques to anticipate and predict scaling operations to allow infrastructures to scale elastically on-demand. Session sponsored by Red Hat

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.

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.

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.

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.

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.

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.

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.