The auto industry is midst a data revolution that is transforming how companies do business. Once a scarce resource, data has now become abundant and cheap. What are the new technologies that change the way we produce, collect, process, store, and analyze data. What new streams of data are being created with Industry 4.0 and the Internet of Things on the horizon, is there significant value to taking a strategic approach to Fast Data. How is Porsche building the next level Data Streaming Platform with open source technologies and how we are using CI/CD pipelines amongst others in order to serve our use cases.

1. 1
Evolution of Kafka @
Porsche

2. 2
Over The Air
One solution as the backbone of digital after-sales.
Deployment of updates via OTA. Powered by Apache Kafka.

3. 3
Handling Data in Motion. Product teams set up their own Kafka clusters to reorganize
their system architecture, focussing solely on purpose, underestimating management
overhead.
Wild Growth of Kafka Instances

4. 4
Distributing Data Simplified
Enabling the data-driven company. One central platform, providing a unifying data
architecture for setting clean standards and enabling cross-boundary data usage with a
single source of truth.
A central platform as the backbone of a data-driven company

5. 5
Simplicity by Design
Streamzilla
MirrorMaker
Deployment
Smooth multi-cluster
orchestration
Topic Management
Minimum toil,
maximum yield
A single source of truth. The pipeline provides transparency about the cluster state,
while increasing productivity and enhancing fault-tolerance & repeatability through
automated execution.
Cluster Direction
Integrated self-healing
capabilities

6. Where tradition meets innovation.
Thank you for your attention!