KCL, a constraint-based functional language for configuration
KCL is an open-source programming language for configuration and policy management, featuring a static type system, strong immutability, high scalability, and native integration with OpenAPI and Kubernetes CRD.
Read original articleKCL is an open-source programming language designed for configuration and policy management, emphasizing constraint-based records and functional programming. It draws inspiration from languages like Python and Golang, offering rich features and powerful integrated development environments (IDEs). KCL supports schema-centric configuration types and modular abstractions, enabling users to define configurations, models, functions, and rules effectively. The language ensures stability through a static type system and strong immutability, while its scalability is enhanced by an automatic merging mechanism for isolated configuration blocks. KCL also facilitates high-performance automation with CRUD APIs and multilingual SDKs, making it suitable for modern cloud-native applications. It natively supports API specifications such as OpenAPI and Kubernetes CRD, allowing for seamless integration into existing projects. The language includes features like lambda functions and rules to enforce environmental consistency, ensuring that configurations adhere to defined constraints. KCL is positioned as a production-ready tool for developers looking to manage complex configurations and policies efficiently.
- KCL is an open-source programming language focused on configuration and policy management.
- It features a static type system and strong immutability for stability.
- The language supports high scalability and automation through various tools and SDKs.
- KCL integrates natively with popular API specifications like OpenAPI and Kubernetes CRD.
- It includes functionalities such as lambda expressions and rules for maintaining configuration consistency.
Related
Talos: Secure, immutable, and minimal Linux OS for running Kubernetes
Talos Linux is a secure, minimalistic Linux distribution for Kubernetes, managed via API. It emphasizes security, immutability, and aligns with NIST and CIS guidelines. It offers quick deployment and supports large clusters.
A type system for RCL, part 2: The type system
Ruud van Asseldonk introduces RCL, a JSON extension with a strong type system. RCL enforces type safety, supports static and gradual typing, and addresses challenges like covariance to balance usability and error reporting.
A skeptic's first contact with Kubernetes
The author discusses their skepticism about Kubernetes, highlighting its complexity and workload management features. They acknowledge its strengths but express concerns about operational stability and configuration challenges.
A skeptic's first contact with Kubernetes
The author shares their journey from skepticism to understanding Kubernetes, highlighting its workload management, key components, and challenges like complexity, scaling, and configuration, while recognizing its architectural value.
Introduction to Kubernetes (k8) – a quick lookback
Kubernetes has grown significantly since 2018, increasing to 109,000 stars and 3,674 contributors by 2024. It offers features like scaling, automated rollouts, and self-healing, encouraging hands-on learning for newcomers.
This part scares me a bit. How does it merge? In cuelang, everything has to agree otherwise it's an error. If KCL has a situation where one file can override another, I'm out. That gets way too hairy way too fast.
Edit:
data0 = {id: 1} | {id: 2} # Error:conflicting values between {'id': 2} and {'id': 1}
data1 = {id: 1} | {id = 2} # Ok, the value of `data` is {"id": 2}
There are the foot gunsAlthough it looks like it is a better replacement for HCL (Terraform), I'm thinking this may end up working better than Helm.
https://www.kcl-lang.io/docs/user_docs/getting-started/intro...
Related
Talos: Secure, immutable, and minimal Linux OS for running Kubernetes
Talos Linux is a secure, minimalistic Linux distribution for Kubernetes, managed via API. It emphasizes security, immutability, and aligns with NIST and CIS guidelines. It offers quick deployment and supports large clusters.
A type system for RCL, part 2: The type system
Ruud van Asseldonk introduces RCL, a JSON extension with a strong type system. RCL enforces type safety, supports static and gradual typing, and addresses challenges like covariance to balance usability and error reporting.
A skeptic's first contact with Kubernetes
The author discusses their skepticism about Kubernetes, highlighting its complexity and workload management features. They acknowledge its strengths but express concerns about operational stability and configuration challenges.
A skeptic's first contact with Kubernetes
The author shares their journey from skepticism to understanding Kubernetes, highlighting its workload management, key components, and challenges like complexity, scaling, and configuration, while recognizing its architectural value.
Introduction to Kubernetes (k8) – a quick lookback
Kubernetes has grown significantly since 2018, increasing to 109,000 stars and 3,674 contributors by 2024. It offers features like scaling, automated rollouts, and self-healing, encouraging hands-on learning for newcomers.