Whether you are new to the cloud or an experienced user, you will learn something new at the AWS Summit. This free event is designed to educate new customers about the AWS platform, and offer existing customers information on architecture best practices and new services. Come early to hear an exciting keynote with updates on AWS solutions, great customer stories and attend the afternoon breakout sessions covering hot topics like new services, architecture, performance, and operations.

More than 50 technical sessions: services intros, new service deep dives, solutions and tech talks.

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Hands-on training opportunities in paid training bootcamps and free hands-on labs.

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A high-energy expo with top AWS technology and consulting partners, and access to AWS engineers and architects.

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AWS activities include GameDay, an APN Partner breakfast, and a networking reception.

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Matt-Wood

Matt Wood is part of the technical leadership team at Amazon Web Services, pulling from over a decade of expertise in distributed systems, architecture, web-scale analytics, big data, machine learning and high performance computing to help customers bring their ideas to life through technology.”  After medical school, Dr. Wood completed his PhD in machine learning and bioinformatics, joined Cornell as a research fellow, and contributed to the next generation DNA sequencing platform at the Wellcome Trust Sanger Institute. Since joining Amazon Web Services in early 2010, he has played a role in introducing many significant new features and services to customers on the AWS Cloud, including AWS Lambda, Amazon Kinesis and Amazon Machine Learning.

8:00am - 9:00am
Registration and Breakfast
9:00am - 5:00pm
Bootcamps and GameDay
10:30am - 10:45am
Morning Break
12:00pm - 1:00pm Lunch
8:00am - 7:00pm Registration
8:00am - 7:00pm Hands-on Labs
8:00am - 9:30am Continental Breakfast in Partner & Solutions Expo

Join us to learn how the APN can accelerate and support your cloud business strategy. The session will highlight various programs and resources available to APN Partners looking to grow and develop their business on AWS. We will also provide you with insight into the Training and Certification offerings available to APN partners.

This sessions is for architects and storage admins seeking simple and non-disruptive ways to adopt cloud platforms in their organizations. You will learn how to deliver lower costs and greater scale with nearly seamless integration into your existing B&R processes. Services mentioned: S3, Glacier, Snowball, 3rd party partners, storage gateway, and ingestion services.

Level: Intro

Track: Enterprise

Whether you are building an e-commerce site or a business application, security is a key consideration when architecting your website or application. In this session, you will learn more about some of the things CloudFront does behind the scenes to protect the delivery of your content such as OCSP Stapling and Perfect Forward Secrecy. We will also share best practices on how you can use CloudFront to securely deliver content end-to-end, control who accesses your content, how to shield your origins from the Internet, and getting an A+ on SSL labs.

Level: Intro

Track: Services

AWS Enterprise Applications deliver managed, secure desktop and productivity capabilities run in the AWS cloud. Amazon WorkSpaces allows customers to easily provision cloud-based desktops that allow end-users to securely access the documents, applications, and resources they need with the device of their choice. Amazon WorkMail is a secure and managed business email and calendaring service that gives users the ability to seamlessly access their email, contacts, and calendars while allowing IT to maintain control over encryption and location of data. The speakers also dive into Amazon WorkDocs, a fully managed and secure enterprise storage and sharing service with strong administrative controls and feedback capabilities. In this session, we explore each of these services, explain how your organization can benefit from them, and also provide a brief demo to show how they work together.

Level: Intro

Track: Services

Learn how Amazon Redshift, our fully managed, petabyte-scale data warehouse, can help you quickly and cost-effectively analyze all of your data using your existing business intelligence tools. Get an introduction to how Amazon Redshift uses massively parallel processing, scale-out architecture, and columnar direct-attached storage to minimize I/O time and maximize performance. Learn how you can gain deeper business insights and save money and time by migrating to Amazon Redshift. Take away strategies for migrating from on-premises data warehousing solutions, tuning schema and queries, and utilizing third party solutions.

