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Google Kubernetes Engine might be a bit more popular than API Platform. We know about 50 links to it since March 2021 and only 39 links to API Platform. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Another difference is that in .NET Core, we can integrate with OpenAPI out of the box (it is part of the framework), while in Symfony, an API-based application with OpenAPI features is only available using a third-party toolโthe API Platform. - Source: dev.to / over 1 year ago
API Platform is a great tool for rapid API development, but it has a lot of not-so-well-documented features which can sometimes lead to confusion. Playing around with a new project of mine I've stumbled into one: tests were failing for my validation assertions of endpoints' responses! - Source: dev.to / over 1 year ago
Technically API Platform is not part of Symfony. Although, they are both French. ๐. - Source: dev.to / over 1 year ago
Probably API-platform. The website is down at the moment, but: https://github.com/api-platform/api-platform It's Symfony based (and plays nice in that ecosystem), also allows you to describe entities via Schema org vocab, has a client generator, and comes with docker-compose and helm charts. I've used it extensively to build various headless services. It's really easy to expose annotated Doctrine entities. Source: about 2 years ago
API Platform is a framework for API-first projects, built on top of Symfony components. Let's see how to create a minimal and lightweight starter project in just 5 minutes! - Source: dev.to / about 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
Play Framework - An open source web framework which follows the model-view-controller architecture. It is light-weight, web-friendly, and stateless. It provides minimal overhead for highly-scalable applications.
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Adonis JS - AdonisJs is a Node.js web framework with breath of fresh air and drizzle of elegant syntax on top of it
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Laravel - A PHP Framework For Web Artisans
Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performanceโ container management service that supports Docker containers.