kafka-ease
microk8s
kafka-ease | microk8s | |
---|---|---|
1 | 66 | |
1 | 8,128 | |
- | 0.8% | |
6.4 | 8.3 | |
8 months ago | 17 days ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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kafka-ease
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Kafka Ease: Simplifying Kafka Topic and ACL Management
GitHub Repository: Kafka Ease on GitHub
microk8s
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You get what you Measure: Understanding your applications health with Grafana, Loki and Prometheus
If you want hands-on practice you should have a running Kubernetes cluster (I used MicroK8s for this tutorial) and Helm (see how to install on Installing Helm tutorial). It is important that you understand the basics of these tools to fully understand.
- MicroK8s – Zero-ops Kubernetes for developers, edge and IoT
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Deploying a Web Service on a Cloud VPS Using Kubernetes MicroK8s: A Comprehensive Guide
And install microk8s:
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Running workloads at the edge with MicroK8s
MicroK8s is a lightweight, batteries included Kubernetes distribution by Canonical designed for running edge workloads which also happens to be developer-friendly and a great choice for building your own homelab. The following lab covers how to install and run MicroK8s on your own edge node running Ubuntu 22.04 LTS, deploy the NGINX web service and exposing your NGINX website to the Internet with SSL/TLS enabled using AWS resources included within the Free Tier.
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Seeking Guidance for Transitioning to Kubernetes and SRE/DevOps for traditional infrastructure team
One quick and easy win I can recommend, is microk8s.
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Canonical Launches MicroCloud to Deploy Your Own "Fully Functional Cloud"
I had the same problem (and there's a github issue about this: https://github.com/canonical/microk8s/issues/2186). I swapped to k3s and the usage was half of what microk8s used.
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Cuber: Deploy your apps on Kubernetes easily
microk8s currently has a showstopping issue that makes it guaranteed to have an irrecoverable failure in HA mode. see https://github.com/canonical/microk8s/issues/3227
k0s is better but also has a lot of bugs. it's the closest to vanilla kubernetes among all the distributions.
> like the simplest GPU support
linux users should be ready to install the nvidia device plugin. if they can't do that, they're never going to succeed in running a gpu accelerated application on their cluster anyway.
> like bootstrapping
in my experience, writing all the bootstrap scripts is painful. but now that there's chatgpt, so much of the drudgery as gone away.
- MicroK8s – Low-ops, minimal Kubernetes, for cloud, clusters, Edge and IoT
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I turn my company’s PC into my own “Vercel-like” platform
MicroK8S to spin up a Kubernetes cluster
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Picked up this HP EliteDesk 800 G2 SFF for 60 EUR! Runs OpenBSD like a charm.
They now power my microk8s/x86 cluster (in addition to my 8-node Raspberry Pi4 ARM64 microk8s cluster), microceph cluster and my LXD cluster, and all are configured with WOL, so I can bring up the cluster from any machine in the homelab, on demand.
What are some alternatives?
netbox_capirca_plugin - A Plugin to manage ACLs and Firewall rules with capirca inside NetBox.
rancher - Complete container management platform
julie - A solution to help you build automation and gitops in your Apache Kafka deployments. The Kafka gitops!
k3s - Lightweight Kubernetes
goose - A robot for mapping github events into actionable HTTP payloads
docker - Moby Project - a collaborative project for the container ecosystem to assemble container-based systems [Moved to: https://github.com/moby/moby]
pycasbin - An authorization library that supports access control models like ACL, RBAC, ABAC in Python
k3d - Little helper to run CNCF's k3s in Docker
kafka-gitops - 🚀Manage Apache Kafka topics and generate ACLs through a desired state file.
k0s - k0s - The Zero Friction Kubernetes
resp - Fetch Academic Research Papers from different sources
microshift - A small form factor OpenShift/Kubernetes optimized for edge computing