April 11, 2026

KubeCon & Cloud Native Con 2026 Recap

The largest open source conference in history

Here are some of the best quotes and insights I collected from Amsterdam 2026.

  • Co-located events (Platform Engineering Day, FluxCon and Agentic Day)
  • Kubecon and CloudNativeCon
The people you are talking to don't speak DORA. Rephrase your metrics to make them understandable to your stakeholders.

My top talks

A great perspective on the evolution of platform engineering, GitOps+AI done right by having a security-first approach, and great insights into what it means to build platforms for AI in 2026. Here are the recording that have been published so far:

Think of developer burnout as a security proxy: the more burned out your devs are, the higher your security risks.

The big topics

  1. EU Sovereignty - sovereign cloud and what it means for large organizations (from datacenters to chip manufacturing)
  2. Agents in Kubernetes - Open Source as the foundation for AI infrastructure
  3. Platform engineering - It’s all about product thinking. Platforms as marketplaces.
Humans-as-a-platform. Inclusivity is a reliability strategy for human systems. Dev onboarding equals unproductive headcount.

Tools to try out

vind - vCluster in Docker

A new way to bridge local developer and target deployment environments. The highlights: a native load balancer in front of your local cluster, smoother cluster suspend/resume, and the possibility to add external nodes (GPUs in the cloud) to your cluster.

kagent

A lot of innovation around running AI agents in Kubernetes, agent attestation using SPIFFE/SPIRE and the focus on security, kgateway used as MCP gateway to monitor and control access to MCP servers.

opencontrolplane

A unified interface for cloud provider resources; nice idea, especially in connection with the EU Cloud Sovereignty Framework and to bridge capabilities of multiple small providers.

AI is crossing team boundaries but can be used as a communication tool. AI agents as a possible Team Topologies extension.

Some words I have learned

  • ADLC - AI development life cycle (check out the great talk by Max Körbächer linked above)
  • AI Factory - the focus is shifting towards building the infrastructure that will support the AI lifecycle
  • Universal Mesh - A single entry point to all your services across multiple clouds (Istio)
Who is this platform build for? If your platform relies on tribal knowledge to operate, you might want to rethink your model before it fails.

About Platform Engineering

This post talks a lot about platform engineering. There's still a lot to explore about platforms as a marketplace and how to define Day 2 success for IDPs.

When talking about platform engineering, almost everyone highlighted product thinking and product management. We are still defining what kind of marketplaces internal developer platforms are: self-service versus catering versus other types of markets.

One of the most important learning: the Definition of Done is "a capability the user can rely on", not just features that are either difficult to access (poor DevEx) or unreliable (flaky platform). More to come on this topic.

If you build in isolation, you end up delivering for a customer that no longer exists.

My biggest Highlight?

Waking up every morning at 6:20 to join the Platform café and the Platform engineering community (thanks David Stenglein for organising and sponsoring).

Meeting in a small café with 20/30 people, among speakers and community enthusiasts, to start the day with deep dives into the very questions that are still left unanswered (platform shared responsibility model, day 2 success, digital sovereignty, etc.).

CNCF Platform Engineering Community

Also, here's a very cool documentary about Backstage for you!

Backstage: From Spreadsheet to Standard | A CNCF Documentary

Also, here's two totally unrelated poems about peace fighting by June Jordan and Suheir Hammad

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