Level: Intro

Track: Services

AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. In this session, we will discuss how constrained devices can leverage AWS IoT to send data to the cloud and receive commands back to the device using the protocol of their choice. We will discuss how devices can connect securely using MQTT and HTTP protocols, and how can developers and businesses can leverage the AWS IoT Rules Engine, Thing Shadows, and accelerate prototype development using AWS IoT Device SDKs. We will cover major hardware platforms from Arduino, Marvell, Dragonboard and MediaTek.

Level: Intro

Track: Services

This session will begin with an introduction to non-relational (NoSQL) databases and compare them with relational (SQL) databases. We will also explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service. Learn the fundamentals of DynamoDB and see the new DynamoDB console first-hand as we discuss common use cases and benefits of this high-performance key-value and JSON document store.

Level: Intro

Track: Services

Increasingly, customers across the public sector are going “all-in” with AWS Cloud. Instead of asking whether to go all-in, these pioneers asked how quickly they could do it. Balancing the need to improve efficiency, stay agile, and meet mandates, this panel features a range of government and education customers highlighting their journey to the cloud, their decision-making and insight on their decision to move all-in or cloud-first, the value they've seen, and the impact to the mission. Since adopting the all-in strategy, we will hear about their future roadmap and what is now possible with the power of the cloud.

Level: Intro

Track: Enterprise

10:00am - 11:30am Keynote
11:30am - 1:30pm
Lunch in the Partner & Solutions Expo
11:30am - 7:00pm Partner & Solutions Expo

Intended for customers who have (or will have) thousands of instances on AWS, this session is about reducing the complexity of managing costs for these large fleets so they run efficiently. Attendees will learn about common roadblocks that prevent large customers from cost optimizing, tools they can use to efficiently remove those roadblocks, and techniques to monitor their rate of cost optimization. The session will include a case study that will talk in detail about the millions of dollars saved using these techniques. Customers will learn about a range of templates they can use to quickly implement these techniques, and also partners who can help them implement these templates.

Level: Deep Dive

Track: Enterprise

Come learn about new and existing Amazon S3 features that can help you better protect your data, save on cost, and improve usability, security, and performance. We will cover a wide variety of Amazon S3 features and go into depth on several newer features with configuration and code snippets, so you can apply the learnings on your object storage workloads.

Level: Deep Dive

Track: Services

The world is producing an ever increasing volume, velocity, and variety of big data. Consumers and businesses are demanding up-to-the-second (or even millisecond) analytics on their fast-moving data, in addition to classic batch processing. AWS delivers many technologies for solving big data problems. But what services should you use, why, when, and how? In this session, we simplify big data processing as a data bus comprising various stages: ingest, store, process, and visualize. Next, we discuss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on. Finally, we provide reference architecture, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.

Level: Big Data & Analytics

Track: Intro

AWS and its partners offer a wide range of tools and features to help you to meet your security objectives. These tools mirror the familiar controls you deploy within your on-premises environments. AWS provides security-specific tools and features across network security, configuration management, access control and data security. In addition, AWS provides monitoring and logging tools to can provide full visibility into what is happening in your environment. In this session, you will get introduced to the range of security tools and features that AWS offers, and the latest security innovations coming from AWS.

Level: Intro

Track: Security & Compliance

This session is for IT pros working with compliance managers to deliver solutions that lower costs and still meet compliance demands. You will learn how to move large scale data stores to the cloud, while remaining compliant with existing regulations. Services mentioned: S3, Glacier and the Vault Lock feature, Snowball, ingestion services. 

Level: Intro

Track: Services

Amazon Aurora is a MySQL-compatible database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. This session introduces you to Amazon Aurora, explains common use cases for the service, and helps you get started with building your first Amazon Aurora–powered application.

