cdk8s
rook
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cdk8s | rook | |
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48 | 51 | |
4,115 | 11,905 | |
2.3% | 1.2% | |
9.7 | 9.9 | |
6 days ago | 4 days ago | |
JavaScript | Go | |
Apache License 2.0 | Apache License 2.0 |
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cdk8s
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K8s Service Meshes: The Bill Comes Due
Any, it doesn’t matter which as long as you don’t have to count spaces in yaml by hand.
If you really want a concrete recommendation try https://cdk8s.io/.
- Why the fuck are we templating YAML? (2019)
- Cdk8s: Kubernetes native apps and abstractions using object-oriented programming
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10 Ways for Kubernetes Declarative Configuration Management
CDK8s - CDK8s is used to define Kubernetes resources and applications. CDK8s uses the high-level abstraction concept called constructs to represent various Kubernetes resources such as deployments, services, and configurations. Developers can write code in programming languages like TypeScript, Python, and Java, and CDK8s will translate this code into standard Kubernetes YAML manifests that can be directly applied to a Kubernetes cluster.
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I built a React renderer for Kubernetes configurations
Have you looked into https://cdk8s.io/? I've been using it for a while now, and I must admit TypeSript does help a lot. Not really sold on your React syntax yet, but well done nevertheless
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How are most EKS clusters deployed?
I, personally, prefer to wrap it in CDKTF/CDK8S in golang and manage with Crossplane Composition Functions, but your mileage may vary. I'm finding way too bugs in CDK's... but it calms me a bit, that Amazon folks actually looking into it.
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Editing Badly formatted yaml file
Have you looked into cdk8s? That will let you get away from dealing with yaml and let you use code instead. Helm included.
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kpt, cue, ... Your experiences?
My favorite is cdk8s + typescript.
- Cloud Development Kit for Kubernetes
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Dump Kustomize with 20 lines of TypeScript
What about https://cdk8s.io/?
rook
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Ceph: A Journey to 1 TiB/s
I have some experience with Ceph, both for work, and with homelab-y stuff.
First, bear in mind that Ceph is a distributed storage system - so the idea is that you will have multiple nodes.
For learning, you can definitely virtualise it all on a single box - but you'll have a better time with discrete physical machines.
Also, Ceph does prefer physical access to disks (similar to ZFS).
And you do need decent networking connectivity - I think that's the main thing people think of, when they think of high hardware requirements for Ceph. Ideally 10Gbe at the minimum - although more if you want higher performance - there can be a lot of network traffic, particularly with things like backfill. (25Gbps if you can find that gear cheap for homelab - 50Gbps is a technological dead-end. 100Gbps works well).
But honestly, for a homelab, a cheap mini PC or NUC with 10Gbe will work fine, and you should get acceptable performance, and it'll be good for learning.
You can install Ceph directly on bare-metal, or if you want to do the homelab k8s route, you can use Rook (https://rook.io/).
Hope this helps, and good luck! Let me know if you have any other questions.
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Running stateful workloads on Kubernetes with Rook Ceph
Another option is to leverage a Kubernetes-native distributed storage solution such as Rook Ceph as the storage backend for stateful components running on Kubernetes. This has the benefit of simplifying application configuration while addressing business requirements for data backup and recovery such as the ability to take volume snapshots at a regular interval and perform application-level data recovery in case of a disaster.
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People who run Nextcloud in Docker: Where do you store your data/files? In a Docker volume, or on a remote server/NAS?
This is beyond your question but might help someone else: I switch from docker-compose to kubernetes for my home lab a while ago. The storage solution I've settled on is Rook. It was a bit of up-front work learning how to get it up but now that it's done my storage is automatically managed by Ceph. I can swap out drives and Ceph basically takes care of everything itself.
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Rook/Ceph with VM nodes on research cluster?
The stumbling point I am at is I want to use rook.io(Ceph) as my storage solution for the cluster. The Ceph prerequisites are one of the following:
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Asking for recommendation on remote Kubernetes storage for a small cluster and databases
Have you looked at Rook?
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Want advice on planned evolution: k3os/Longhorn --> Talos/Ceph, plus Consul and Vault
I've briefly run ceph in an external mode, you can actually use a rook deployment to manage it (sort of). Here is the documentation for doing that. For me it didn't pass my testing phase because I need better networking equipment before I can try that.
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ATARI is still alive: Atari Partition of Fear
This article explains the data corruption issue happened in Rook in 2021. The root cause lies in an unexpected place and can also occurs in all Ceph environment. It's interesting that Rook had started to encounter this problem recently even though this problem has existed for a long time. It's due to a series of coincidences. I wrote this article because the word "Atari" used in a non-historical context in 2021.
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How to Deploy and Scale Strapi on a Kubernetes Cluster 2/2
Rook (this is a nice article for Rook NFS)
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Running on-premise k8s with a small team: possible or potential nightmare?
Storage: Favor any distributed storage you know to start with for Persistent Volumes: Ceph maybe via rook.io, Longhorn if you go rancher etc
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My completely automated Homelab featuring Kubernetes
I've dealt with a lot of issues that are very close to just unplugging a node. Unfortunately on node lost, my stateful workloads using rook-ceph block storage won't migrate over to another node automatically due to an issue with rook. Stateless apps (ingress nginx, etc..) not using rook-ceph block failover to another node just fine. I've kind of accepted this for now and I know Longhorn has a feature that makes this work but I find rook-ceph to be more stable for my workloads.
What are some alternatives?
helmfile - Deploy Kubernetes Helm Charts
longhorn - Cloud-Native distributed storage built on and for Kubernetes
Pulumi - Pulumi - Infrastructure as Code in any programming language. Build infrastructure intuitively on any cloud using familiar languages 🚀
ceph-csi - CSI driver for Ceph
terraform-cdk - Define infrastructure resources using programming constructs and provision them using HashiCorp Terraform
velero - Backup and migrate Kubernetes applications and their persistent volumes
aws-cdk - The AWS Cloud Development Kit is a framework for defining cloud infrastructure in code
Nginx Proxy Manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface
jsonnet - Jsonnet - The data templating language
Ceph - Ceph is a distributed object, block, and file storage platform
kubernetes-the-hard-way - Bootstrap Kubernetes the hard way. No scripts.
hub-feedback - Feedback and bug reports for the Docker Hub