claudie
OpenShift-Guide
| claudie | OpenShift-Guide | |
|---|---|---|
| 5 | 11 | |
| 481 | 138 | |
| 6.0% | - | |
| 9.0 | 4.4 | |
| 8 days ago | 4 months ago | |
| Go | Python | |
| Apache License 2.0 | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
claudie
- Multi-region multi-cloud cluster. Best practices?
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Simplifying Kubernetes Cluster Management with Claudie and Sveltos
Claudie simplifies the process of programmatically establishing Kubernetes clusters across multiple cloud vendors and on-premises datacenters. It provides a centralized management interface for provisioning and managing clusters, eliminating the need for manual configuration and maintenance. Claudie's capabilities include:
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Best cross cloud managed Kubernetes that also supports bare metal?
I'm one of the authors of https://github.com/berops/claudie
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Claudie is a managed Kubernetes for Hetzner, now coming with Cluster Autoscaler
There's also Hetzner bootstrapping information specifically here: https://github.com/berops/claudie/blob/master/docs/input-manifest/providers/hetzner.md
OpenShift-Guide
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Running databases and data analytics with Red Hat OpenShift
Tools and Resources for Red Hat OpenShift to run databases and data analytics in a consistent way across clouds to accelerate delivery of cloud-native applications.
- Creating clusters on Microsoft Azure
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Managing virtual machine workloads on OpenShift
Useful Tools for running and managing virtual machine workloads alongside container workloads on OpenShift.
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Developing with Quarkus on Red Hat OpenShift
Useful Tools and Resources for developing with Quarkus on OpenShift.
- Setting up Development Environments with OpenShift
- Using Jupyter Labs on OpenShift Data Science
- Using Jupyter Labs on OpenShift for Data Science
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Developing with OpenShift
Useful tools and resources for managing your workflow with OpenShift. Such as setting up Red Hat CodeReady Containers (CRC) OpenShift, Podman, Buildah, Skopeo, and File systems for storage.
- Developing Network Security Zones with OpenShift
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Tools and Resources for OpenShift
A useful set of Tools and Learning Resources for OpenShift.
What are some alternatives?
rainbond - No need to know Kubernetes' cloud native application management platform | 不用懂 Kubernetes 的云原生应用管理平台
Openshift Origin - Conformance test suite for OpenShift
kubevela - The Modern Application Platform. [Moved to: https://github.com/kubevela/kubevela]
gvisor - Application Kernel for Containers
OpenStack-Guide - OpenStack Guide
powerfulseal - A powerful testing tool for Kubernetes clusters.
k3sup - bootstrap K3s over SSH in < 60s 🚀
kcli - Management tool for libvirt/aws/gcp/kubevirt/openstack/ovirt/vsphere/packet
kubefirst - The Kubefirst Open Source Platform
chaostoolkit - Chaos Engineering Toolkit & Orchestration for Developers
elcarro-oracle-operator - El Carro is a new project that offers a way to run Oracle databases in Kubernetes as a portable, open source, community driven, no vendor lock-in container orchestration system. El Carro provides a powerful declarative API for comprehensive and consistent configuration and deployment as well as for real-time operations and monitoring.