AWS re:Invent 2017

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DEV317: Deep Dive on AWS CloudFormation Dec 01, 2017

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AWS CloudFormation enables software and DevOps engineers to harness the power of infrastructure as code. As organizations automate the modeling and provisioning of applications and workloads with CloudFormation, repeatable processes and reliable deployments become more critical. This session guides you through various techniques to improve your infrastructure automation, including protecting your AWS resources and stacks with safety guardrails while monitoring infrastructure changes. In addition, we'll cover efficient ways to provision resources across accounts and regions, as show you how to test and improve the reliability of your deployments.

DEV318: Learn How Intuit Built a Frictionless Infrastructure Management System Using AWS CloudFormation Dec 01, 2017

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Managing Infrastructure as Code (IaC) successfully within an organization is a challenge. Regardless of team size, it can turn into a patchwork of solutions causing difficulties collaborating among individuals and teams. Intuit has faced and learned from these challenges, while coordinating among different teams running workloads that provide solutions for different business units. We developed a system that improved our development process for IaC using AWS CloudFormation. In this session, we demonstrate how to move away from an inconsistent development of infrastructure by complementing common development practices with a solution using the serverless technologies from AWS. We walk through our journey and help you discover an approach to assemble a similar solution for your organization.

DEV319: Embracing Change without Breaking the World Dec 01, 2017

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Over the last decade AWS has launched more than 90 services. Even today, we continue to innovate at a rapid pace and are adding new features and services. We see backwards compatibility not as a goal to strive for, but as a necessity to maintain our most important asset: customer trust. It's not just the service API that needs to be backwards compatible, client-side libraries need to be able to handle service changes as well. Over the years we've learned how to design API's in a way that preserves backwards compatibility, while continuing to evolve. In this session you will learn: · What backwards compatibility means and what forms it may take · What impact breaking changes may have on consumers of an API or library · How to design to prevent breaking changes while allowing for future enhancements Through this session, you will also pick-up concrete design patterns that you can use and anti-patterns that you can recognize so that your service API or library can continue to grow without breaking the world. Using the AWS client-side SDKs as a case study we'll look at actual code examples of specific strategies that you can employ to keep your library backwards compatible without painting yourself into a corner.

DEV320: NEW LAUNCH! Introducing AWS Cloud9, a cloud IDE to write, run, & debug your code Dec 01, 2017

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Come learn all about AWS Cloud9, AWS's newly announced integrated development environment (IDE) in the cloud. In this session, we'll give an overview of Cloud9 and do a live demo of exciting features and use cases. With Cloud9 you can write, run, and debug code with just a browser. It includes a code editor, debugger, and terminal. Cloud9 comes pre-packaged with essential tools for popular programming languages including JavaScript, Python, PHP, and more, so you don't need to install files or configure your development machine to start new projects. Since your Cloud9 IDE is cloud-based, you can work on your projects from your office, home, or anywhere using an internet-connected machine. Cloud9 also provides a seamless experience for developing serverless applications allowing you to easily define resources, debug, and switch between local and remote execution of serverless applications. With Cloud9, you can quickly share your development environment with your team, allowing you to pair program and track each other's inputs in real-time.

DEV322: Continuous Integration Best Practices for Software Development Teams Dec 01, 2017

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Today, more teams are adopting continuous integration (CI) techniques to enable collaboration, increase agility, and deliver a high-quality product faster. Cloud-based development tools such as AWS CodeCommit and AWS CodeBuild can enable teams to easily adopt CI practices without the need to manage infrastructure. In this session, we showcase a Crawl, Walk, and Run approach to CI. In Crawl, we showcase how to use AWS CodeBuild with your master code branch for running a basic CI workflow. In Walk, we add team collaboration capabilities to the previously developed CI workflow and showcase feature branches and pull requests. In Run, we showcase how to optimize the CI workflow for speed and quality with caching, code analysis, and integration testing.

DEV323: Introduction to the AWS CLI Dec 01, 2017

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The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services. In this session, we introduce the AWS CLI and how to use it to automate common administrative tasks in AWS. We cover several features and usage patterns including Amazon EBS snapshot management and Amazon S3 backups. We show how to combine AWS CLI features to create powerful tools for automation. See how to develop, debug, and deploy these examples in several live, end-to-end examples.

DEV324: Deep Dive on Advanced Continuous Delivery Techniques Using AWS DevOps Tools Dec 01, 2017

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Continuous delivery (CD) enables teams to be more agile and quickens the pace of innovation. Too often, however, teams adopt CD without putting the right safety mechanisms in place. In this talk, we discuss opportunities for you to transform your software release process into a safer one. We explore various DevOps best practices, showcasing sample applications and code. We discuss how to set up delivery pipelines with nonproduction testing stages, failure cases, rollbacks, machine and Availability Zone redundancy, canary testing and deployments, and monitoring. We'll use AWS Lambda, AWS CloudFormation, AWS CodePipeline, AWS CodeDeploy, and both Amazon CloudWatch alarms and events.

DEV325: Application Deployment Techniques for Amazon EC2 Workloads with AWS CodeDeploy Dec 01, 2017

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We've seen companies like fast-growing startups and large enterprises adopt and evolve strategies to optimize their application deployment to Amazon EC2. Some AWS customers perform in-place updates across their servers. Some perform blue-green deployments to newly provisioned servers. In this session, we'll share the advantages of each approach and talk about the scenarios in which you should choose one over the other. We will also demonstrate how to perform auto-scaling and auto-rollback for deployments.

DEV328: DevOps Lessons from Coursera: Site Performance, Reliability, and Developer Productivity Dec 01, 2017

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As Coursera has grown, both in traffic and engineering team size, we've put much more emphasis on site performance, reliability, and developer productivity. Solving these problems is more complicated than just scaling up the number of EC2 instances though -- they've required rethinking approaches from the ground up and using better tools for the job. In this session, Coursera's frontend infrastructure team will walk you through how we leveraged AWS services, including ECS, CodeBuild, and ALBs, to improve site performance by 30% and reduce build times by 80%, all while cutting costs in the process.

DEV329: Cisco's Journey from Monolith to Microservices Dec 01, 2017

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Cisco's video solutions were historically designed for on-premises dedicated hardware deployments. Typically, major releases occurred annually or bi-annually. The release process lacked the ability to absorb frequent changes and adapt to rapid market trends. This session looks into how Cisco's IVP Solution team evolved a production system from its monolithic design into a microservices platform, leveraging cloud services, automated deployments, and delivery pipelines. Through this transition the team adopted a biweekly deployment cadence. This ultimately enabled a fast-paced migration to an AWS environment, using AWS services such as Amazon EC2, Amazon RDS, and Amazon Elasticsearch Service.

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