Level: Intro

Track: Services

As a global company, Amazon.com employs over 100,000 individuals worldwide, with a range of full-time employees, contractors, partners, subsidiaries, and vendors, all of whom need some level of secure and potentially restricted access to the Amazon.com corporate network. By starting the move to Amazon WorkSpaces in 2015, Amazon.com centralized access to its corporate network without relying on VPN remote access or complex office networking topologies. In this session, we will dive deep to show exactly how Amazon.com approached its WorkSpaces design, implementation, and rollout. The talk provides detailed working knowledge on multiple Amazon VPC design considerations, including challenging IPv4 address space issues, AWS Direct Connect integrations with transitive routing, global Active Directory and GPO deployment, content filtering, patch management, virtualized applications with Amazon WorkSpaces Application Manager (Amazon WAM), offline access with Amazon WorkDocs, device management, and disaster recovery considerations. This session will also look at the long-pole migration to WorkSpaces, including the dependencies on office networking bandwidth and access points, and the move to a more decentralized networking infrastructure. Representatives from both AWS and Amazon.com will be presenting.

Level: Deep Dive

Track: Enterprise

Amazon DynamoDB is a fully managed NoSQL database service for applications that need consistent, single-digit millisecond latency at any scale. This talk explores DynamoDB capabilities and benefits in detail and discusses how to get the most out of your DynamoDB database. We go over schema design best practices with DynamoDB across multiple use cases, including gaming, AdTech, IoT, and others. We also explore designing efficient indexes, scanning, and querying, and go into detail on a number of recently released features, including JSON document support, Streams, and more.

Level: Deep Dive

Track: Services

Want to get ramped up on how to use Amazon's big data web services and launch your first big data application on AWS? Join us on our journey as we build a big data application in real-time using Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon DynamoDB, and Amazon S3. We review architecture design patterns for big data solutions on AWS, and give you access to a take-home lab so that you can rebuild and customize the application yourself.

Level: Intro

Track: Big Data & Analytics

AWS provides security capabilities and services to provide control over your AWS resources, how they are accessed, who can access them, and what privileges they are allowed. Access Management, Identity management, change control, and auditing can all be achieved both at a macro and granular level.

In this session we’ll explore services such as AWS Identity Access Management (IAM), AWS CloudTrail, Amazon Directory Service and Amazon Inspector, so that you understand how use them effectively to manage user privilege and access. We’ll also look at Amazon Virtual Private Cloud (VPC) and how to use it’s features to build security at the network access layer. After this session you should understand and be able to: Configure Users, Groups, and Roles to manage actions, Configure monitoring and logging to audit changes in your system, and Design your AWS network using VPC for security.

Level:  Intro

Track: Security & Complaince

Amazon Elastic Compute Cloud (Amazon EC2) provides a broad selection of instance types to accommodate a diverse mix of workloads. In this technical session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current-generation design choices of the different instance families, including the General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance families. We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.

Level: Intro

Track: Services

In addition to running databases in Amazon EC2, AWS customers can choose among a variety of managed database services. These services save effort, save time, and unlock new capabilities and economies. In this session, we make it easy to understand how they differ, what they have in common, and how to choose one or more. We explain the fundamentals of Amazon DynamoDB, a fully managed NoSQL database service; Amazon RDS, a relational database service in the cloud; Amazon ElastiCache, a fast, in-memory caching service in the cloud; and Amazon Redshift, a fully managed, petabyte-scale data-warehouse solution that can be surprisingly economical. We will cover how each service might help support your application, how much each service costs, and how to get started.

Level: Intro

Track: Services

With AWS Lambda, you can easily build scalable microservices for mobile, web, and IoT applications or respond to events from other AWS services without managing infrastructure. In this session, you’ll see demonstrations and hear more about newly launched features. We’ll show you how to use Lambda to build web, mobile, or IoT backends and voice-enabled apps, and we'll show you how to extend both AWS and third party services by triggering Lambda functions. We’ll also provide productivity and performance tips for getting the most out of your Lambda functions and show how cloud native architectures use Lambda to eliminate “cold servers” and excess capacity without sacrificing scalability or responsiveness.

