Based on our record, Helm.sh seems to be a lot more popular than OpenEBS. While we know about 138 links to Helm.sh, we've tracked only 8 mentions of OpenEBS. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Last few months I experimented more and more with all OpenEBS solutions that fit small Kubernetes cluster, using MicroK8S and Hetzner Cloud for a real experience. - Source: dev.to / almost 2 years ago
I would investigate https://openebs.io/ https://portworx.com/ https://longhorn.io/ if you are forced to you can mount ISCSI on the kublet and feed it to one of those solutions. Keep in mind most of the big guys buy some sort of managed solution that you can point a CSI like trident https://netapp-trident.readthedocs.io. Source: almost 2 years ago
What are some cool projects to self hosted on a home Raspberry Pi (64 bit) Kubernetes cluster (Helm charts). Arm64 support is a must. A lot of projects only build amd64 Docker containers which don't run on my cluster. I currently run:- Source: Hacker News / about 2 years ago- obenebs (provides abstraction for using local k8s worker disks as PVC mounts when running on-prem) -- https://openebs.io/.
What do you use to provision Kubernetes persistent volumes on bare metal? I’m looking at open-ebs (https://openebs.io/). Also, when you bump the image tag in a git commit for a given helm chart, how does that get deployed? Is it automatic, or do you manually run helm upgrade commands? - Source: Hacker News / over 2 years ago
Ideas from my kubernetes experience: * Cert-Manager is very popular and almost a must-have if you terminate SSL inside the cluster * Backups using velero * A dashboard/UI is actually very helpful to quickly browse resources, client tools like k9s are fine too * Secret: Management: Bitnami Sealed Secrets is the second big project in that space * I would add Loki to aggregate Logs * Never heard of ory. Usually I see... Source: over 2 years ago
Helm is a Kubernetes package management solution. It allows you to bundle your Kubernetes manifests as reusable units called charts. You can then install charts in your clusters to easily manage versioned releases and ensure that app dependencies are available. - Source: dev.to / 2 days ago
The fire continued to blaze onward. We created SIGs - Special Interest Groups - to gather people weekly or bi-weekly to discuss specific areas of interest. I co-created and co-led SIG-Apps. My interest was figuring out how to make it easy to build, install and manage applications in Kubernetes and the tools we needed on top of Kubernetes. I contributed to Helm and Draft in particular around this time as there was... - Source: dev.to / 7 days ago
Step-1: Install CloudNativePG operator on your running Kubernetes, best way to deploy using Helm. - Source: dev.to / 8 days ago
Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart:... - Source: dev.to / 26 days ago
Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster. - Source: dev.to / 2 months ago
GlusterFS - GlusterFS is a scale-out network-attached storage file system.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Ceph - Ceph is a distributed object store and file system designed to provide excellent performance...
Rancher - Open Source Platform for Running a Private Container Service
REX-Ray - Runtime
Docker Compose - Define and run multi-container applications with Docker