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AWS Summit San Francisco 2018
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ANC201 - Training & Certification Lounge

Visit the AWS Certification Lounge in The Expo to network with other certified individuals. AWS Certified status will be checked at the entrance.

Ancillary
ANC202 - Builders Fair

The AWS Builders Fair is your chance to mingle, hack, invent, and brainstorm use cases, and see the latest advanced demos built by IoT and AI experts! Let your creativity flow, and invent new things using AI and loT.

Ancillary
ANC203 - Hands-On Labs

Hands-on Labs help you evaluate and learn how to work with AWS solutions through step-by-step, self-paced instructions on an AWS Console in a live practice environment. Choose from 100+ lab topics that range in level from introductory to expert and take approximately 30 to 60 minutes to complete. Registration is not required; walk-ups are welcome.

Hands-on Labs
BDA201 - AWS DeepLens Workshop: Building Computer Vision Applications

In this workshop, developers have the opportunity to learn how to build and deploy computer vision models using the AWS DeepLens deep-learning-enabled video camera. By working hands on, developers of all skill levels can explore and build their own deep-learning-powered computer vision applications using Amazon SageMaker and AWS DeepLens devices. Attendees can experiment with different sample projects for face detection, object detection, artistic style transfer, and other machine learning use cases using Apache MXNet. Attendees also learn about use cases that integrate other AWS services that extend the functionality of AWS DeepLens, such as AWS Lambda, Amazon Polly, and Amazon Rekognition.

Workshop
BDA201-R - [REPEAT] AWS DeepLens Workshop: Building Computer Vision Applications

In this workshop, developers have the opportunity to learn how to build and deploy computer vision models using the AWS DeepLens deep-learning-enabled video camera. By working hands on, developers of all skill levels can explore and build their own deep-learning-powered computer vision applications using Amazon SageMaker and AWS DeepLens devices. Attendees can experiment with different sample projects for face detection, object detection, artistic style transfer, and other machine learning use cases using Apache MXNet. Attendees also learn about use cases that integrate other AWS services that extend the functionality of AWS DeepLens, such as AWS Lambda, Amazon Polly, and Amazon Rekognition.

Workshop
BDA301 - Working with Machine Learning in Amazon SageMaker: Algorithms, Models, and Inferences Today, organizations are using machine learning (ML) to address a host of business challenges, from product recommendations and pricing predictions, to tracking disease progression and demand forecasting. Until recently, developing these ML models took a significant amount of time and effort, and it required expertise in this field. In this session, we introduce you to Amazon SageMaker, a fully managed ML service that enables developers and data scientists to develop and deploy deep learning models more quickly and easily. We walk through the features and benefits of Amazon SageMaker and discuss the uniquely designed ML algorithms that allow for optimized model training, to get you to production fast. Breakout Session
BDA302 - Building Intelligent Apps with Amazon Machine Learning – Language Services Amazon brings natural language processing (NLP), automatic speech recognition (ASR), text-to-speech (TTS), and neural machine translation (NMT) technologies within reach of every developer. In this session, learn how you can easily add intelligence to any application with solution-oriented machine learning (ML) services that provide speech, language, and chatbot functionalities. We also share real-world examples of ML in action. See how others are defining and building the next generation of apps that can hear, speak, understand, and interact with the world around us. Breakout Session
BDA303 - Amazon Rekognition: Deep Learning-Based Image and Video Analysis Learn how Amazon Rekognition is using deep learning-based image and video analysis to power more targeted influencer marketing and advertising, analysis of user-generated content on social platforms, real-time public safety alerts, and visual authentication in banking applications. In this session, we provide an overview of Amazon Rekognition image and video features, highlight customer stories from specific vertical use cases, such as influencer marketing, media, and public safety, and walk through some demonstrations and architectures for common use cases. Breakout Session
BDA304 - Build Deep Learning Applications with TensorFlow and Amazon SageMaker Deep learning continues to push the state of the art in domains such as computer vision, natural language understanding, and recommendation engines. In this session, you learn how to get started with the TensorFlow deep learning framework using Amazon SageMaker, a platform to easily build, train, and use to deploy models at scale. You learn how to build a model using TensorFlow by setting up a Jupyter Notebook to get started with image and object recognition. You also learn how to quickly train and deploy a model through Amazon SageMaker. Breakout Session
BDA305 - Building Data Lakes and Analytics on AWS Over 90% of today’s data was generated in the last 2 years, and the rate of data growth isn’t slowing down. In this session, we’ll step through the challenges and best practices on how to capture all the data that is being generated, understand what data you have, and start driving insights and even predict the future using purpose built AWS Services. We’ll frame the session and demonstrations around common pitfalls of building Data Lakes and how to successful drive analytics and insights from the data. This session will focus on the architecture patterns bringing together key AWS Services and rather than a deep dive on any single service. We’ll show how services such as Amazon S3, Amazon Glue, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon Kinesis, and Amazon Machine Learning services are put together to build a successful data lake for various role including both data scientists and business users. Breakout Session
BDA306 - Building a Modern Data Warehouse: Deep Dive on Amazon Redshift In this session, we take a deep dive on Amazon Redshift architecture and the latest performance enhancements that give you faster insights into your data. We also cover Redshift Spectrum, a feature of Redshift that enables you to analyze data across Redshift and your Amazon S3 data lake to deliver unique insights not possible by analyzing independent data silos. A customer is joining us to share how they were able to extend their data warehouse to their data lake to encompass multiple data sources and data formats. This modern architecture helps them tie together data sources to get actionable insights across their business units. Breakout Session
BDA307 - Analyzing Data Streams in Real Time with Amazon Kinesis Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. In this session, we first present an end-to-end streaming data solution using Kinesis Data Streams for data ingestion, Kinesis Data Analytics for real-time processing, and Kinesis Data Firehose for persistence. Then, Zynga talks about how they analyze real-time game events that are triggered by player actions, and shares best practices for processing streaming data at scale. Breakout Session
BDA308 - Deep Dive: Log Analytics with Amazon Elasticsearch Service Amazon Elasticsearch Service makes it easy to deploy, secure, operate, and scale Elasticsearch for log analytics, full text search, application monitoring, and more. In this session you learn how to configure a secure, petabyte-scale Amazon Elasticsearch Service cluster and build Kibana dashboards to analyze your data. In addition, we discuss best practices to make your cluster reliable, take backups, and debug slow-running queries and indexing operations. Breakout Session
BDA309 - Build Your First Big Data Application on AWS

