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Nowadays, there’s common practice to divide the environment of our application into production and staging. This practice intended to create a safe environment for testing the application before we deploy the application to production and then used by the real user.

So, the engineer need to be able deploy the application into these different environment separately. So, we need to do practice for this purpose. But if we trying to do this on a cloud provider like AWS or GCP, it’s a sure thing that the cost will drain your wallet.

In this post, I will share a cost-effective solution for this problem. We will deploy a enterprise-grade Hub-and-Spoke GitOps environment inside a single local Virtual Machine. And it will completely for free.

This time, we will use Kubernetes as our main orchestrator for the application. We will use k3d to emulate the Kubernetes, ArgoCD as the CD (Continous Deployment) tool and GitHub as our project repository.

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In today’s digital landscape, user-to-user interaction is a core component of successful platforms. When you implement a real-time chat feature, you open a vital channel for community building. However, you also assume the responsibility of maintaining a safe, inclusive environment. Left unchecked, toxicity, profanity, and offensive language can quickly drive away valuable users and erode the trust in your product.

Censorship, in this context, is not about stifling conversation—it’s about protection and moderation.

This article will offer a use case for building real-time chat feature with censorship for offensive languages. I already have the existing code repository that built with React.JS and Nest.JS framework, but let’s build the chat feature from the beginning.

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