Software Alternatives, Accelerators & Startups

Kind VS Google Cloud Functions

Compare Kind VS Google Cloud Functions and see what are their differences

Kind logo Kind

Kind is a web-based tool that provides you the features to operate the local kubernetes clusters with the help of a docker container named nodes.

Google Cloud Functions logo Google Cloud Functions

A serverless platform for building event-based microservices.
  • Kind Landing page
    Landing page //
    2023-06-11
  • Google Cloud Functions Landing page
    Landing page //
    2023-09-25

Kind videos

Swans - To Be Kind ALBUM REVIEW

More videos:

  • Review - Kind LED X420 LED Grow Light Review

Google Cloud Functions videos

Google Cloud Functions: introduction to event-driven serverless compute on GCP

More videos:

  • Review - Building Serverless Applications with Google Cloud Functions (Next '17 Rewind)

Category Popularity

0-100% (relative to Kind and Google Cloud Functions)
Developer Tools
78 78%
22% 22
Cloud Computing
23 23%
77% 77
Development
100 100%
0% 0
Cloud Hosting
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Kind should be more popular than Google Cloud Functions. It has been mentiond 77 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.

Kind mentions (77)

  • Take a look at traefik, even if you don't use containers
    Have you tried https://kind.sigs.k8s.io/? If so, how does it compare to k3s for testing? - Source: Hacker News / 19 days ago
  • How to distribute workloads using Open Cluster Management
    To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:. - Source: dev.to / 4 months ago
  • 15 Options To Build A Kubernetes Playground (with Pros and Cons)
    Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration. - Source: dev.to / 4 months ago
  • Exploring OpenShift with CRC
    Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood. - Source: dev.to / 4 months ago
  • K3s Traefik Ingress - configured for your homelab!
    I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project,... - Source: dev.to / 5 months ago
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Google Cloud Functions mentions (42)

  • A Brief History Of Serverless
    The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / 10 days ago
  • Increasing Your Cloud Function Development Velocity Using Dynamically Loading Python Classes
    One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 6 months ago
  • Need some advice on API key storage
    I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 7 months ago
  • Golden Ticket To Explore Google Cloud
    Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 10 months ago
  • Isolate a resource intensive task (in C++) from a Django Web app and restructure a web app
    Lambda is made for your use case :). It doesn’t have to be AWS there are plenty of other serverless computing services like: - Google cloud functions - Azure functions Etc. Source: 12 months ago
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What are some alternatives?

When comparing Kind and Google Cloud Functions, you can also consider the following products

minikube - Run Kubernetes locally. Contribute to kubernetes/minikube development by creating an account on GitHub.

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Minishift - Minishift is an advanced-level tool that is used to control and run the local base OKD with the help of a cluster which is single nodded, and it works perfectly inside the virtual machine.

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.

AutoFac - An addictive .NET IoC container. Contribute to autofac/Autofac development by creating an account on GitHub.

AWS Lambda - Automatic, event-driven compute service