Do you want to ramp up your knowledge of AWS analytics services and launch your first big data application on the cloud? In this session, we walk you through simplifying big data processing as a data bus comprising of ingestion, storage, processing, and visualization. You build a big data application using AWS managed services, including Amazon Athena, Amazon Kinesis, Amazon EMR, AWS Glue, Amazon Redshift, Amazon QuickSight, and Amazon S3. Along the way, we review architecture design patterns for big data applications and give you access to a take-home lab so you can rebuild and customize the application yourself. To get the most from this session, bring your own laptop and have some familiarity with AWS services.

Workshop
BDA310 - [NEW LAUNCH!] Transcribe and Translate Teaching a computer how to understand human language is one of the most challenging problems in computer science. However, significant progress has been made in automatic speech recognition (ASR) and machine translation in creating highly accurate and fluent transcriptions and translations. Amazon Transcribe is an ASR service that makes it easy for developers to add speech-to-text capability to their applications, and Amazon Translate is a machine translation service that delivers fast, high-quality, and affordable language translation. In this session, you learn how companies are weaving machine translation and transcription into their workflows to increase the efficiency and reach of their operations. Breakout Session
DEM01 - Containerized Microservices wtih Mu and AWS Fargate In this session, we demonstrate how to use mu to launch microservices on Amazon Elastic Container Service and AWS Fargate. Come and see how to configure a DevOps workflow with GitHub, AWS CodePipeline, AWS CodeBuild, Amazon Virtual Private Cloud, Application Load Balancer, AWS Auto Scaling, and log aggregation to launch a front-end and multiple backend services to build a highly available web app. 30 Minute Presentations
DEM02 - Recycle, Reduce, Reuse: Building Reusable Serverless Applications to Accelerate Development This interactive demo showcases how you can take advantage of generic, reusable serverless components to save time building larger, more complex serverless applications. You learn how the AWS Serverless Twitter Event Source app turns a Twitter search query into an AWS Lambda event source by invoking a given Lambda function to process Tweets. You also learn how you can deploy, configure, and use the app yourself. 30 Minute Presentations
DEM03 - Text Analytics Made Easy – No Machine Learning Skills Necessary In this session, we demonstrate how to extract what matters from documents, web pages, blogs, Tweets, reviews, or any textual content. Understand what or who a document mentions, the topics it covers, and the sentiment of a piece of text. 30 Minute Presentations
DEM04 - Fearless: From Monolith to Serverless with Dynatrace When you break your monolith into components, services, or functions, you must understand where and how to break your existing code base and architecture into smaller units so that it scales, performs, and is easy to operate. In this session, Andreas Grabner, technical AWS advocate, shows you how Dynatrace redefined its architecture. He discusses the migration capabilities Dynatrace engineers built into their product and explains how the lessons learned can help you fearlessly transition from monolith to serverless. This session is brought to you by AWS Partner, Dynatrace. 30 Minute Presentations
DEM05 - Reducing Costs and Strengthening Your Security Posture with a Transit VPC In this session, Warby Warburton, senior product manager at Palo Alto Networks, facilitates a discussion and demonstration of how to fully automate the creation of a Transit VPC with the VM-Series that enables application developers and spoke VPC owners to add and remove applications, as needed, without being slowed by corporate security processes or change control requirements. This session is brought to you by AWS Partner, Palo Alto Networks. 30 Minute Presentations
DEM06 - How Demandbase Cut Its Container Costs by 79% In this talk, we review Demandbase’s journey through using Spot and Reserved Instances to reduce costs. We also cover the important considerations when implementing Spot Instances in development environments with the Containers orchestration platform in place. Rafael Moreira, lead DevOps engineer at Demandbase, discusses how he and his team increased their Spot Instance usage for Rancher and Kubernetes, going from 0 to >200K Spot hours in less than one year. He shows the method by which Demandbase now uses Spot Instances, even for production environments with complex containers workloads. This session is brought to you by AWS Partner, Spotinst. 30 Minute Presentations
