foodadvisor VS kubernetes

FoodAdvisor is the official Strapi demo application; you can learn a lot about Strapi by studying the repo.

💡 Tips: Instead of creating all your components from scratch, you can pick up examples directly from the strapi.io website and the official FoodAdvisor Demo.

Strapi is an open-source headless CMS. It’s 100% JavaScript and fully customizable. To see firsthand how it performs, Strapi provides an official demo app called FoodAdvisor that can be previewed on Strapi’s website or deployed locally or in the cloud.

In this guide, we'll use Strapi's demo application, Food Advisor.

Don't worry if you don't have the same result as me. Indeed everything depends on your Strapi project. I use for this tutorial our demo FoodAdvisor :)

It's true, why make an SEO plugin? I could have improved our FoodAdvisor demo application or updated our outdated tutorials on v4!

Strapi is an open-source tool written with Node.js that offers unparalleled customizations and a super-fast headless CMS. To see firsthand how it performs, Strapi provides an official demo app called FoodAdvisor that can be previewed in Strapi’s website or deployed locally or in the cloud. The FoodAdvisor app shows a listing of different restaurants and serves as a demo of the capabilities of Strapi.

It was a lot of fun to update this official demo! We hope this new version will give you a better idea of what can be achieved with Strapi. Feel free to give it a try on our website by requesting a private instance, directly on your computer, or even on Gitpod!

This is the code that is implemented on FoodAdvisor, our live demo which has a Next.js front-end. First of all we get modifiedData and layout from useContentManagerEditViewDataManager hook. The first is an object containing your entry data, and the second has more interesting information about your entry (apiID, kind of content-type, metadatas etc...)

I encourage you to send this article that I wrote to your technical team concerning some good SEO practices in Strapi. These are just the basics, feel free to go further in customization. These are practices that we have obviously used in our website as well as on Foodadvisor, our live demo.

In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.

Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.

Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.

"You are holding it wrong", huh?

From the homepage https://kubernetes.io/:

"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."

Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.