We had an amazing time at the Enterprise DevOps Summit Berlin 2024 with the CircleCI team! Super impressed by the high quality of the talks, interactions and of course the attendees.
Some of my personal takeaways:
- Scaling DevOps and Agile is a challenge, and typically more a cultural than a technical challenge.
- As Europeans (I'm from the Netherlands btw), we care about "the data", as it should be ;)
- Regulations and compliancy are big topics, and one of the more interesting ones is "compliancy-as-code" for f.e. CI/CD pipelines.
- Jenkins is still a thing, and often it's the "scary box in the corner that nobody wants to touch because it might bite you" :)
- The move from "on-premises" and "self-managed/self-hosted" towards cloud-native is happening, and hybrid setups are an attractive stepping-stone.
- Measuring DevOps maturity and performance is practiced (f.e. using DORA or SAFe DevOps Health Radar).
- ML/AI is on the radar, but due to compliancy and regulations, it's typically applied in an experimental setting, but this could change quickly.
Tnx to (amongst others) Dr. Timm Neu from Volkswagen Group, Rüdiger Gnausch and Ralph Benjamin Magnus from KfW, Sascha Schärich from Deutsche Telekom, Michael Claus from Transdev, Stefan Walaski from Commerzbank AG, Dr. Martin Strunk from Deutsche Bahn, Sven Schuetz,Arne Hopf and Natalia Timotin from Hermes, and Christoph Bünte from LiveIntent, a Zeta Global Company for the great talks and dialogues!
Would love to hear your thoughts and take aways too, feel free to share in the comments!
#enterprise #devops #automation #berlin #circleci
VP - Architecture and Development @ DBS Bank | Microservices, Cloud, TDD
2moThis was probably the best panel discussion of the event. I appreciated the sensible and prudent answers, particularly the points about AI taking over some redundant jobs while creating new ones, companies becoming more focused on achieving measurable outcomes with AI, and the reminder that human intervention will remain essential, as AI cannot fully automate everything. Additionally, AI cannot provide 100% accurate answers, so it’s crucial to have a solid understanding and strategies to work around its limitations.