DEM07 - Best Practices for Monitoring Amazon ECS Containers Launched with Fargate Containers and other forms of dynamic infrastructure can prove challenging to monitor. How do you define “normal” when your infrastructure is intentionally in motion and changing every minute, or when there are no hosts to monitor at all? Join us as we share proven strategies for monitoring your containerized infrastructure on AWS, Amazon ECS, and AWS Fargate. This session is brought to you by AWS Partner, Datadog. 30 Minute Presentations
DEM08 - Use Cisco Cloud Connect to Securely Extend Private Network to AWS and Maintain User Experience A key component of Cisco hybrid cloud portfolio is Cloud Connect. In this session, we review how Cloud Connect solutions can securely extend your private networks into the AWS Cloud and ensure the application experience. The products we cover include the CSR1000v and vEdge with Umbrella integration. This session is brought to you by AWS Partner, Cisco. 30 Minute Presentations
DEM09 - [REPEAT] Fearless: From Monolith to Serverless with Dynatrace When you break your monolith into components, services, or functions, you must understand where and how to break your existing code base and architecture into smaller units so that it scales, performs, and is easy to operate. In this session, Andreas Grabner, technical AWS advocate, shows you how Dynatrace redefined its architecture. He discusses the migration capabilities Dynatrace engineers built into their product and explains how the lessons learned can help you fearlessly transition from monolith to serverless. This session is brought to you by AWS Partner, Dynatrace. 30 Minute Presentations
DEM10 - Create Visual Workflows to Orchestrate Serverless Applications Using AWS Step Functions AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. With AWS Step Functions, you can orchestrate when and how multiple functions are called within your application. After defining your workflow as a series of steps, AWS Step Functions automatically translates your code into business logic diagrams that help you build, diagnose and debug applications quickly and easily. This session shows how to use AWS Step Functions to orchestrate a serverless image processing workflow using AWS Lambda, Amazon S3, Amazon DynamoDB, and Amazon Rekognition. 30 Minute Presentations
DEM12 - Bringing Your Favorite Things into the Age of IoT We all have our favorite things in our home, ranging from a lamp handed down through the generations to the high-fidelity system that plays your favorite records. But how can you bridge the gap between your favorites of yesteryear and the AWS Cloud? In this talk, we discover the key AWS services that deliver the building blocks and tools to do just that, and we demonstrate how AWS Greengrass, AWS Lambda, and Alexa can work together to add life to your favorite things. 30 Minute Presentations
DEM13 - Voice-Enable Your Conference Rooms with Alexa for Business and Amazon Chime In this session, we show you how easy it is to voice-enable your conference rooms and meeting experience with Alexa for Business and Amazon Chime. With Alexa for Business and Amazon Chime, you can start your meetings by simply saying "Alexa, start my meeting." No more trying to find the dial-in information or searching for the right remote to switch on the projector. Come and discover how you can bring the power of voice to your conference rooms with Alexa for Business and Amazon Chime. 30 Minute Presentations
DEM14 - Extending the Cisco SD-WAN Fabric to the AWS Cloud The session covers how Cisco SD-WAN can be used to extend the WAN connectivity to AWS. We show how the Viptela-based SD-WAN solution accelerates the path to cloud migration while maintaining the application SLA using the policy-based app fabric model. We cover Viptela's cloud-first network management, orchestration, and overlay technologies with industry-leading routing platforms, services, and SD-WAN capabilities from Cisco. We also cover how a customer deployed Cisco SD-WAN and the benefits they achieved, how a customer extended Cisco SD-WAN fabric to AWS, and the benefits of consistent security and segmentation, policy, network visibility, and connectivity options across branch, campus, data center, and cloud. This session is brought to you by AWS Partner, Cisco. 30 Minute Presentations
DEM15 - How to Build a Data Lake and Analyze What’s in It Customers are increasingly adopting data lakes to collect, store, and analyze their data. In this demonstration, we show you how to discover data in your data lake, catalog it, and prepare it for analytics. We then show you how to analyze that data using your analytics tool of choice, without unnecessary data movement. 30 Minute Presentations
