vcluster
ozzo-validation
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vcluster | ozzo-validation | |
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70 | 13 | |
5,577 | 3,566 | |
12.0% | 1.7% | |
9.7 | 0.0 | |
6 days ago | about 1 month ago | |
Go | Go | |
Apache License 2.0 | MIT License |
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.
vcluster
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Amazon EC2 Enhances Defense in Depth with Default IMDSv2
Kubernetes? You mean the container orchestration system where they forgot to add Multi-tenancy? And no namespaces are not Multi-tenancy...
https://www.vcluster.com/
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Mirantis Unveils K0smotron: An Open-Source Kubernetes Management Project
Whats the difference between this and vcluster (https://github.com/loft-sh/vcluster)?
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Codespaces but open-source, client-only, and unopinionated
Yep, as we see it they compliment each other quite well. DevPod takes your workspace to the cloud and DevSpace let's you develop against your Kubernetes cluster - potentially the same one you used to start your workspace.
Internally we use both in our development setup, spinning up remote workspaces using DevPod, installing DevSpace and kind into the devcontainer, then using DevSpace to develop against the cluster. See the vcluster setup[1] as an example
[1]https://github.com/loft-sh/vcluster/tree/main/.devcontainer
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Anyone using Kata Containers?
The tenants are internal dev teams so yeah maybe not. I was considering multi-tenanting different environments isolated at the kube layer with vCluster and have the vCluster pods running in Kata containers giving maximum isolation but still having a single management cluster. Ideally also avoiding the need to buy a second set of hardware for a dev environment
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Multi-tenancy in Kubernetes
Vcluster
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Kub'rin' a breeze: Developing on ephemeral cloud-based K8s clusters
Looks interesting. How does this solution compare to vcluster?
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Same cluster for different development environments
sounds like the best option for you , is a tool called VCluster by loft ( https://www.vcluster.com/) , this way you can install as many k8s cluster as you want in the same k8s host cluster , those cluster share workers nodes and networking, but each has a separated "api server" , so it looks like you have a dedicated cluster with their own namespaces and tools . take a look at the docs to get a better understanding and how they work.
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Is it a good idea to use k8s namespace-based multitenancy for delivering managed service of an application?
We're about to run a PoC with vcluster for isolated sandboxes, this might be relevant to you too
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Questions for Heroku-like Project
I think namespaces, RBAC and network policies are sufficient to partition users from the same organisation. I would investigate the use of vcluster ig you want to give your users even more isolation and capability (such as installing CRDs)
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Multiple Tenancy, Namespaces, Securing Workloads
Depends on the use case. Namespaces provides soft isolation (so it means they share same Apiserver, PV's and global resources such as CRD's), but can be restricted with network policies. So it means, there's still potential in breaking other namespaces if you change PV's or CRD's which are used by other namespaces. Multi-Cluster solution can provide full isolation, but its also really expensive in resource consumption and maintenance/management effort. If namespaced-isolation isnt enough for your use case, you can consider vclusters (https://www.vcluster.com/)
ozzo-validation
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Is there any equivalent to pydantic, serde, etc?
go-ozzo/ozzo-validation
- Request Validations in Go REST API
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Suggestion for a dynamic Struct Validation Rules
https://github.com/go-ozzo/ozzo-validation Seems to do what I need but likely will need some convoluted reflection to build out the rules. Also likely some custom rules to be written which is okay since it's a one time cost and reuse in the expressions.
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Proper validation package suggestion
Personally I use ozzo validation: https://github.com/go-ozzo/ozzo-validation
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Valgo is a type-safe, expressive, and extensible validator library for Golang.
This looks useful, but what differentiates it from something like https://github.com/go-ozzo/ozzo-validation ? Why would I use Valgo over something battle tested that follows a very similar pattern?
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Why use go over node?
This is where it gets spicy: I just don't get at all who ever though this struct-tag based validation library was a good idea https://github.com/go-playground/validator - and yet it's the most mainstream one. Try to implement your own type, you're up to register some global validation tag and repeat it every time you're using that type. I'm grateful https://github.com/go-ozzo/ozzo-validation exists, that's what I use. But it's still way behind the other things I mention, where in general, it's simply not possible to pass around an invalid struct - because it can't be built if it's invalid in the first place.
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Gin vs Echo framework
Gin comes with built-in "validation", while Echo recommends the same validator. I am also not a fan of magic struct tags, so I would probably prefer either writing my own or using something like ozzo.
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What type of software do you write at your workplace?
Other packages of note: https://github.com/uber-go/zap https://github.com/go-ozzo/ozzo-validation
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is there any package to generate validation code for struct instead of using reflect (tags)?
Does https://github.com/go-ozzo/ozzo-validation meet your requirements?
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How do you validate your structures?
https://github.com/go-ozzo/ozzo-validation/blob/v3.6.0/struct.go#L61
What are some alternatives?
capsule - Multi-tenancy and policy-based framework for Kubernetes.
validator - :100:Go Struct and Field validation, including Cross Field, Cross Struct, Map, Slice and Array diving
kind - Kubernetes IN Docker - local clusters for testing Kubernetes
Password validator library for Go - Flexible and customizable password validation
kiosk - kiosk 🏢 Multi-Tenancy Extension For Kubernetes - Secure Cluster Sharing & Self-Service Namespace Provisioning
govalidator - [Go] Package of validators and sanitizers for strings, numerics, slices and structs
cluster-api-provider-nested - Cluster API Provider for Nested Clusters
Validate - ⚔ Go package for data validation and filtering. support Map, Struct, Form data. Go通用的数据验证与过滤库,使用简单,内置大部分常用验证、过滤器,支持自定义验证器、自定义消息、字段翻译。
hierarchical-namespaces - Home of the Hierarchical Namespace Controller (HNC). Adds hierarchical policies and delegated creation to Kubernetes namespaces for improved in-cluster multitenancy.
protoc-gen-validate - Protocol Buffer Validation - Being replaced by github.com/bufbuild/protovalidate
k3s - Lightweight Kubernetes
postcode - Small Golang package for validating postal codes