helm-charts
cnab-spec
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| helm-charts | cnab-spec | |
|---|---|---|
| 2 | 8 | |
| 67 | 939 | |
| - | 1.0% | |
| 9.7 | 0.0 | |
| 7 days ago | over 1 year ago | |
| Python | Shell | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
helm-charts
- k8s based platform
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Troubleshooting Kubernetes Clusters as a Developer with Komodor
Komodor is offered as a hybrid application. The web UI runs in the cloud and is managed by the Komodor team. You need to install in your cluster the komodor agent as a Helm chart that then pushes information with the cloud UI. This means that communication for your cluster is outgoing only. There is no need to open any ports in your firewall or modify your allowlist with specific port ranges.
cnab-spec
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No docker options
CNAB
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Kubernetes Application Archive !! Bundle up a Kubernetes application 📦 into a single static OCI compliant archive.
Similar to https://cnab.io/ then?
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Stronger abstraction for deployments
IMO Cloud native application bundle is what you are looking for: https://cnab.io/
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Deployment Packaging Solutions
have you looked at CNAB ? since it uses standard OCI compliance you can have your entire application bundle on Azure registry (azure registry is OCI 2 compliant registry) and you can get more information about how to do it using ORAS cli
- Tools to Run Kubernetes Locally
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k8s based platform
Check https://cnab.io/ and https://porter.sh/
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Terraform 1.0 Release
I'm closely tracking an effort by Microsoft that aims to do a lot of what you're describing since I find myself bridging between these tools and deploying stacks that span tools and roles. [CNAB](https://cnab.io/) and the front-running implementation, [Porter](https://porter.sh/), enable one-step infra deployments, packaged as a single OCI-compatible container, with any number of steps, using the best tools for each of those steps. Think of using aws-cli for some initialization step (create or verify presence of a state bucket), applying some terraform to create infra, and finishing with a helm chart to complete deployment of app components. Each stage in a bundle packages not only the code to run it but also the execution binary of the tool that runs it. The spec and porter are still a moving target but it's a promising space and a nice adjacent evolution of the current state of tooling.
- Cloud Native Application Bundles Security (CNAB-SEC) 1.0.0 GA 2020
What are some alternatives?
porter - Porter enables you to package your application artifact, client tools, configuration and deployment logic together as an installer that you can distribute, and install with a single command.
kapp-controller - Continuous delivery and package management for Kubernetes.
capsule - Multi-tenancy and policy-based framework for Kubernetes.
kubevela - The Modern Application Platform.
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
gitops-app-source-code - Example application for GitOps deployment
terraform - Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
kubeplus - Kubernetes Operator to create Multi-Instance Multi-tenancy (SaaS) from Helm charts
kpt - Automate Kubernetes Configuration Editing
gitops-pipelines - Example for GitOps pipelines
kcp - Kubernetes-like control planes for form-factors and use-cases beyond Kubernetes and container workloads.