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45d0b92d11 docs(day-2): First talks 2025-03-30 11:11:45 +02:00
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---
title: Keynote
weight: 1
tags:
- keynote
- rejekts
---
<!-- {{% button href="https://youtu.be/rkteV6Mzjfs" style="warning" icon="video" %}}Watch talk on YouTube{{% /button %}} -->
Short opening keynote thanking volunteers and attendees.

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title: The Cluster API Migration Retrospective: Live migrating hundreds of clusters to Cluster API
weight: <2
tags:
- rejekts
- cluster
- operatr
---
<!-- {{% button href="https://youtu.be/rkteV6Mzjfs" style="warning" icon="video" %}}Watch talk on YouTube{{% /button %}} -->
The talk started with a base introduction of ClusterAPI and the operations at gigantswarm.
TODO: Diagram
Product naming for the next noted:
- `vintage`: Legacy system
- `CAPI`: The new shit
## Goal
Deployemnt targets: AWS, Azure, vSphere
Live migrations needed für AWS (other providers were not that much in use -> migrate manually)
## Migration
- They set up a new management cluster for CAPI to
- Tooling Options:
- CLI: Enough for a couple of hundred clusters
- Operator: The way to go for thousands of clusters
- Blue/Green:
TODO: Sequence diagram
## Whow it went
- New bugs discovered with every couple of customers
- Some cloud regions just love to fuck things up (looking at you aws china)
- Using upstream sometimes prevents you from implementing random hacks but this is good
- The Mixed vintage+CAPI team split into a new CAPI-team and a new vintage-team -> Setting priorities was way too hard in the mixed team
- Implementing new providers (GCP, Openstack, etc) is way simpler nowadays
- There is a timepline from custom tooling over product to commodity
## Q&A
- Were there any fears from the customers regarding the migration?
- There are some but long term relations to customers help

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title: Title
weight: 3
tags:
- rejekts
---
<!-- {{% button href="https://youtu.be/rkteV6Mzjfs" style="warning" icon="video" %}}Watch talk on YouTube{{% /button %}} -->
A short keynote from micrososft about their contributions to open source and used tools:
- infra (kubernates, istio, hyperlight)
- dev tools (helm, headlamp, radius)
- sec (OPA, Ratify, Copa)
They also highlighted their community involvement and the value of open source for every company.

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---
title: CRD Data Architecture for Multi-Cluster Kubernetes
weight: 4
tags:
- rejekts
---
<!-- {{% button href="https://youtu.be/rkteV6Mzjfs" style="warning" icon="video" %}}Watch talk on YouTube{{% /button %}} -->
## Background
CRDs:
- Platform: Apacke Spark, Argo, Jupyter Notebooks, ...
- Tier: Parts of a platform that include access policies, ressource usages and network controls -> e.g. beta or prod
- ClusterSet: Shards within a tier (aka availability zone)
- Cluster: Part of a Clusterset that can be destroyed/recreated
- ComputeNamespace = Namespace + ServiceAccount + LimitRange + ResourceQuota + RBAC
- Part of a clusterset, all clusters which are part of the set have the same ComputeNamespace
## Goals & Challenges
Scale: 9000 Software Engineers
Challenges:
- Scaling
- Decomposition
Goal: Manage software platforms on kubernetes via kubernetes utilizing opterators
## KEPs by the SIG-MultiCluster
### Cluster Profiles
- Name
- Manager
- Status
- K8S Version
- Conditions (Helath)
- Cluster Access, options
- Work API (another proposal)
- Push via OIDC
- Push with Secret
- Zertificate Auth
### ClusterSet
- Within a ClusterSet namespace sameness applies -> All namespaces are the same in all clusters of a set
- Mutation = Delete and recreate cluster
### Clusternames
- Unique Name
- Valid RFC 1123 DNS label
### Cluster Inventory
- All ClusterProfiles should reside in a dedicated hub clusters
TODO: Diagram
## HA
- They use Kine (by k3s) to shim etcd to postgres
## Referential Integrity
- The CRDs all refer to each other (e.g. Tier --> Platform)
- Solution: CEL Expressions combined with webhooks and operators for business logic validation
## Resource Creation
- They have a simple api that is just a kubeapi wrapper
TODO: Diagram
## Q&A
- Why does everyone build their own multicluster stuff instead of utilizing open soruce
- Threir solution predates SIG-Multicluster
- They are using some open source solutions like karmada
- Could you explain ClusterProvile<->ClusterInventory again: He did, see livestream
- Where does your postgres run (does it run on the same kubernetes it shims)?
- There are no cross-dependencies
- The managment-clusters are lightweight
- Are you running a real kubernetes cluster for the hub?
- Nope we just use the apiserver

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## Talk recommendations
* TODO:
- The Cluster API Migration Retrospective: Live migrating hundreds of clusters to Cluster API
- CRD Data Architecture for Multi-Cluster Kubernetes