AWS re:Invent 2016
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Salesforce is one of the most innovative enterprise software companies in the world, delivering 3 major releases a year with hundreds of features in each release. In this session, come learn how we enable thousands of engineers within Salesforce to utilize a flexible development environment to deliver these innovations to our customers faster. We show you how we enable engineers at Salesforce to test not only individual services they are developing but also large scale service integrations. Also learn how we can achieve setup of a representative production environment in minutes and teardown in seconds, using AWS.
Applications running in a typical data center are static entities. Dynamic scaling and resource allocation are the norm in AWS. Technologies such as Amazon EC2, Docker, AWS Lambda, and Auto Scaling make tracking resources and resource utilization a challenge. The days of static server monitoring are over.
Accenture Cloud Platform helps customers manage public and private enterprise cloud resources effectively and securely. In this session, learn how we designed and built new core platform capabilities using a serverless, microservices-based architecture that is based on AWS services such as AWS Lambda and Amazon API Gateway. During our journey, we discovered a number of key benefits, including a dramatic increase in developer velocity, a reduction (to almost zero) of reliance on other teams, reduced costs, greater resilience, and scalability. We describe the (wild) successes we’ve had and the challenges we’ve overcome to create an AWS serverless architecture at scale. Session sponsored by Accenture.
In today’s world, technology changes at a breakneck speed. What was new this morning is outdated at lunch. Working in the AWS Cloud is no different. Every week, AWS announces new features or improvements to current products. As AWS technologists, we must assimilate these new technologies and make decisions to adopt, reject, or defer. These decisions can be overwhelming: we tend to either reject everything and become stagnant, or adopt everything and never get our project out the door. In this session we will discuss the attitude of iteration. The attitude of iteration allows us to face the challenges of change without overwhelming our technical teams with a constant tug-o-war between implementation and improvement. Whether you’re an architect, engineer, developer, or AWS newbie, prepare to laugh, cry, and commiserate as we talk about overcoming these challenges.
Hear Geneia's design principles for using multiple technologies like Elastic Load Balancing and Auto Scaling in end-to-end solutions to meet regulatory requirements. Explore how to meet HIPAA regulations by using native cloud services like Amazon EC2, Amazon EBS volumes, encryption services, and monitoring features in addition to third-party tools to ensure end-to-end data protection, privacy, and security for protected health information (PHI) data hosted in the AWS Cloud. Learn how Geneia leveraged multiregion and multizone backup and disaster recovery solutions to address the recovery time objective (RTO) and recovery point objective (RPO) requirements. Discover how automated build, deployment, provisioning, and virtual workstations in the cloud enabled Geneia's developers and data scientists to quickly provision resources and work from any location, expediting the onboarding of customers, getting to market faster, and capturing bigger market share in healthcare analytics while minimizing costs. Session sponsored by Cognizant.
Want to learn how to Alexa-power your home? Join Brookfield Residential CIO and EVP Tom Wynnyk and Senior Solutions Architect Nathan Grice, for Alexa Smart Home for an overview of building the next generation of integrated smart homes using Alexa to create voice-first experiences. Understand the technologies used and how to best expose voice experiences to users through Alexa. Paul and Nathan cover the difference between custom Alexa skills and Smart Home Skill API skills, and build a home automation control from the ground up using Alexa and AWS IoT.
AWS provides a broad array of services, tools, and constructs that can be used to design, operate, and deliver SaaS applications. In this session, Tod Golding, the AWS Partner Solutions Architect, shares the wisdom and lessons learned from working with dozens of customers and partners building SaaS solutions on AWS. We discuss key architectural strategies and patterns that are used to deliver multi-tenant SaaS models on AWS and dive into the full spectrum of SaaS design and architecture considerations, including tenant isolation models, tenant identity management, serverless SaaS, and multi-tenant storage strategies. This session connects the dots between general SaaS best practices and what it means to realize these patterns on AWS, weighing the architectural tradeoffs of each model and assessing its influence on the agility, manageability, and cost profile of your SaaS solution.
