Join our AWS Evangelist’s team for a full day of technical deep dive on the AWS platform. Understand the value add of a cloud digitalization journey, learn how to implement a Microservice architecture using containers and Kubernetes on AWS and learn how to leverage your data estate with machine learning to create new value for your customers.
Who should attend
This full day event is targeted at technical resources that use or plan to use the AWS platform in their architecture.
Please register below, we have limited seats available
Date: 30. Oct. 2019
Time: 08.00 - 16.00
Where: Crayon AS, Sandakerveien 114A, 0402 Oslo 4th floor
Breakfastsnack and lunch will be served
What to expect
Digital transformation journey
Is AWS digital transformation only about lifting-and-shifting to AWS or its about shifting culture, changing the cost model, going cloud native and improving productivity? What are customer migration readiness challenges? What are business drivers and barriers for cloud adoption? This talk will cover these main questions for AWS Journey!
Introduction to containers and Kubernetes
Container orchestration with EKS on AWS
During this session we will talk about specifics of container orchestration with kubernetes on AWS platform (EKS), study how AWS native services such as Route53, ELB, CloudWatch, IAM, X-Ray integrates.
How to monetize your data estate with machine learning on AWS
Many say data is the new oil. But raw data is like crude oil – only by applying the right tools and techniques can you extract and realize the real value.
Building a datalake on AWS
With data growing exponentially, there are many new big data challenges in terms of how to utilize data more efficient and access it promptly.
Yes I will attend
Due to limited seating we reserve the right to prioritize existing customers if needed
|AWS Digital Transformation Journey - Migration Readiness and Cloud Adoption
|Container orchestration with EKS on AWS Part 1
|Container orchestration with EKS on AWS - part 2
|How to monetize your data estate with machine learning on AWS
|Building a Data Lake on AWS
|Customer case study - ML Project on AWS