Level: Intro

Track: Services

Amazon EC2 provides a broad selection of instance types to accommodate a diverse mix of workloads. In this session, we provide an overview of the Amazon EC2 instance platform, key platform features, and the concept of instance generations. We dive into the current generation design choices of the different instance families, including General Purpose, Compute Optimized, Storage Optimized, Memory Optimized, and GPU instance.  We also detail best practices and share performance tips for getting the most out of your Amazon EC2 instances.

Level: Deep Dive

Track: Services

Amazon RDS allows customers to launch an optimally configured, secure and highly available database with just a few clicks. It provides cost-efficient and resizable capacity while managing time-consuming database administration tasks, freeing you up to focus on your applications and business. Amazon RDS provides you six familiar database engines to choose from, including Amazon Aurora, Oracle, Microsoft SQL Server, PostgreSQL, MySQL and MariaDB. In this session we will take a closer look at the capabilities of RDS and all the different options available. We will do a deep dive into how RDS works and how Aurora differs from the rest of the engines.

Level: Deep Dive

Track: Services

Microservices is a software architectural method where you decompose complex applications into smaller, independent services. Containers are great for running small decoupled services, but how do you coordinate running microservices in production at scale and what AWS services do you use?

In this session, we will explore the reasoning and concepts behind microservices and how containers simplify building microservices based applications. We will also demonstrate how you can easily launch microservices on Amazon EC2 Container Service and how you can use ELB and Route 53 to easily do service discovery between microservices.

Level: Deep Dive

Track: Services

Amazon QuickSight is a fast, cloud-powered business intelligence (BI) service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data. In this session, we demonstrate how you can point Amazon QuickSight to AWS data stores, flat files, or other third-party data sources and begin visualizing your data in minutes. We also introduce you to SPICE - a Super-fast, Parallel, In-memory, Calculation Engine in Amazon QuickSight, which performs advanced calculations and render visualizations rapidly without requiring any additional infrastructure, SQL programming, or dimensional modeling, so you can seamlessly scale to hundreds of thousands of users and petabytes of data. Lastly, you will see how Amazon QuickSight provides you with smart visualizations and graphs that are optimized for your different data types, to ensure the most suitable and appropriate visualization to conduct your analysis, and how to share these visualization stories using the built-in collaboration tools.

Level: Intro

Track: Big Data & Analytics

Dedicated Hosts enable you to save money, by leveraging your investments in your own server-bound licenses including Windows Server, SQL Server, and SUSE Linux Enterprise Server, in EC2.  Using Run Command, you can remotely invoke pre-defined actions or ad-hoc scripts on groups of instances all from the EC2 Console or API, this way you can easily manage configuration change on your instances. In this session we will take a look at these two new capabilities which enhance the EC2 experience.

Level: Intro

Track: Enterprise

AWS offers you the ability to add additional layers of security to your data at rest in the cloud, providing access control as well scalable and efficient encryption features. Flexible key management options allow you to choose whether to have AWS manage the encryption keys or to keep complete control over the keys yourself. In this session, you will learn how to secure data when using AWS services. We will discuss data encryption using Key Management Service, S3 access controls, edge and host access security, and database platform security features. 

Level: Intro

Track: Security & Compliance

Mobile app development is complex and time-consuming. Learn how to rapidly deliver mobile apps with AWS Mobile Hub. We will demonstrate how AWS Mobile Hub abstracts the undifferentiated heavy lifting by providing a single, integrated experience for discovering, provisioning and configuring AWS cloud resources you need to build, test, and monitor usage of your mobile apps.

