Based on our record, JSON Placeholder should be more popular than Google Kubernetes Engine. It has been mentiond 160 times since March 2021. 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.
Const request = { title: 'foo', body: 'bar', userId: 1, }; Fetch('https://jsonplaceholder.typicode.com/posts', { method: 'POST', body: JSON.stringify(request), headers: { 'Content-type': 'application/json; charset=UTF-8', }, }) .then(response => response.json()) .then(json => console.log(json));. - Source: dev.to / 13 days ago
Encapsulation of base URL logic: Centralizes the host and scheme configuration (e.g. "https://jsonplaceholder.typicode.com"), keeping the logic DRY (Don't Repeat Yourself). - Source: dev.to / about 1 month ago
Import Foundation Class NetworkManager { static let shared = NetworkManager() private let baseURL = "https://jsonplaceholder.typicode.com" func fetchMessages(completion: @escaping ([Message]?) -> Void) { guard let url = URL(string: "\(baseURL)/messages") else { return } let task = URLSession.shared.dataTask(with: url) { data, response, error in guard let data = data,... - Source: dev.to / about 2 months ago
Try fetching data from public APIs like JSONPlaceholder or OpenWeatherMap. - Source: dev.to / about 2 months ago
In this CodePen, you can see a simple debounce function in action. The function waits 500 milliseconds after the user stops typing. Then, it makes a request to the JSONPlaceholder API to display the relevant results. - Source: dev.to / 2 months ago
Integration with Google Kubernetes Engine (GKE), which supports up to 65,000 nodes per cluster, facilitating robust AI infrastructure. - Source: dev.to / about 2 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 / 4 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 / 5 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 / 8 months ago
Google Kubernetes Engine (GKE) is another managed Kubernetes service that lets you spin up new cloud clusters on demand. It's specifically designed to help you run Kubernetes workloads without specialist Kubernetes expertise, and it includes a range of optional features that provide more automation for admin tasks. These include powerful capabilities around governance, compliance, security, and configuration... - Source: dev.to / 11 months ago
JSON Server - Get a full fake REST API with zero coding in less than 30 seconds. For front-end developers who need a quick back-end for prototyping and mocking
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
ReqRes - A hosted REST-API ready to respond to your AJAX requests.
Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance container management service that supports Docker containers.
Mockae - The most flexible way to mock REST APIs with Lua code execution
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.