Software Alternatives, Accelerators & Startups

JSON Placeholder VS Google Kubernetes Engine

Compare JSON Placeholder VS Google Kubernetes Engine and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

JSON Placeholder logo JSON Placeholder

JSON Placeholder is a modern platform that provides you online REST API, which you can instantly use whenever you need any fake data.

Google Kubernetes Engine logo Google Kubernetes Engine

Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
  • JSON Placeholder Landing page
    Landing page //
    2022-01-17
  • Google Kubernetes Engine Landing page
    Landing page //
    2023-02-05

JSON Placeholder features and specs

  • Free to Use
    JSON Placeholder is completely free for developers to use. There are no fees or subscription costs, which makes it accessible for anyone needing mock data quickly.
  • Reliable and Well-Maintained
    The API is maintained and kept up-to-date, ensuring that developers can rely on it for consistent performance and uptime.
  • Ease of Use
    The service is user-friendly, with clear documentation and straightforward endpoints, making it easy for developers to integrate and work with.
  • Variety of Data Types
    JSON Placeholder provides different types of data such as users, posts, comments, and todos, suitable for a variety of testing scenarios.
  • No Authentication Required
    The API does not require any form of authentication, which simplifies the process of making requests and testing applications.
  • Common Data Model
    The data model used by JSON Placeholder represents common entities often found in real-world applications, making it practical for most development purposes.

Possible disadvantages of JSON Placeholder

  • Static Data
    The data provided by JSON Placeholder is static and does not change, which can limit its usefulness for testing applications that require dynamic data.
  • Not Real Data
    The information provided is entirely fictional and may not accurately represent real-world scenarios, potentially leading to less realistic testing environments.
  • Limited Data Size
    The amount of data available is limited, which may not be sufficient for testing applications that require large datasets.
  • No Custom Data Generation
    JSON Placeholder does not offer features to generate custom datasets, which can be a limitation for developers who need specific data formats or structures.
  • Lack of Advanced Features
    The API offers basic CRUD operations but lacks advanced features like filtering, sorting, or pagination, which may be necessary for some testing scenarios.

Google Kubernetes Engine features and specs

  • Managed Service
    GKE is a fully managed service, which means Google takes care of tasks like provisioning, maintenance, and updates of the cluster, reducing the operational burden on users.
  • Scalability
    GKE offers robust scalability options, allowing you to easily scale your applications up or down based on demand. This is facilitated through auto-scaling features for both nodes and pods.
  • Integration with Google Cloud Services
    GKE integrates seamlessly with other Google Cloud services such as Cloud Storage, BigQuery, and more, providing a streamlined experience for leveraging multiple cloud tools.
  • Security
    GKE offers advanced security features like private clusters, and integrates with Google Cloud IAM, which allows for fine-grained access control, helping to secure your Kubernetes environment.
  • Ease of Use
    GKE's comprehensive dashboard, command-line interface, and supporting documentation make it easy to deploy, manage, and monitor Kubernetes clusters.
  • Global Reach
    With GKE, you can deploy clusters across multiple regions and zones, giving you the ability to build highly available, geographically dispersed applications.

Possible disadvantages of Google Kubernetes Engine

  • Cost
    While GKE offers extensive features, it can be more expensive compared to other Kubernetes solutions, especially when additional services and high-availability features are utilized.
  • Limited Customization
    As a managed service, GKE has some limitations in terms of customization and control over the underlying infrastructure compared to self-managed Kubernetes environments.
  • Complexity
    Despite its ease of use features, GKE still requires a certain level of expertise to efficiently manage Kubernetes clusters, which can be a steep learning curve for beginners.
  • Dependence on Google Cloud
    Using GKE ties you to the Google Cloud ecosystem, which may limit flexibility if you decide to migrate to a different cloud provider or adopt a multi-cloud strategy.
  • Resource Constraints
    Like all cloud services, GKE nodes can be subject to resource limits and quotas imposed by Google Cloud, which can impact performance if not properly managed.
  • SLA and Downtime
    While Google Cloud offers Service Level Agreements (SLAs), there is still a risk of downtime which could affect your applications. Additionally, relying on a third-party provider means issues may take time to resolve.

JSON Placeholder videos

Albums Json Placeholder - Review 4

More videos:

  • Review - JSON PLACEHOLDER - FAKE API

Google Kubernetes Engine videos

Getting Started with Containers and Google Kubernetes Engine (Cloud Next '18)

More videos:

  • Review - Optimize cost to performance on Google Kubernetes Engine
  • Tutorial - Google Kubernetes Engine (GKE) | Coupon: UDEMYSEP20 - Kubernetes Made Easy | Kubernetes Tutorial

Category Popularity

0-100% (relative to JSON Placeholder and Google Kubernetes Engine)
Development
100 100%
0% 0
Developer Tools
19 19%
81% 81
Online Services
100 100%
0% 0
Cloud Computing
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare JSON Placeholder and Google Kubernetes Engine

JSON Placeholder Reviews

We have no reviews of JSON Placeholder yet.
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Google Kubernetes Engine Reviews

Top 12 Kubernetes Alternatives to Choose From in 2023
Google Kubernetes Engine (GKE) is a prominent choice for a Kubernetes alternative. It is provided and managed by Google Cloud, which offers fully managed Kubernetes services.
Source: humalect.com
11 Best Rancher Alternatives Multi Cluster Orchestration Platform
Google Kubernetes Engine is a CaaS (container as a service) platform that lets you easily create, resize, manage, update, upgrade, and debug container clusters. Google Kubernetes Engine, aka GKE, was the first managed Kubernetes service, and therefore, it is highly regarded in the industry.
Top 10 Best Container Software in 2022
If you need a speedy creation of developer environments, working on micro services-based architecture and if you want to deploy production grade clusters then Docker and Google Kubernetes Engine would be the most suitable tools. They are very well suited for DevOps team.
7 Best Containerization Software Solutions of 2022
If you’re looking for a managed solution to help you deploy and scale containerized apps on your virtual machines quickly, Google Kubernetes Engine is a great choice.
Source: techgumb.com

Social recommendations and mentions

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.

JSON Placeholder mentions (160)

  • Rest Client - Fetch
    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
  • Modern Networking in iOS with URLSession and async/await: A Practical Guide
    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
  • Tutorial 14: Networking in iOS - Making API Calls with URLSession
    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
  • How To Fetch Data From API In React JS Axios
    Try fetching data from public APIs like JSONPlaceholder or OpenWeatherMap. - Source: dev.to / about 2 months ago
  • Debounce vs. Throttle in JavaScript, in Simple Words
    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
View more

Google Kubernetes Engine mentions (49)

  • Google Cloud Unveils A4 VMs with NVIDIA Blackwell GPUs for AI
    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
  • Deploy Gemini-powered LangChain applications on GKE
    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
  • Securing Applications Using Keycloak's Helm Chart
    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
  • Simplify development of AI-powered applications with LangChain
    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
  • 26 Top Kubernetes Tools
    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
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What are some alternatives?

When comparing JSON Placeholder and Google Kubernetes Engine, you can also consider the following products

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.