DEM16 - Cisco ACI Anywhere – AWS Extensions This session covers how to automate network connectivity across geographically dispersed data centers under a single policy domain with Cisco ACI Multi-Site. We also cover how to achieve policy consistency and enforcement for applications deployed across on-premises sites, AWS Regions, and colocations. We explain how to enable seamless network and services (firewall, load balancers, etc.) automation with Cisco Application Policy Infrastructure Controller (APIC). Finally, we cover how to provide end-to-end visibility, troubleshooting, and compliance for operational simplicity across on-premises data centers, remote locations, colocations, and public clouds. This session is brought to you by AWS Partner, Cisco. 30 Minute Presentations
DEM17 - Eon Mode: Separating Compute from Storage for Dynamic Scaling In response to a growing number of use cases with variable workloads, Vertica introduces Eon Mode exclusively on AWS. Eon Mode is a new storage architecture that decouples compute from storage to enable rapid elasticity of Vertica compute clusters. The independence of compute and storage also enables the virtually unlimited growth of the database on Amazon S3. In this session, we introduce the concepts and benefits of Eon Mode. This session is brought to you by AWS Partner, Vertica. 30 Minute Presentations
DEM18 - How SendBird Built a Serverless Log-Processing Pipeline in a Week As a chat solution serving enterprise customers, SendBird load-tests for all its largest customers. In this session, the SendBird team demonstrates how they use Amazon Kinesis, Amazon S3, AWS Lambda, and Amazon Athena to build the processing pipeline to save and analyze the results of a massive-scale load test within just a few days. They share mistakes and lessons as they expand this pipeline into day-to-day operations, such as aggregating customer usage data for billing purposes and blocking malicious traffic with the help of AWS WAF. This session is brought to you by AWS Partner, SendBird. 30 Minute Presentations
DEM19 - Advanced Auto Scaling and Deployment Tools for Kubernetes and ECS There are many things to consider when architecting to scale a Kubernetes or Amazon EC2 Container Service (Amazon ECS), especially in heterogeneous environments, which are made up of different machine types and sizes. To increase a cluster’s efficiency, it is crucial to choose the right instance size and type for the right workload. In this talk, we discuss the two important concepts of k8s autoscaling: headroom and two-levels scaling. In addition, we review the different k8s deployment tools, including Kubernetes Operations (kops). This session is brought to you by AWS Partner, Spotinst. 30 Minute Presentations
DEM20 - Protecting Your Data in Amazon S3 Amazon S3 is an integral component of any cloud application deployed on AWS. Protecting our Amazon S3 instance must be a priority, a task that you, the user, are responsible for. In this session, Anuj Sawani walks through how Palo Alto Networks’ API-based cloud security capabilities can complement native AWS security features to help protect your S3 data and maintain compliance of your AWS usage. This session is brought to you by AWS Partner, Palo Alto Networks. 30 Minute Presentations
DEM21 - Building Hybrid Cloud Storage Workflows with AWS Storage Gateway Join this interactive talk to see a demo of how you can use the AWS Storage Gateway to tier, and backup your on-premises data volumes to AWS with EBS Snapshots and clones. We’ll discuss your options to recover to Amazon EBS/EC2, restore volumes to your primary site, and show how you can recover to a secondary site. Bring your questions; we’ll do live Q&A. 30 Minute Presentations
DEM22 - Private Alexa Skills with Alexa for Business The Alexa Skills Kit makes the instrumentation of our voice as a computing interface as simple as ever. Alexa for Business furthers this by advancing the operational scalability of Alexa devices in an organization. In this session, we demonstrate how Alexa can be used both as a business capability and an enterprise solution. We also discuss the technical architecture of an Alexa skill and how voice automation can increase workplace efficiencies or service customers in new and exciting ways. 30 Minute Presentations
DEV01 - AWS Tips and Gotchas: The Open Guide to AWS The Open Guide to AWS is written by engineers who use AWS and is one of the most popular resources for AWS users. In this Dev Chat, we discuss some of the tips and gotchas you'll find in the Guide that are the result of hard-won experience and that you typically won’t find in other docs. We also talk about the community and how you can become involved and share your own AWS knowledge with others. Dev Chats