Level: Intro

Track: Services

Get answers to technical questions, frequently asked by those starting to work with streaming data. Learn best practices for building a real-time streaming data architecture on AWS with Amazon Kinesis, Spark Streaming, AWS Lambda, and Amazon EMR. First, we will focus on building a scalable, durable streaming data ingestion workflow from data producers like mobile devices, servers, or even web browsers. We will provide guidelines to minimize duplicates and achieve exactly-once processing semantics in your stream-processing applications. Then, we will show some of the proven architectures for processing streaming data using a combination of tools including Amazon Kinesis Stream, AWS Lambda, and Spark Streaming running on Amazon EMR.

Level: Deep Dive

Track: Big Data & Analytics

In this session, we walk through the Amazon VPC network presentation and describe the problems we were trying to solve when we created it. Next, we walk through how these problems are traditionally solved, and why those solutions are not scalable, inexpensive, or secure enough for AWS. Finally, we provide an overview of the solution that we've implemented and discuss some of the unique mechanisms that we use to ensure customer isolation, get packets into and out of the network, and support new features like VPC endpoints.

Level: Deep Dive

Track: Enterprise

Amazon Aurora is a MySQL-compatible relational database engine that combines the speed and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. Amazon Aurora is disruptive technology in the database space, bringing a new architectural model and distributed systems techniques to provide far higher performance, availability and durability than previously available using conventional monolithic database techniques. In this session, we will do a deep-dive into some of the key innovations behind Amazon Aurora, discuss best practices and configurations, and share early customer experience from the field.

Level: Deep Dive

Track: Enterprise

Amazon Elastic Block Store (Amazon EBS) provides persistent block-level storage volumes for use with Amazon EC2 instances. In this technical session, we conduct a detailed analysis of the differences among the three types of Amazon EBS block storage: General Purpose (SSD), Provisioned IOPS (SSD), and Magnetic. We discuss how to maximize Amazon EBS performance, with a special eye towards low-latency, high-throughput applications like databases. We discuss the performance implications of our new larger and faster SSD volumes (up to 16 TB with increased maximum throughput levels), as well as Amazon EBS encryption. Throughout, we share tips for success.

Level: Deep Dive

Track: Services

AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices. As an IoT developer, you will need to interact with AWS services like Amazon Kinesis, AWS Lambda, and Amazon Machine Learning to get the most from your IoT application. In this session, we will do a deep dive on how to define rules in the Rules Engine, or retrieve the last known and desired state of device using Device Shadows, routing data from devices to AWS services to leverage the entire cloud for your Internet of Things application. 

Level: Deep Dive

Track: Services

Learn about the new AWS Database Migration Service, which helps you migrate databases with minimal downtime from on-premises and Amazon EC2 environments to Amazon RDS, Amazon Redshift, Amazon Aurora and EC2 databases. We discuss homogeneous (e.g. Oracle-to-Oracle, PostgreSQL-to-PostgreSQL, etc.) and heterogeneous (e.g. Oracle to Aurora, SQL Server to MariaDB) database migrations. We also talk about the new AWS Schema Conversion Tool that saves you development time when migrating your Oracle and SQL Server database schemas, including PL/SQL and T-SQL procedural code, to their MySQL, MariaDB and Aurora equivalents.

Level: Intro

Track: Enterprise

Up-front design of your AWS account can be done in a way that creates a reliably secure and controlled environment no matter how the AWS resources are used. This session will focus on "Secure by Design" principles and show how an AWS environment can be configured to provide a reliable operational security control capability to meet the compliance needs across multiple industry verticals (e.g. HIPAA, FISMA, PCI, etc.). This will include operational reporting through the use of AWS services (e.g. Config/Config Rules, CloudTrail, Inspector, etc.) as well as partner integration capabilities with partner solutions such as Splunk and Allgress for real-time governance, risk, and compliance reporting. Key takeaways from this session include: learning AWS Security best practices and automation capabilities for securing your environment, Automation accelerators for configuration, compliance, and audit reporting using CloudFormation, Config/Config Rules, CloudTrail, Inspector, etc., and ISV integration for real-time notification and reporting for security, compliance, and auditing in the cloud.

