constellation
vscode-kcl
constellation | vscode-kcl | |
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31 | 2 | |
870 | 5 | |
1.6% | - | |
9.9 | 6.3 | |
3 days ago | 6 days ago | |
Go | TypeScript | |
GNU Affero General Public License v3.0 | - |
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.
constellation
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Using "Confidential Computing" with Hetzner? (Intel SGX/TDX, AMD SEV/SNP)
A lot happening in Europe, Enclaive provides encrypting containers (GitHub), Edgeless Systems provides a whole encrypted k8s with constellation (GitHub), then there are other players like scontain and secustack.
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Mögliche Lösungen zu selbstzerstörenden Umgebungen mit einem Trigger
Aber schau dir bspw mal https://github.com/edgelesssys/constellation an.
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Where are you hosting your Managed Kubernetes and why?
Would smth. like https://github.com/edgelesssys/constellation be helpful for those cases?
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Why is K8 an issue when compliances become important for enterprises (HIPAA)
Hey u/Aztreix, we've recently released an open-source Kubernetes distribution that keeps all data always encrypted and isolates your workloads from cloud infrastructure. This solves many compliance requirements, at least for European companies. Feel free to check it out: https://github.com/edgelesssys/constellation.
- What Is Confidential Kubernetes?
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Germany Forces a Microsoft 365 Ban Due to Privacy Concerns
Maybe they should deploy it via Constellation https://github.com/edgelesssys/constellation
- Constellation: Confidential Kubernetes
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Setting up a "confidential" GitLab🦊🔒
Easy! I recently posted about our open-source project Constellation. Constellation is the first confidential Kubernetes distribution. Think Rancher Kubernetes Engine (RKE) or RedHat OpenShift for confidential computing.
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What about Zero Trust Infrastructure?
Therefore, having such verifiable infrastructure seems paramount for a zero trust architecture. Constellation (https://github.com/edgelesssys/constellation) for example leverages Confidential Computing hardware to provide a fully-verifiable Kubernetes cluster. (Disclaimer: I work on that project)
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What's your take on Zero Trust for Kubernetes?
Constellation does this as well btw: https://github.com/edgelesssys/constellation Disclaimer, I work on the project.
vscode-kcl
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Hello redit from KCLVM
Development friendly: Friendly development experiences with rich language tools (Format, Lint, Test, Vet, Doc, etc.) and IDE plugins.
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Monthly 'Shameless Self Promotion' thread - 2022/10
## https://github.com/KusionStack/KCLVM Kusion Configuration Language (KCL) is an open source constraint-based record and functional language. KCL improves the writing of a large number of complex configurations through mature programming language technology and practice, and is committed to building better modularity, scalability and stability around configuration, simpler logic writing, fast automation and good ecological extensionality. ## Features + **Easy-to-use**: Originated from high-level languages such as Python and Golang, incorporating functional language features with low side effects. + **Well-designed**: Independent Spec-driven syntax, semantics, runtime and system modules design. + **Quick modeling**: [Schema](https://kusionstack.io/docs/reference/lang/lang/tour#schema)-centric configuration types and modular abstraction. + **Rich capabilities**: Configuration with type, logic and policy based on [Config](https://kusionstack.io/docs/reference/lang/lang/codelab/simple), [Schema](https://kusionstack.io/docs/reference/lang/lang/tour/#schema), [Lambda](https://kusionstack.io/docs/reference/lang/lang/tour/#function), [Rule](https://kusionstack.io/docs/reference/lang/lang/tour/#rule). + **Stability**: Configuration stability built on [static type system](https://kusionstack.io/docs/reference/lang/lang/tour/#type-system), [constraints](https://kusionstack.io/docs/reference/lang/lang/tour/#validation), and [rules](https://kusionstack.io/docs/reference/lang/lang/tour#rule). + **Scalability**: High scalability through [automatic merge mechanism](https://kusionstack.io/docs/reference/lang/lang/tour/#-operators-1) of isolated config blocks. + **Fast automation**: Gradient automation scheme of [CRUD APIs](https://kusionstack.io/docs/reference/lang/lang/tour/#kcl-cli-variable-override), [multilingual SDKs](https://kusionstack.io/docs/reference/lang/xlang-api/overview), [language plugin](https://github.com/KusionStack/kcl-plugin) + **High performance**: High compile time and runtime performance using Rust & C and [LLVM](https://llvm.org/), and support compilation to native code and [WASM](https://webassembly.org/). + **API affinity**: Native support API ecological specifications such as [OpenAPI](https://github.com/KusionStack/kcl-openapi), Kubernetes CRD, Kubernetes YAML spec. + **Development friendly**: Friendly development experiences with rich [language tools](https://kusionstack.io/docs/reference/cli/kcl/) (Format, Lint, Test, Vet, Doc, etc.) and [IDE plugins](https://github.com/KusionStack/vscode-kcl). + **Safety & maintainable**: Domain-oriented, no system-level functions such as native threads and IO, low noise and security risk, easy maintenance and governance. + **Production-ready**: Widely used in production practice of platform engineering and automation at Ant Group. ## What is it for? You can use KCL to + Generate low-level static configuration data like JSON, YAML, etc. + Reduce boilerplate in configuration data with the schema modeling. + Define schemas with rule constraints for configuration data and validate them automatically. + Organize, simplify, unify and manage large configurations without side effects. + Manage large configurations scalably with isolated configuration blocks. + Used as a platform engineering lang to deliver modern app with [Kusion Stack](https://kusionstack.io). ## How to choose? The simple answer: + YAML is recommended if you need to write structured static K-V, or use Kubernetes' native tools + HCL is recommended if you want to use programming language convenience to remove boilerplate with good human readability, or if you are already a Terraform user + CUE is recommended if you want to use type system to improve stability and maintain scalable configurations + KCL is recommended if you want types and modeling like a modern language, scalable configurations, in-house pure functions and rules, and production-ready performance and automation Welcome to out community: Search `KusionStack` on Slack
What are some alternatives?
pocketbase - Open Source realtime backend in 1 file
kcl - KCL Programming Language (CNCF Sandbox Project). https://kcl-lang.io
SparrowCI - SparrowCI - super fun and flexible CI system with many programming languages support
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.
Cromtit - Run Tomtit scenarios as cron jobs and more.
node_crunch - Allows to distribute computations across several nodes
kcl-openapi - KCL OpenAPI Integration
community - KusionStack community material
Hugo - The world’s fastest framework for building websites.
kcl-plugin - KCL Plugins