Each November, AWS re:Invent draws thousands of AWS staff, partners, and users to Las Vegas for an intense week featuring all things AWS and AWS-related. As always, Datadog will be there and we’d love to meet you in person. Our engineers are excited to show off the new features they’ve been building and to answer your monitoring questions!
Learn more in sessions
Outside the sponsor hall and away from the lights and noise of the slot machines are the most important part of AWS re:Invent: the sessions. There are hundreds of informative sessions where you can learn about new technologies and hear how other companies are innovating using AWS tools. But with hundreds of sessions available, how do you know which ones to attend?
Below, we’ve compiled a list of interesting sessions that we’re planning to attend, along with snippets of the session descriptions:
Activision Blizzard: Giving Call of Duty Gamers an Edge with Alexa and AWS (GAM302)
In this session, we illustrate how Activision Blizzard leverages AWS services to power the Call of Duty Alexa skill, providing real-time, 1:1 personalized interactive answers and coaching. Participants gain an understanding of how AWS Lambda, Amazon CloudFront, Amazon S3, Amazon Polly, and Alexa skills and management are used to deliver AI-generated, customized responses to user requests at scale.
Breaking Containers: Chaos Engineering for Modern Applications on AWS (CON310)
You may have heard of the buzzwords “chaos engineering” and “containers.” But what do they have to do with each other? In this session, we introduce chaos engineering and share a live demo of how to practice chaos engineering principles on AWS.
Build, Train, and Deploy ML Models Quickly and Easily with Amazon SageMaker, ft. the NFL (AIM404)
Amazon SageMaker is a fully managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. In this session, we’ll dive deep into the technical details of each of the modules of Amazon SageMaker to showcase the capabilities of the platform. We also discuss the practical deployments of Amazon SageMaker through real-world customer examples.
Serverless Anti-Patterns to Avoid (SRV361)
While traditional design approaches still apply to serverless, it’s easy to fall prey to serverless anti-patterns, including tight coupling, anemic monitoring, and monolithic coding. In this session, explore common serverless anti-patterns, and how to avoid them or right-design them with AWS Lambda and other related services.
Use Amazon Rekognition to Power Video Creative Asset Production (ADT202)
In this session, hear from an AWS customer about how they leveraged Amazon Rekognition deep learning–based image and video analysis to power a data-driven decision system for creative asset production. Learn how this customer was able to leverage the raw data provided by Amazon Rekognition combined with performance data to discover actionable insights.
Sessions with Datadog
We strive to build a great monitoring platform because it enables our customers to focus on delivering new products and features that are important to their businesses. Many of our customers are doing fantastic, innovative work, and we’re pleased to partner with a few of them to share their stories and advice at AWS re:Invent. Here are the sessions we’ll be co-presenting this year:
Building SRE from Scratch at Coinbase during Hypergrowth (DEV315)
Coinbase is a secure online platform for buying, selling, transferring, and storing digital currency. This talk covers its journey from a small band of engineers working on reliability to a centralized SRE organization, and the lessons learned along the way. We dive into the processes that we created—both technical and organizational—that enabled us to quickly build a world-class reliability engineering group. We also cover what reliability really means, and more importantly, how we measure it.
How Trek10 Uses Datadog’s Distributed Tracing to Improve AWS Lambda Projects (SRV304)
Tracing is always a challenge, no matter what your architecture is. Creating an application with serverless functions, such as with AWS Lambda, provides agility and scalability to your application, but it also creates an added challenge for code tracing. In this session, we review Datadog’s distributed tracing capabilities and how Trek10 uses those capabilities to improve its customers’ applications. Learn how to use AWS X-Ray in a serverless environment. Also, learn strategies for working with traces and logs that explain application errors. Finally, learn how Trek10 uses AWS X-Ray with Datadog to measure and improve its applications’ performance.
Reuters Lives: Scaling & Monitoring Live Video in the Cloud (DEV316)
As a global media organization, Reuters delivers a wide array of event-specific content and applications tied to the news of the day. While the size and scale of each event may vary between a national election to regional breaking news, one thing they all have in common is that they are short-lived, topical, and time-critical. As a result, there is only one chance to get it right. The AWS Cloud is a perfect enabler for that, with a wide range of services. In this session Reuters shares its approach to building, managing, and monitoring robust systems for live events.
Get interactive and play
This year, Datadog is also participating in the AWS re:Invent GameDay. GameDay is a chance for you to work with a team, and use your skills to deploy, maintain, and scale an application in the face of changes, threats, traffic spikes, and shifting requirements. Bring your laptop and we’ll provide the monitoring tools to help you through AWS’s challenges.
See you at AWS re:Invent
The above are just a few of the hundreds of available sessions that we think you’ll find interesting, but take a look at the full schedule and you’re sure to find many more that pique your interest. And remember to stop by our booths at the Aria and the Venetian to say hello!
