AWS re:Invent 2016

Latest Episodes:

DAT308: Fireside chat with Groupon, Intuit, and LifeLock on solving Big Data database challenges with Redis Dec 25, 2016

Show notes

Redis Labs' CMO is hosting a fireside chat with leaders from multiple industries including Groupon (e-commerce ), Intuit (Finance ), and LifeLock (Identity Protection ). This conversation-style session will cover the Big Data related challenges faced by these leading companies as they scale their applications, ensure high availability, serve the best user experience at lowest latencies, and optimize between cloud and on-premises operations. The introductory level session will appeal to both developer and DevOps functions. They will hear about diverse use cases such as recommendations engine, hybrid transactions and analytics operations, and time-series data analysis. The audience will learn how the Redis in-memory database platform addresses the above use cases with its multi-model capability and in a cost effective manner to meet the needs of the next generation applications.

DAT310: Building Real-Time Campaign Analytics Using AWS Services Dec 25, 2016

Show notes

Quantcast provides its advertising clients the ability to run targeted ad campaigns reaching millions of online users. The real-time bidding for campaigns runs on thousands of machines across the world. When Quantcast wanted to collect and analyze campaign metrics in real-time, they turned to AWS to rapidly build a scalable, resilient, and extensible framework. Quantcast used Amazon Kinesis streams to stage data, Amazon EC2 instances to shuffle and aggregate the data, and Amazon DynamoDB and Amazon ElastiCache for building scalable time-series databases. With Elastic Load Balancing and Auto Scaling groups, they are able to set up distributed microservices with minimal operation overhead. This session discusses their use case, how they architected the application with AWS technologies integrated with their existing home-grown stack, and the lessons they learned.

DAT311: How Toyota Racing Development Makes Racing Decisions in Real Time with AWS Dec 25, 2016

Show notes

Toyota Racing Development (TRD) developed a robust and highly performant real-time data analysis tool for professional racing. In this talk, learn how we structured a reliable, maintainable, decoupled architecture built around Amazon DynamoDB as both a streaming mechanism and a long-term persistent data store. In racing, milliseconds matter and even moments of downtime can cost a race. You'll see how we used DynamoDB together with Amazon Kinesis and Kinesis Firehose to build a real-time streaming data analysis tool for competitive racing.

DAT312: How DataXu scaled its Attribution System to handle billions of events per day with Amazon DynamoDB Dec 25, 2016

Show notes

'Attribution' is the marketing term of art for allocating full or partial credit to individual advertisements that eventually lead to a purchase, sign up, download, or other desired consumer interaction. We'll share how we use DynamoDB at the core of our attribution system to store terabytes of advertising history data. The system is cost effective and dynamically scales from 0 to 300K requests per second on demand with predictable performance and low operational overhead.

DAT313: 6 Million New Registrations in 30 Days: How the Chick-fil-A One App Scaled with AWS Dec 25, 2016

Show notes

Chris leads the team providing back-end services for the massively popular Chick-fil-A One mobile app that launched in June 2016. Chick-fil-A follows AWS best practices for web services and leverages numerous AWS services, including Elastic Beanstalk, DynamoDB, Lambda, and Amazon S3. This was the largest technology-dependent promotion in Chick-fil-A history. To ensure their architecture would perform at unknown and massive scale, Chris worked with AWS Support through an AWS Infrastructure Event Management (IEM) engagement and leaned on automated operations to enable load testing before launch.

DAT315: Streaming ETL for RDS and DynamoDB Dec 25, 2016

Show notes

During this session Greg Brandt and Liyin Tang, Data Infrastructure engineers from Airbnb, will discuss the design and architecture of Airbnb's streaming ETL infrastructure, which exports data from RDS for MySQL and DynamoDB into Airbnb's data warehouse, using a system called SpinalTap. We will also discuss how we leverage Spark Streaming to compute derived data from tracking topics and/or database tables, and HBase to provide immediate data access and generate cleanly time-partitioned Hive tables.

DEV301: Amazon CloudWatch Logs and AWS Lambda: A Match Made in Heaven Dec 25, 2016

Show notes

In this session, we cover three common scenarios that include Amazon CloudWatch Logs and AWS Lambda. First, you learn how to build an Elasticsearch cluster from historical data using Amazon S3, Lambda, and CloudWatch Logs. Next, you learn how to add details to CloudWatch alarm notifications using Amazon SNS and Lambda. Finally, we show you how to bring Elastic Load Balancing logs to CloudWatch Logs using S3 bucket triggers from Lambda.

DEV303: Deploying and Managing .NET Pipelines and Microsoft Workloads Dec 25, 2016

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In this session, we’ll look at the AWS services that customers are using to build and deploy Microsoft-based solutions that use technologies like Windows, .NET, SQL Server, and PowerShell. We’ll start by showing you how to build a Windows-based CI/CD pipeline on AWS using AWS CodeDeploy, AWS CodePipeline, AWS CloudFormation, and PowerShell using an AWS Quick Start. We’ll also cover best practices for how you can create templates that let you automatically deploy ready-to-use Windows products by leveraging services and tools like AWS CloudFormation, PowerShell, and Git. Woot, an online retailer for electronics, will share how it moved from using a complex mix of custom PowerShell code for its DevOps processes to using services like Amazon EC2 Simple Systems Manager (SSM), AWS CodeDeploy, and AWS Directory Service. This migration eliminated the need for complex PowerShell scripts and reduced the operational complexity of performing operational tasks like renaming servers, joining domains, and securely handling keys.

DEV317: Automating and Scaling Infrastructure Administration with AWS Management Tools Dec 25, 2016

Show notes

In this session, we’ll show how customers can use management tools to standardize the creation of AWS resources and then govern these resources through the lifecycle. By using AWS CloudFormation and AWS Service Catalog to provision resources at scale, AWS Config to audit any changes to the configuration of these resources, Amazon CloudWatch to monitor the health of these resources, and AWS CloudTrail to audit who or what made API calls to these resources, customers can automate and scale the administration of their infrastructure on AWS. They can even go one step further and automate compliance checking and remediation by using AWS Config rules and Amazon CloudWatch Events. We will demo how this is possible by looking at some common use cases.

ENT202: Driving AWS Cost Efficiency at Your Company Dec 25, 2016

Show notes

In this session, you’ll learn how large, scaled organizations control and optimize their AWS costs. You’ll understand how you can grow usage in a cost-effective way across all business units or product teams. Attendees will walk away with new strategies and tools for driving cost-efficient decision-making at every level of the company.

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