HAPPY NEW YEAR!

It's a new year, and this means that it's time for more exciting Cloud Native Aarhus meetups. This time is no exception.

AGENDA:
17:00: Welcome to Cloud Native Aarhus by Paul Skarregaard
17:05: Welcome to BESTSELLER
17:15: "Cloud Native CI/CD at Lunar Way" by Emil Krog Ingeslev, Lunar Way
18:00: Break and food
18:30: "A Cloud Native data platform in both batch and real-time for Business Intelligence, Data Science and system-integrations." by Christian Selch, Berlingske Media
19:15: Networking
20:00: Thank you and goodbye

PRESENTATIONS:

TALK #1
"Cloud Native CI/CD at Lunar Way" by Emil Krog Ingerslev, Lunar Way

A glimpse into how we, at Lunar Way, are moving our Continuous Integration and Continuous Deployment forward by continuously improving our build, testing, patching, and deployment pipelines in a microservice world. We will throughout the talk go through some of the strategies we moved away from, some of the tools we have built, but also the future we are headed towards.

TALK #2
"A Cloud Native data platform in both batch and real-time for Business Intelligence, Data Science and system-integrations." by Christian Selch, Berlingske Media

At Berlingske Media we're undergoing a transformation of the company towards being organized in a way that supports working data-driven and include both data usage and capture into everything we do. Concurrent with this organisational transformation we're going through a process of decommission a large number of legacy-applications (operational systems as well as BI applications) to support this new way of working.

In order to support this we're in the process of building a 100% cloud native environment from the ground up on AWS (using both managed services by AWS such AWS Batch, ECS, CodeBuild/CodePipeline, RDS & SpotFleets in addition to open source technology such as Apache Airflow, Apache Spark, Scala, Python, Docker & Terraform.
These technologies help us collect, standardize and join data across operational systems (delivering data in both batch and real-time) to support analytics & reporting as well as make the data (and derived analytical insights) available in operational systems to support data-driven actions or in a fully automated, algorithm driven way.