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If you understand all that and just want to get started as quickly as possible, use a project generator such as cookiecutter-django or API Bakery. Note that I'd avoid using these until you have a solid grasp of Django otherwise you'll have no idea what's going on. Source: over 2 years ago
My project generator does basically exactly this - determine how your data looks, set up a project and build out CRUD, then you can go do fun stuff. Source: over 2 years ago
> relocating them will actually break things Yes, absolute paths are hardcoded in several places. I actually have a use case for copying/relocating them (for https://apibakery.com), and simple search/replace of paths across the entire venv works, but I wouldn't recommend that as a best practice approach :-). - Source: Hacker News / over 2 years ago
Use a project generator like https://apibakery.com (disclosure, I'm the author). Source: over 2 years ago
Not op, but I have a similar project which does handle auth and a few other extra goodies like bg workers and dev shell: https://apibakery.com It uses a bearer token instead of JWT tho, for reasons outlined here: https://apibakery.com/blog/tech/no-jwt/ (HN discussion here: https://news.ycombinator.com/item?id=33019960). - Source: Hacker News / over 2 years ago
In this section, we'll explore the scenario of connecting to a container that's running within a Kubernetes cluster pod. For demonstration purposes, we're using the Google Kubernetes Engine (GKE) service. - Source: dev.to / 3 months ago
Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / 7 months ago
In my previous post, we explored how LangChain simplifies the development of AI-powered applications. We saw how its modularity, flexibility, and extensibility make it a powerful tool for working with large language models (LLMs) like Gemini. Now, let's take it a step further and see how we can deploy and scale our LangChain applications using the robust infrastructure of Google Kubernetes Engine (GKE) and the... - Source: dev.to / 8 months ago
Kubernetes cluster: You need a running Kubernetes cluster that supports persistent volumes. You can use a local cluster, like kind or Minikube, or a cloud-based solution, like GKE%20orEKS or EKS. The cluster should expose ports 80 (HTTP) and 443 (HTTPS) for external access. Persistent storage should be configured to retain Keycloak data (e.g., user credentials, sessions) across restarts. - Source: dev.to / 10 months ago
In a later post, I will take a look at how you can use LangChain to connect to a local Gemma instance, all running in a Google Kubernetes Engine (GKE) cluster. - Source: dev.to / about 1 year ago
API Platform - REST and GraphQL framework to build modern API-driven projects
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
betaForBeta - One-to-one testing other developers projects
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
DrapCode - DrapCode is a No-Code Platform that helps you build, design and launch complex web applications without writing any coding.
Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance container management service that supports Docker containers.