Natural user interfaces, such as those based on speech, enable customers to interact with their home in a more intuitive way. With the VUI (Voice User Interface) smart home, now customers don't need to use their hands or eyes to do things around the home — they only have to ask and it's at their command. This session will address the vision for the VUI smart home and how innovations with Amazon Alexa make it possible.
Gilt, a global e-commerce company, implemented a sophisticated microservices architecture on AWS to handle millions of customers visiting their site at noon every day. The microservices architecture pattern enables independent service scaling, faster deployments, better fault isolation, and graceful degradation. In this session, Emerson Loureiro, Sr. Software Engineer at Gilt, will share Gilt's experiences and lessons learned during their evolution from a single monolithic Rails application in a traditional data center to more than 300 Scala/Java microservices deployed in the cloud. Derek Chiles, AWS Solutions Architect, will review best practices and recommended architectures for deploying microservices on AWS.
Building and evolving a pervasive, global service requires a multi-disciplined approach that balances requirements with service availability, latency, data replication, compute capacity, and efficiency. In this session, we’ll follow the Netflix journey of failure, innovation, and ubiquity. We'll review the many facets of globalization and then delve deep into the architectural patterns that enable seamless, multi-region traffic management; reliable, fast data propagation; and efficient service infrastructure. The patterns presented will be broadly applicable to internet services with global aspirations.
AWS provides many services to assist customers with their journey to the cloud. Hybrid solutions offer customers a way to continue leveraging existing investments on-premises, while expanding their footprint into the public cloud. This session covers the different technologies available to support hybrid architectures on AWS. We discuss common patterns and anti-patterns for solving enterprise workloads across a hybrid environment.
In gaming, low latencies and connectivity are bare minimum expectations users have while playing online on PlayStation Network. Alex and Dustin share key architectural patterns to provide low latency, multi-region services to global users. They discuss the testing methodologies and how to programmatically map out a large dependency multi-region deployment with data-driven techniques. The patterns shared show how to adapt to changing bottlenecks and sudden, several million request spikes. You’ll walk away with several key architectural patterns that can service users at global scale while being mindful of costs.
The way humans interact with machines is at a turning point, and conversational artificial intelligence (AI) is at the center of the transformation. Learn how Amazon is using machine learning and cloud computing to fuel innovation in AI, making Amazon Alexa smarter every day. Alexa VP and Head Scientist Rohit Prasad presents the state of the union Alexa and Recent Advances in Conversational AIn for Alexa. He addresses Alexa's advances in spoken language understanding and machine learning, and shares Amazon's thoughts about building the next generation of user experiences.
Regularly, customers at AWS assign resources to create solutions that address common problems shared between businesses of all sizes. Often, this results in taking resources away from products or services that truly differentiate the business in the marketplace. The Solutions Builder team at AWS focuses on developing and publishing a catalog of repeatable, standardized solutions that can be rapidly deployed by customers to overcome common business challenges. In this session, the Solutions Builder team will share ready to use solutions that make it easy for anyone to create a transit VPC, centralized logging, a data lake, scheduling for Amazon EC2, and VPN monitoring. Along the way, the team reveals the architectural tenets and best practices they follow for the development of these solutions. In the end, customers are introduced to a catalog of freely available solutions with a peek into the architectural approaches used by an internal team at AWS.
Learn how to develop voice-based serverless back ends for Alexa Voice Service (AVS) and Alexa devices using the Alexa Skills Kit (ASK), which allows you to add new voice-based interactions to Alexa. We’ll code a new skill, implemented by a serverless backend leveraging AWS services such as Amazon Cognito, AWS Lambda, and Amazon DynamoDB. Often, your skill needs to authenticate your users and link them back to your backend systems and to persist state between user invocations. User authentication is performed by leveraging OAuth compatible identity systems. Running such a system on your back end requires undifferentiated heavy lifting or boilerplate code. We’ll leverage Login with Amazon as the identity provider instead, allowing you to focus on your application implementation and not on the low-level user management parts. At the end of this session, you’ll be able to develop your own Alexa skills and use Amazon and AWS services to minimize the required backend infrastructure. This session shows you how to deploy your Alexa skill code on a serverless infrastructure, leverage AWS Lambda, use Amazon Cognito and Login with Amazon to authenticate users, and leverage AWS DynamoDB as a fully managed NoSQL data store.