DEV02 - The Importance of AWS Certifications In this Dev Chat, learn the value of obtaining AWS certifications, what the different certifications are, how they rate in terms of difficulty, and how serverless architectures tend to appear more and more on the exams. Dev Chats
DEV03 - Building a Security Camera with AWS DeepLens In this Dev Chat, learn how to use AWS DeepLens to build a security system for your house. This discussion includes a brief overview of some of the AWS AI services. Dev Chats
DEV04 - Serverless Static Website Generation, Deployment, and Hosting Come to this Dev Chat and walk through an AWS CloudFormation stack with automated deployment of a templated static website: from Git in AWS CodeCommit to site generation with CodePipeline, AWS Lambda, and AWS CodeBuild, and finally to hosting with Amazon S3, Amazon CloudFront, Amazon Route 53, and AWS Certificate Manager. Dev Chats
DEV05 - Machine Learning Fundamentals AWS makes it easy to build, train, tune, and deploy Machine Learning (ML) models. If you're excited to get started with ML on AWS but want a refresher on the ML concepts behind build, train, tune, and deploy, this Dev Chat is for you. Dev Chats
DEV06 - New to AWS: Getting Started by Counter Example Are you new to AWS? Are you confused and overwhelmed by the sheer scope of it all? You're not alone. Come to this Dev Chat and learn how to think about modern AWS offerings, as demonstrated by what not to do. Dev Chats
DEV07 - Managing Not-So-Simple Infrastructures with Multiple AWS CloudFormation Stacks At Remind, we use AWS CloudFormation to manage our not-so-simple infrastructure. In this Dev Chat, learn how we manage multiple (>130) AWS CloudFormation stacks and ensure that changes are made quickly and safely with stacker 1.2. Dev Chats
DEV08 - Getting Started with Amazon ECS Do you want to deploy your Docker container into AWS? Come to this Dev Chat, and learn how to get started using Amazon Elastic Container Service (Amazon ECS) to run containers. Dev Chats
DEV09 - A Simple Beginner’s Guide to Serverless In this Dev Chat, learn what serverless is, then quickly get up and running. We discuss common use cases and implementation patterns with serverless, as well as how to avoid common pitfalls. You also have the opportunity to ask questions. Dev Chats
DEV10 - Choose Your Own Database Adventure In this Dev Chat, learn about the many options you have for storing and finding structured data using AWS and understand what the differences are among those options. Dev Chats
DEV11 - AWS Community Hero: Ask Me Anything Get to know your AWS Community Heroes from the West Coast, learn how they help spread knowledge throughout the developer community, and test their knowledge of AWS by asking them top-of-mind questions after a day at the Summit. Dev Chats
DEV12 - Bringing Power to the People with Chatbots, Slack, and AWS We can launch Amazon EC2 instances that can immediately start doing some heavy lifting. We can create deployment workflows that can do blue/green deployments and handle load balancing. Let's share that power by creating bots in Slack so that everyone can deploy. In this Dev Chat, I step through a few common scenarios that I've used and discuss other applications of bots. Dev Chats
ENT201 - Simplifying Microsoft Architectures with AWS Services Learn how to architect fully available and scalable Microsoft solutions and environments in AWS. Find out how Microsoft solutions can leverage various AWS services to achieve more resiliency, replace unnecessary complexity, simplify architecture, provide scalability, and introduce DevOps concepts, such as compliance, governance, automation, and repeatability. Also, plan authentication and authorization, and explore various hybrid scenarios with other cloud environment and on-premises solutions or infrastructure. Learn about common architecture patterns for network design, Microsoft Active Directory, and business productivity solutions like Dynamics AX, CRM, and Microsoft SharePoint, also common scenarios for custom .NET, .NET Core with Microsoft SQL deployments and migrations. Breakout Session
ENT202 - SAP on AWS: Big Businesses, Big Workloads, Big Time An amazing number of enterprise customers are moving their entire SAP landscapes, including production environments, to AWS to increase business agility and reduce costs. Some examples of enterprise customers running their core businesses on AWS today are British Petroleum, Kellogg’s, and Lionsgate. Learn how SAP customers are running mission-critical workloads on AWS and how we guide Fortune 50 companies as they rapidly adopt emerging technologies and accelerate greater innovation with the AWS Cloud. Breakout Session
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