NGINX Integration Patterns

This guide offers concise walkthroughs for integrating NGINX with Node.js, Redis, PostgreSQL, and more on UCloud. It explores multiple scenarios, highlighting NGINX's versatility as a reverse proxy to enhance the scalability and efficiency of web applications.

Contents

• Real-Time Data Streaming with Node.js
  • Overview: System architecture
  • Initialization: Setting up NGINX
  • Streaming Setup: Building with Node.js
  • NGINX Integration: Reverse proxy setup
  • Testing: Validating the setup
  • Summary: Key takeaways
• Key-Value Store Using Node.js and Redis
  • Overview: System architecture
  • Data Storage: Setting up Redis
  • Web Server: Setting up NGINX
  • Node.js Connectivity: Establishing the interface
  • NGINX Configuration: Proxy Setup
  • Evaluation: Testing the store
  • Conclusion: Reflecting on the build
• REST API for PostgreSQL with Node.js
  • Overview: System architecture
  • Database Initialization: PostgreSQL setup
  • NGINX as Gateway: Configuring access
  • API Crafting: Developing a RESTful service with Node.js.
  • NGINX Adjustment: API Proxy Setup
  • Testing: API fuctionality verification
  • Summary: System overview
• MongoDB Data Management with Node.js
  • Overview: System architecture
  • MongoDB Setup: Database initialization
  • NGINX Configuration: API gateway setup
  • Node.js Application: Backend setup
  • API Routing with NGINX: Request handling
  • Application Testing: Endpoint verification
  • Conclusion: Development overview
• Change Data Capture System
  • Architecture Overview: Streamlined data capture and storage
  • Redis for CDC: Setting up Pub/Sub
  • MinIO Integration: Implementing data storage
  • Initialization: Setting up NGINX
  • Node.js Processing: Building the application
  • NGINX Routing: Configuring data paths
  • System Testing: Validating CDC
  • Summary: System overview
• Scalable Data Architecture from Streaming to Visualization
  • Architecture Overview: Scalable data pipeline
  • PostgreSQL Setup: Configuring the data warehouse
  • Spark Streaming Analysis: Real-time data processing
  • NGINX Integration: Gateway for data streaming
  • Data Generation: Simulating energy network inputs
  • Streamlit Dashboard: Visualizing insights
  • Conclusion: Insights and integration