AWS Builders' Day | London
9 May | ICC, ExCeL London
Join us for a day long jam. We will provide the beat and the incident response scenarios where you can learn new skills and practice current ones against a set of simulated security incidents. Can you identify what caused the blues? What would you do differently? How can you architect multiple AWS services to prevent it from happening again? How do you automate the incident response? Take part in our jam to find out!If you get excited about securing your stuff, challenge your skillset while learning some new techniques. The AWS security community will be on-hand to help you complete a series of incident response simulations and to build native cloud solutions. This is the opportunity to leverage a wide range of AWS services with a focus on performing incident investigation and recovery.As the challenges develop, you will take the initial infrastructure, and challenge by challenge, improve it into a resilient and secure deployment. Use your knowledge of AWS services and information security to perform incident response in the cloud and forensic analysis to find out whodunit! We will have a number of experienced AWS experts in the room that will be available to discuss ideas, provide guidance and in general help your team get through any roadblocks that pop up.New to AWS? New to security? Come and join us! Our activities are structured to accommodate AWS users of all levels. We have AWS experts, plus guided exercises, that will ramp up your security knowledge. Put your skills and creativity to the test by producing innovative solutions for a secure deployment.
Wednesday, 9 May
8:30amTeam building and breakfast10:00amWelcome and orientation10:00amThe Security Jam begins12:00pmLunch5:00pmThe Security Jam ends5:00pmA peek behind the scenes of how the Security Jam was built6:00pmWrap up and awards
9 May | ICC, ExCeL London | Level 1, Theatres 2-4
AWS Builders Day is a free technical event where new developers will learn about some of the hottest topics in cloud computing, and experienced developers can dive deep on newer AWS services. Join us for technical sessions, live demos, and networking with AWS experts and your peers.
Serverless architectures allow you to build and run applications and services without needing to provision, manage, and scale infrastructure. You will learn how to build serverless architectures on AWS using AWS Lambda and integrate with Amazon API Gateway and Amazon Cognito to create a range of applications from data processing systems to mobile backends to web applications.
Containers allow you to easily package your application's code, configurations, and dependencies into easy to use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control, regardless of deployment environment. Running containers in the AWS Cloud allows you to build robust, scalable applications and services by leveraging the benefits of the AWS Cloud such as elasticity, availability, security, and economies of scale. Learn how to run Docker-enabled applications at scale on AWS.
Amazon AI services bring natural language understanding (NLU), automatic speech recognition (ASR), visual search and image recognition, text-to-speech (TTS), and machine learning (ML) technologies within the reach of every developer. Learn how you can easily add these powerful features to your applications to enhance the way they interact with the real world.
Track: Serverless | Level 1, Theatre 2
13:00 - 14:00 - Serverless: State of the Union | Level: Getting Started (200)
14:00 - 15:00 - Serverless Architectural Patterns | Level: Deep Dive (300)
15:00 - 16:00 - Building Global Serverless Backends powered by Amazon DynamoDB Global Tables | Level: Deep Dive (300)
Track: Containers | Level 1, Theatre 3
13:00 - 14:00 - Containers: State of the Union | Level: Getting Started (200)
14:00 - 15:00 - Amazon Amazon Elastic Container Service and AWS Fargate | Level: Deep Dive (300)
15:00 - 16:00 - Amazon Elastic Container Service for Kubernetes (Amazon EKS) overview | Level: Deep Dive (200)
Track: Artificial Intelligence | Level 1, Theatre 4
13:00 - 14:00 - AI: State of the Union | Level: Getting Started (200)
14:00 - 15:00 - Deep Learning for Developers: Apache MXNet & Tensorflow | Level: Deep Dive (300)
15:00 - 16:00 - Machine Learning: From Notebook to Production with Amazon Sagemaker | Level: Deep Dive (300)