graphjin
kubernetes-the-hard-way
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graphjin | kubernetes-the-hard-way | |
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61 | 126 | |
2,838 | 38,683 | |
- | - | |
5.9 | 0.0 | |
7 days ago | 13 days ago | |
Go | ||
Apache License 2.0 | Apache License 2.0 |
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.
graphjin
- [Golang] Super Graph GraphQL au compilateur SQL renommé GraphJin et prend maintenant en charge MySQL
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Does Go, has something similar to Laravel eloquent (ORM) ?
This one looks interesting if you like GraphQL… https://graphjin.com
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Looking for library recommendations: Django -> Golang port
You're right. Django made a ton of tables, and it's pretty insightful to think about all the stuff it's trying to consider and a nightmare to migrate that framework. Django might have simplified some stuff, but it's still too opaque for my taste and the overall end goals of the project. Currently, I'm testing using graphjin (it doesn't have the best documentation, but it does boast an SQL generation capability that I philosophically think is the best way to do things).
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Advice on ORMs with REST/GraphQL & Hasura/PostGraphile implementation
Checkout GraphJin it's an automatic GraphQL to SQL compiler, you write your database queries in GraphQL instead of SQL and it compiles them into efficient SQL on the fly. Works as a library in GO and NodeJS. https://github.com/dosco/graphjin
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Ask HN: How do you test SQL?
In GraphJin an automatic GraphQL to SQL compiler we use the gnomock library it startups a database instance (docker) then create the schema and tests data and finally our code connects to it and runs a series of tests. We run these across Mysql, Postgres and a few other DB's. Gnomock supports a wide range of them. Right now we don't take down the db for every test only between test runs but its fast enough that we could. This whole thing runs of a simple `go test -v .` command and we run it on every commit using a githook. https://github.com/dosco/graphjin/blob/master/tests/dbint_te...
- Should I use GraphQL for a public facing API (in place of a REST API)?
- GraphJin 2.0 - A new kind of ORM for GO
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Multiple subscriptions fom apollo aclient.
This was a bug in GraphJin it has since been fixed. The issue was that you were trying to have multiple subscriptions over a single websocket this did not work (it should) and now it does. https://github.com/dosco/graphjin/commit/43e619b2ff392dd42b99a4d56074a041a54b0e1c
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Is graphql-request a good tool for only client side api? Share your feedbacks. Thanks 🙏
Not exactly GraphQL is just a format to define what data you want back from someplace. You can use it in a browser app to request data from a backend GraphQL server or you can use it as an ORM within your backend app to fetch data from a database using a library like GraphJin. https://github.com/dosco/graphjin
- Graphjin.js - An easy-to-use, zero dependency Node.js library to build APIs quickly
kubernetes-the-hard-way
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Continuous Learning in Kubernetes: My Voyage of Discovery
As I delved into the world of Kubernetes, I opted for what seemed like the scenic route—until reality hit. With determination and a sprinkle of naivety, I plunged into crafting a Kubernetes cluster from scratch. Little did I know, I was in for a wild ride of commands, configurations, and complexities. But fear not! With the guiding light of a course based on the notorious "Kubernetes The Hard Way" GitHub repository, albeit customized for AWS instead of Google Cloud, I embarked on my journey to build my digital fortress, one step at a time.
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Upgrading Hundreds of Kubernetes Clusters
Another resource that I found pretty helpful was "Kubernetes the Hard Way" by Kelsey Hightower despite its complexity.
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The Hater's Guide to Kubernetes
https://github.com/kelseyhightower/kubernetes-the-hard-way
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Kubernetes the Harder Way, on a local Mac or Linux
I recently published Kubernetes the Harder Way, a guide loosely based on Kelsey Hightower's Kubernetes the Hard Way, but lenghtier, more explanatory, broader in scope, and - most importantly - harder, by targeting a local machine instead of Google Cloud Platform.
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Ask HN: Is there a low cost way to learn real K8s, after exhausting minikube?
How about this? It will setup a kubernetes cluster on GCP with 3 worker nodes?
https://github.com/kelseyhightower/kubernetes-the-hard-way
Some costs here but click on the google cloud calc as it seems to have gone up since he wrote this:
- Has anyone ever tried to learn how k8s works?
- Anyone has experience with windows k8 ?
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Ask HN: How to Learn Kubernetes
If you wanna go all in: https://github.com/kelseyhightower/kubernetes-the-hard-way
Oh, and both: "Kubernetes up and Running" and "Production Kubernetes" are great books.
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Someone got some links of K8s hands-on lab for beginner to intermediate ?
Using Kubernetes The Hard Way is a great way to learn it deeply and quickly.
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Fastest way to set up an k8s environment ?
If you wanna learn it deeply and quickly, Kelsey Hightower's Kubernetes the hard way is fantastic!
What are some alternatives?
Hasura - Blazing fast, instant realtime GraphQL APIs on your DB with fine grained access control, also trigger webhooks on database events.
kubeadm - Aggregator for issues filed against kubeadm
graphql-go - GraphQL server with a focus on ease of use
k3d - Little helper to run CNCF's k3s in Docker
gqlgen - go generate based graphql server library
kubespray - Deploy a Production Ready Kubernetes Cluster
asciinema - Platform for hosting and sharing terminal session recordings
testssl.sh - Testing TLS/SSL encryption anywhere on any port
graphql-benchmarks - GraphQL benchmarks using the-benchmarker framework.
awesome-home-kubernetes - ⚠️ Deprecated: Awesome projects involving running Kubernetes at home
node-pg-migrate - Node.js database migration management for Postgresql
metallb - A network load-balancer implementation for Kubernetes using standard routing protocols