Over the last few years, we have seen a dramatic increase in the use of open source projects as the mainstay of architectures in both startups and enterprises. Many of our customers and partners also run their own open source programs and contribute key technologies to the industry as a whole (see DCS201). At AWS we engage with open source projects in a number of ways. We contribute bug fixes and enhancements to popular projects including our work with the Hadoop ecosystem (see BDM401), Chromium (see BAP305) and (obviously) Boto. We have our own standalone projects including the security library s2n (see NET405) and machine learning project MXnet (see MAC401). We also have services that make open source easier to use like ECS for Docker (see CON316), and RDS for MySQL and PostgreSQL (see DAT305). In this session you will learn about our existing open source work across AWS, and our next steps.
Cloud computing gives you a number of advantages, such as the ability to scale your web application or website on demand. If you have a new web application and want to use cloud computing, you might be asking yourself, 'Where do I start?' Join us in this session to understand best practices for scaling your resources from zero to millions of users. We show you how to best combine different AWS services, how to make smarter decisions for architecting your application, and how to scale your infrastructure in the cloud.
As more customers adopt Amazon VPC architectures, the features and flexibility of the service are squaring off against evolving design requirements. This session follows this evolution of a single regional VPC into a multi-VPC, multi-region design with diverse connectivity into on-premises systems and infrastructure. Along the way, we investigate creative customer solutions for scaling and securing outbound VPC traffic, securing private access to Amazon S3, managing multi-tenant VPCs, integrating existing customer networks through AWS Direct Connect, and building a full VPC mesh network across global regions.
The experience in the auto industry is changing. For both the driver and the car manufacturer, a whole new frontier is on the near horizon. What do you do with your time while the car is driving itself? How do I have a consistent experience while driving shared or borrowed cars? How do I stay safer and more aware in the ever increasing complexity of traffic, schedules, calls, messages and tweets? In this session we will discuss how the auto industry is facing new challenges and how the use of Amazon Alexa, IoT, Logistics services and the AWS Cloud is transforming the Mobility experience of the (very near) future.
IT is evolving from a cost center to a source of continuous innovation for business. At the heart of this transition are modern, revenue-generating applications, based on dynamic architectures that constantly evolve to keep pace with end-customer demands. This dynamic application environment requires a new, comprehensive approach to traditional monitoring – one based on real-time, end-to-end visibility and analytics across the entire application lifecycle and stack, instead of monitoring by piecemeal. This presentation highlights practical advice on how developers and operators can leverage data and analytics to glean critical information about their modern applications. In this session, we will cover the types of data important for today’s modern applications. We’ll discuss visibility and analytics into data sources such as AWS services (e.g., Amazon CloudWatch, AWS Lambda, VPC Flow Logs, Amazon EC2, Amazon S3, etc.), development tool chain, and custom metrics, and describe how to use analytics to understand business performance and behaviors. We discuss a comprehensive approach to monitoring, troubleshooting, and customer usage insights, provide examples of effective data analytics to improve software quality, and describe an end-to-end customer use case that highlights how analytics applies to the modern app lifecycle and stack.
The AWS Well-Architected Framework enables customers to understand best practices around security, reliability, performance, and cost optimization when building systems on AWS. This approach helps customers make informed decisions and weigh the pros and cons of application design patterns for the cloud. In this session, you'll learn how National Instruments used the Well-Architected Framework to follow AWS guidelines and best practices. By developing a strategy based on the AWS Well-Architected Framework, National Instruments was able to triple the number of applications running in the cloud without additional head count, significantly increase the frequency of code deployments, and reduce deployment times from two weeks to a single day. As a result, National Instruments was able to deliver a more scalable, dynamic, and resilient LabVIEW platform with agility.
How does McGraw-Hill Education use the AWS platform to scale and reliably receive 10,000 learning events per second? How do we provide near-real-time reporting and event-driven analytics for hundreds of thousands of concurrent learners in a reliable, secure, and auditable manner that is cost effective? MHE designed and implemented a robust solution that integrates AWS API Gateway, AWS Lambda, Amazon Kinesis, Amazon S3, Amazon Elasticsearch Service, Amazon DynamoDB, HDFS, Amazon EMR, Amazopn EC2, and other technologies to deliver this cloud-native platform across the US and soon the world. This session describes the challenges we faced, architecture considerations, how we gained confidence for a successful production roll-out, and the behind-the-scenes lessons we learned.
