Stockholm CNCG October Meetup
We’re looking for speakers who are building, exploring, or simply curious about Platform Engineering in the AI-Native era.
Whether you’re an experienced engineer with years of hands-on experience, a researcher exploring new ideas, or a student eager to share what you’ve learned, we’d love to hear from you. Share your experiences, lessons learned, experiments, ideas, or perspectives on how Platform Engineering is evolving as AI becomes an increasingly fundamental part of modern systems.
No matter your level of experience, this is your chance to submit a talk, share your knowledge, and take the stage.
Submit a proposal
We're thrilled to announce the next Stockholm Cloud Native Community Group event on Thursday, October 15th, at Generator Stockholm! The theme for this event is going to be Platform Engineering.
Sessions TBA!
A huge thank you to RedHat for sponsoring this event!
We’d also like to remind everyone to RSVP “Yes” only if you plan to attend:
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Limited Space: The event has limited capacity, and updating your RSVP helps open up spots for others eager to join.
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Less Food Waste: Keeping your RSVP accurate helps us reduce food waste by preparing just the right amount.
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Respect for Everyone: Promptly updating your RSVP shows consideration for fellow attendees, organisers, speakers, and sponsors.
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Better Experience: A well-organised event is a memorable one, accurate RSVPs help us tailor the experience for everyone attending.
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6:00 PM - 6:30 PM CEST
Platform Engineering - a developer's tale
in-personFollow Erik’s journey from DevOps to Platform Engineering to see what drove this transition. Hear about the growing complexity developers face today and discover how Platform Engineering restores productivity by reducing cognitive load and making the right path the easiest one to take.
SPEAKERS -
6:45 PM - 7:15 PM CEST
Building Your Own Cloud With Kubernetes
in-personKubernetes has become the foundation for running modern applications. But what if we take the same declarative model one step further and use Kubernetes to build the cloud itself?
Imagine a platform where users don't need to know which infrastructure, cluster, or provider sits underneath. They simply request what they need - a virtual machine, Kubernetes cluster, database, object storage, or GPU-backed AI environment - and the platform takes care of provisioning, configuration, policy, lifecycle, and operations.
In this session, we'll explore an architecture for building such a cloud using KCP as a scalable API and multi-tenancy layer, Crossplane for composition and orchestration, and Kubernetes operators for service-specific automation.
But provisioning resources is the easy part. Building a real cloud means solving the harder problems around tenant isolation, identity and access, policy, secrets, observability, quotas, cost visibility, lifecycle management, and creating a consistent self-service experience.
We'll share practical lessons from building this architecture and examine where Kubernetes-native abstractions work well, where they start to leak, and what additional capabilities are needed to turn a collection of cloud-native technologies into a coherent platform.
The goal isn't to recreate AWS, Azure, or GCP. It's to explore how Kubernetes can become the foundation for building your own cloud - whether that's an internal enterprise platform, a sovereign cloud, or a customer-facing cloud service.
SPEAKERS -
7:30 PM - 8:00 PM CEST
Your Platform Is Your Context: Scaling AI Agents with Platform Engineering
in-personA production issue spans multiple cloud environments. Everything looks fine in isolation, but the system behaves unexpectedly end-to-end. Reconstructing what is actually deployed requires stitching together cloud consoles, infrastructure definitions, and internal tooling.
AI agents could help with this kind of problem, but they need better context. Infrastructure is a key part of that context gap. Cloud resources, environments, configurations, and policies are essential for reasoning and decision-making, yet this information is fragmented across infrastructure-as-code, cloud providers, and internal systems.
This talk explores why a developer platform was built: to unify infrastructure management, standardize how teams provision and manage cloud resources, and provide a consistent abstraction across providers, accounts, and environments. The platform then evolves into a unified source of infrastructure context, aggregating metadata into a coherent infrastructure blueprint. By exposing this through an MCP server, it allows AI agents to understand the full infrastructure landscape, improving reasoning, troubleshooting, and the quality of assistance in engineering workflows.
SPEAKERS
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