Level: Intro

Track: Security & Compliance

In recent years, Docker containers have become a key component of modern application design. Increasingly, developers are breaking their applications apart into smaller components and distributing them across a pool of compute resources. Using Docker on your local development machine is simple, but running Docker applications at scale in production can be difficult.

 

In this session, we will discuss the difficulties of running Docker in production and how Amazon EC2 Container Service (ECS) can be used to reduce the operational burdens. We will give an overview of the core architectural principles underlying Amazon ECS., and we will walk through a number of patterns used by our customers to run their microservices platforms, to run batch jobs, and for deployments and continuous integration. We will also demonstrate how to define multi-container applications with Docker Compose and deploy and scale them seamlessly on a cluster with Amazon ECS.

Level: Intro

Track: Services

In the event of a disaster, you need to be able to recover lost data quickly to ensure business continuity. For critical applications, keeping your time to recover and data loss to a minimum as well as optimizing your overall capital expense can be challenging. This session presents AWS features and services along with Disaster Recovery architectures that you can leverage when building highly available and disaster resilient applications. We will provide recommendations on how to improve your Disaster Recovery plan and discuss example scenarios showing how to recover from a disaster.

Level: Deep Dive

Track: Enterprise

Elastic Load Balancing automatically distributes incoming application traffic across multiple Amazon EC2 instances for fault tolerance and load distribution. In this session, we go into detail about Elastic Load Balancing's configuration and day-to-day management, as well as its use in conjunction with Auto Scaling. We explain how to make decisions about the service and share best practices and useful tips for success.

Level: Deep Dive

Track: Services

Amazon Machine Learning (Amazon ML) is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning’s powerful algorithms create machine learning models by finding patterns in your existing data. The service uses these models to process new data and generate predictions for your application. In this session, we will show you how to use machine learning with the data you already have to arrive at accurate and actionable predictions - to create smart applications. You will learn how to use and integrate Amazon ML into your applications to take advantage of predictive analysis in the cloud.

Level: Intro

Track: Enterprise

As software teams transition to cloud-based architectures and adopt more agile processes, the tools they need to support their development cycles will change. In this session, we'll take you through the transition that Amazon made to a service-oriented architecture over a decade ago. We will share the lessons we learned, the processes we adopted, and the tools we built to increase both our agility and reliability. We will also introduce you to AWS CodeCommit, AWS CodePipeline, and AWS CodeDeploy, three new services born out of Amazon's internal DevOps experience.

Level: Intro

Track: Enterprise

Amazon Kinesis provides services for you to work with streaming data on AWS. Learn how to load streaming data continuously and cost-effectively to Amazon S3 and Amazon Redshift using Amazon Kinesis Firehose without writing custom stream processing code. Get an introduction to building custom stream processing applications with Amazon Kinesis Streams for specialized needs.

Level: Intro

Track: Services

In this session, we will walk through the fundamentals of Amazon Virtual Private Cloud (VPC). First, we will cover build-out and design fundamentals for VPC, including picking your IP space, subnetting, routing, security, NAT, and much more. We will then transition into different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect.  This mid-level architecture discussion is aimed at architects, network administrators, and technology decision-makers interested in understanding the building blocks AWS makes available with VPC and how you can connect this with your offices and current data center footprint.

Level: Intro

Track: Enterprise

Diversity in the technical workforce is a valuable asset for all companies, because it encourages different types of thinking and taps into the full potential of your team. Come learn from one AWS organization how a fast-moving, fast-growing team has put in place a "diversity circle" for personal and professional development. This program provides a peer mentoring group that builds skills and establishes informal networking support. The host and active participants of this two-year program will share tips and best practices for running a diversity peer mentoring group that spans engineering, product management, and operations.

5:30pm - 7:00pm
Networking Reception in the Partner & Solutions Expo

McCormick Place, Lakeside Center
2301 S Martin Luther King Dr.
Chicago, IL 60616