November 8th, 2017 we organized our first AWS meetup in Amsterdam. During this event, we will celebrate this anniversary with special talks and lightning talks. Good food, a birthday cake, and drinks.
18:00-19:00 Registration, Food & Drinks
18:45-21:15 Lightning Talks
20:00-20:05 Short break
21:15-22:00 Drinks & Networking 🍻
1️⃣ The AWS Meetup, it's still day 1 (10 min)
Speaker: Martijn van Dongen
The Amazon Flywheel is probably familiar for many of you, nonetheless, you'll get a quick introduction. I created a similar model for the AWS meetups and implemented many more Amazon / AWS practices. Learn how many of you contributed to the community, and what to expect next year!
🤖 Building Alexa Skills (30 min)
Speaker: Amer Grgic
Ever wondered how to build Alexa Skills? In this talk, Amer Grgic will walk you through the steps to building an Alexa skill. Some of the examples will feature techniques like AWS Lambda, Rekognition, S3, and the Alexa Skills Kit.
🅿️ Parking: deep learning to the rescue (10 min)
Speaker: Leon Degeling
In this 10 minute talk, I will show you how I deployed 7 AWS services to optimize parking saving at least 10 seconds per day. (Covers: Sagemaker, DeepLens, S3, SNS, DynamoDB, Rekognition, Textract and an IOS-app)
🆙Detecting outages at scaled !!!CANCELED!!!
Speaker: Sander van de Graaf
Sometimes the internet is having a bad day, and Facebook, Instagram or Whatsapp doesn’t work. You and countless of other people rush to downdetector.com to check if that’s really the case. Here’s our story about how we handle these massive spikes in reports and how we make our service scale.
🧰Cloud Development Kit (40 min)
Speakers: Javy de Koning, Otto Kruse
Infra-as-code doesn’t mean YAML only: behold the power of Cloud Development Kit. We will give you a brief introduction to the AWS Cloud Development Kit (CDK) and will demonstrate its power through a series of demo’s.
🧠Machine Learning Industrialization (40 min)
Speakers: Zhe Sun, Luuk Figdor
To overcome the challenges of productionizing models from a PoC, AWS Professional Service team introduces a framework to deploy models faster and more manageable. Services such as AWS CodePipeline, AWS CodeCommit, AWS CodeBuild, AWS CloudFormation, Amazon Sagemaker, AWS Step Functions, AWS Lambda, AWS Glue, Amazon DynamoDB are used.