awesome-jsonschema
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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 โsubjectโ, property type โstringโ). 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'
k9s
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Upgrading Hundreds of Kubernetes Clusters
Pierre: The first tool I recommend is K9s. It's not just a time-saver but a productivity booster. With its intuitive interface, you can speed up all the usual kubectl commands, access logs, edit resources and configurations, and more. It's like having a personal assistant for your cluster management tasks.
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Easy Access to Terminal Commands in Neovim using FTerm
The last thing you really need is a common set of tools that you want fingertip access to. I really commonly use LazyGit and K9s in my day job so those are the tools I will show off in this article.
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๐ Five tools to make your K8s experience more enjoyable ๐
K9s is your best friend (get it? ๐ถ) when exploring your cluster via the terminal. It shares commonality with Vim for its interaction style using shortcuts and starting commands with: but donโt let that discourage you. K9s keeps a vigilant eye on Kubernetes activities, providing real-time information and intuitive commands for resource interaction.
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Building a Kubernetes Operator with the Operator Framework
k9s: brew install k9s
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Harlequin: SQL IDE for Your Terminal
I would like to put in a vote for k9s, which is also on the list at Terminal Trove. [0] It's the most convenient tool I've ever found for Kubernetes management. Based on that experience I'll definitely be checking out Harlequin.
[0] https://k9scli.io/
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Your First K8S+Istio
$ wget https://github.com/derailed/k9s/releases/download/v0.29.1/k9s_Darwin_amd64.tar.gz $ tar -xzf k9s_Darwin_amd64.tar.gz $ sudo mv k9s /usr/local/bin/
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Seeking Guidance for Transitioning to Kubernetes and SRE/DevOps for traditional infrastructure team
All in all, run things, do some kubectl apply -f something.yml every day, install k9s, and try to configure a big one cluster at some point.
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Architecting for Resilience: Crafting Opinionated EKS Clusters with Karpenter & Cilium Cluster Mesh โ Part 1
(K9s is one of my favorite tools for navigating Kubernetes clusters through the CLI).
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Top 10 CLI Tools for DevOps Teams
K9s is an open-source, terminal-based UI for interacting with your Kubernetes clusters, making navigating, observing, and managing your apps easier. If you use Kubectl but wish it was easier and faster to use, K9s might be just what you're looking for!
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Use Tetragon to Limit Network Usage for a set of Binary
k9s
What are some alternatives?
zod - TypeScript-first schema validation with static type inference
lens - Lens - The way the world runs Kubernetes
ajv - The fastest JSON schema Validator. Supports JSON Schema draft-04/06/07/2019-09/2020-12 and JSON Type Definition (RFC8927)
k8s - How to deploy Portainer inside a Kubernetes environment.
JSON-Schema Faker - JSON-Schema + fake data generators
minikube - Run Kubernetes locally
fastify-swagger - Swagger documentation generator for Fastify
popeye - ๐ A Kubernetes cluster resource sanitizer
pydantic - Data validation using Python type hints
k3s - Lightweight Kubernetes
Superstruct - A simple and composable way to validate data in JavaScript (and TypeScript).
stern - โ Multi pod and container log tailing for Kubernetes