Ever wonder what it takes to add the power of Alexa to your own products? Are you curious about what Alexa partners have learned on their way to a successful product launch? In this session you will learn about the top tips and tricks on how to go from VUI newbie to an Alexa-enabled product launch. Key concepts around hardware selection, enabling far field voice interaction, building a robust Alexa Voice Service (AVS) client and more will be discussed along with customer and partner examples on how to plan for and avoid common challenges in product design, development and delivery.
Learn how AWS processes millions of records per second to support accurate metering across AWS and our customers. This session shows how we migrated from traditional frameworks to AWS managed services to support a large processing pipeline. You will gain insights on how we used AWS services to build a reliable, scalable, and fast processing system using Amazon Kinesis, Amazon S3, and Amazon EMR. Along the way we dive deep into use cases that deal with scaling and accuracy constraints. Attend this session to see AWS’s end-to-end solution that supports metering at AWS.
This presentation provides a comparison of three modern architecture patterns that startups are building their business around. It includes a realistic analysis of cost, team management, and security implications of each approach. It covers Elastic Beanstalk, Amazon ECS, Docker, Amazon API Gateway, AWS Lambda, Amazon DynamoDB, and Amazon CloudFront, as well as Docker.
As we add thousands of skills to Alexa, our developers have uncovered some basic and more complex tips for building better skills. Whether you are new to Alexa skill development or if you have created skills that are live today, this session helps you understand how to create better voice experiences. Last year, Capital One joined Alexa on stage at re:Invent to talk about their experience building an Alexa skill. Hear from them one year later to learn from the challenges that they had to overcome and the results they are seeing from their skill. In this session, you will learn the importance of flexible invocations, better VUI design, how OAuth and account linking can add value to your skill, and about Capital One's experience building an Alexa skill.
The Jet Propulsion Laboratory designs and creates some of the most advanced space robotics ever imagined. JPL IT is now innovating to help streamline how JPLers will work in the future in order to design, build, operate, and support these spacecraft. They hope to dramatically improve JPLers' workflows and make their work easier for them by enabling simple voice conversations with the room and the equipment across the entire enterprise.
Hitting the submit button to publish your skill is similar to sending your child to their first day of school. You want it to be set up for a successful launch day and for many days thereafter. Learn how to set your skill up for success from Andy Huntwork, Alexa Principal Engineer and one of the creators of the popular Alexa skill 'The Magic Door'. You will learn the most common reasons why skills fail and also some of the more unique use cases. The purpose of this session is to help you build better skills by knowing what to look out for and what you can test for before submitting. In this session, you will learn what most developers do wrong, how to successfully test and QA your skill, how to set your skill up for successful certification, and the process of how a skill gets certified.
When your business is counting on the performance of your cloud solutions, having relevant and timely insights into events impacting your AWS resources is essential. AWS Personal Health Dashboard serves as the primary destination for you to receive personalized information related to your AWS infrastructure, guiding your through scheduled changes, and accelerating the troubleshooting of issues impacting your AWS resources. The service, powered by AWS Health APIs, integrates with your in-house event management systems, and can be programmatically configured to proactively get the right information into the right hands at the right time. The service is integrated with Splunk App for AWS to enhance Splunk’s dashboards, reports and alerts to deliver real-time visibility into your environment.
Did you know that AWS enables builders to architect solutions for price? Beyond the typical challenges of function, performance, and scale, you can make your application cost effective. Using different architectural patterns and AWS services in concert can dramatically reduce the cost of systems operation and per-transaction costs. This session uses practical examples aimed at architects and developers. Using code and AWS CloudFormation in concert with services such as Amazon EC2, Amazon ECS, Lambda, Amazon RDS, Amazon SQS, Amazon SNS, Amazon S3, CloudFront, and more, we demonstrate the financial advantages of different architectural decisions. Attendees will walk away with concrete examples, as well as a new perspective on how they can build systems economically and effectively.
