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Really Nais Examples

This repository contains a collection of example applications for the Nais platform. The main example is a Quotes application, where users can view and create quotes. Each service demonstrates a specific technology stack and integration pattern commonly used in modern cloud-native applications on Nais.

Another key purpose of these examples is to showcase the observability features available in the Nais Platform, based on OpenTelemetry. This includes:

  • Logs collected in Loki
  • Metrics collected in Prometheus
  • Traces collected in Tempo

All observability data is available and visualized in Grafana, making it easy to monitor, debug, and understand your applications running on Nais.

Purpose

The purpose of this repository is to help developers understand how to:

  • Build and deploy frontend, backend, and load generation services on Nais
  • Integrate with managed databases (PostgreSQL)
  • Use modern frameworks and best practices for cloud applications

High-Level Overview

This repository consists of the following services:

Service Tech Stack Purpose & Description
quotes-frontend Next.js, React, Tailwind CSS The web frontend for the Quotes app, allowing users to view and submit quotes.
quotes-backend Kotlin, Ktor, PostgreSQL The backend API for the Quotes app, handling quote storage and retrieval.
quotes-loadgen Go (Golang) A load generator for simulating traffic and testing the Quotes application.

For more details on each service, see the README in the respective subdirectory:

Architecture

A high-level overview of the Quotes application and its dependencies:

---
config:
  flowchart:
    defaultRenderer: elk
---
graph LR

  subgraph Browser
  A(React.js)
  end

  subgraph Frontend
  B(Next.js + Tailwind CSS)
  end

  subgraph Backend
  C(Ktor)
  D(PostgreSQL)
  end

  subgraph Loadgen
  E(Go)
  end

  A --> B
  B --> C
  C --> D
  E --> B

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License

The code in this repository is licensed under the MIT license. See LICENSE for more information.

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A collection of example apps demonstrating features and concepts in and around NAIS.

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