kubectl-datree
awesome-jsonschema
kubectl-datree | awesome-jsonschema | |
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2 | 70 | |
48 | 101 | |
- | 4.0% | |
0.0 | 3.4 | |
over 1 year ago | 4 days ago | |
Shell | Handlebars | |
MIT License | Creative Commons Zero v1.0 Universal |
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kubectl-datree
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Datree, a Tool Which Really Shifts Your Cluster Security Even More Left
$ kubectl krew install datree Updated the local copy of plugin index. Installing plugin: datree Installed plugin: datree \ | Use this plugin: | kubectl datree | Documentation: | https://github.com/datreeio/kubectl-datree | Caveats: | \ | | Before using this plugin, the Datree CLI needs to be installed. | | See https://hub.datree.io/ for quick and easy installation. | / /
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Gatekeeper vs Kyverno
I worked with both of them and from my experience Gatekeeper is more solid and accountable, I even wrote an article about Gatekeeper. Both Gatekeeper and Kyverno require a lot of heavy lifting work. On the one hand, Gatekeeper will probably require more configuration work however the community and the tool itself are more stable than Kyverno. On the other hand, Kyverno policy-as-code capabilities are much easier to use/understand. This way or another, for me using Kyverno’s policy language or Rego for my policies, wasn’t such a pleasant experience. I personally believe in GitOps and shifting left so if you’re looking for tools I would highly recommend you to review Datree, which is an open-source CLI (Disclaimer: I’m one of the developers at Datree). Datree is a more centralized policy management solution rather than a policy engine. Unlike Kyverno/Gatekeeper Datree was built to help DevOps teams to shift left and practice GitOps by delegating more responsibilities to the developers more efficiently. In practice, Datree already comes with built-in rules and policies along with YAML and schema validation for K8s resources and CRDs such as Argo CRDs. Datree’s policies are written in JSONScheme which is a common solid policy language supported by the community for many years. Additionally, Datree’s CLI also comes with a dashboard app where you can monitor the policies in your organization. You can modify and update your policies, review which policies are being used in practice, and control who can create/delete/update your policies. The major difference is that at the moment, unlike Kyverno/Gatekeeper Datree doesn’t provide native policy enforcement in the Kubernetes cluster at the moment but we expect to release this support very soon. At the moment, we provide a way to scan the cluster using a kubectl plugin. Feel free to check it out :)
awesome-jsonschema
- YAML or JSON files that are typed?
- Parse, Don't Validate (2019)
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The Last Breaking Change | JSON Schema Blog
Truth. Zod is comparable to JSON Schema plus AJV, and it doesn't compare well at all. Your Zod code is all locked inside TypeScript so not only can it not be shared to any other language in your stack but it also cannot be serialized, which introduces many limitations. You also miss out on all the JSON Schema ecosystem tooling. (1, 2) For example the intellisense you get in VS Code for config files is powered by JSON Schema and schemastore.
The very first line of text below the header on the json-schema.org homepage is:
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How to use FastAPI for microservices in Python
The framework's official website mentions a number of pros of FastAPI. In my opinion, the most useful features from a microservice perspective are: the simplicity of code (easy to use and avoid boilerplate), high operational capacity thanks to Starlette and Pydantic and compatibility with industry standards - OpenAPI and JSON Schema.
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How to handle forms in a good way?
I've used Felte to reduce form boilerplate. Felte supports several different validation libraries like Zod. I actually used a custom validation function with ajv (which uses JSON schema).
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A Brief Defense of XML
(There is already a JSON Schema definition at https://json-schema.org/)
Like you said - standard XML isn't terrible. Adding on an XSD isn't terrible, because now you can enforce structure and datatypes on files provided by outside parties. Creating an XSLT is much more of a mental challenge, and probably should be left to tools to define.
Anything beyond those technologies is someone polishing up their resume.
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On the seventh day of Enhancing: Forms
While the aws-sdk is being installed to simulate DynamoDB locally, let me explain a few things about this command. First Comment will be the name of the model the scaffold creates. This model will be codified under app/models/schemas/comment.mjs as a JSON Schema object. Each of the parameters after Comment will be split into a property name and type (e.g. property name “subject”, property type “string”). This JSON Schema document will be used to validate the form data both on the client and server sides.
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Server Sent UI Schema Driven UIs
What you are looking is called Json-schema. Have a look at the implementations page, which will give you an idea of what you can do with json-schema, which also includes UI rendering.
- Tool to document Firestore 'schema'
What are some alternatives?
action-datree - Github action that runs the Datree CLI
zod - TypeScript-first schema validation with static type inference
datree - Prevent Kubernetes misconfigurations from reaching production (again 😤 )! From code to cloud, Datree provides an E2E policy enforcement solution to run automatic checks for rule violations. See our docs: https://hub.datree.io
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
helm-datree - A Helm plugin to validate charts against the Datree's CLI tool
JSON-Schema Faker - JSON-Schema + fake data generators
awesome-datree - ⚙️ A curated list of resources for using Datree's CLI tool
fastify-swagger - Swagger documentation generator for Fastify
pydantic - Data validation using Python type hints
Superstruct - A simple and composable way to validate data in JavaScript (and TypeScript).
flasgger - Easy OpenAPI specs and Swagger UI for your Flask API