Building a Production-Ready MCP Server: Async PostgreSQL, OpenTelemetry, and Kubernetes in One Template

📰 Dev.to · Manjunath G

Learn to build a production-ready MCP server using async PostgreSQL, OpenTelemetry, and Kubernetes in one template

intermediate Published 10 Apr 2026
Action Steps
  1. Set up an async PostgreSQL database to handle concurrent requests
  2. Configure OpenTelemetry to monitor and track application performance
  3. Create a Kubernetes template to deploy and manage the MCP server
  4. Test and validate the deployment using Kubernetes
  5. Apply OpenTelemetry metrics to optimize application performance
Who Needs to Know This

DevOps engineers and developers can benefit from this tutorial to improve their skills in building scalable and monitored applications

Key Insight

💡 Using async PostgreSQL, OpenTelemetry, and Kubernetes can help build a scalable and monitored MCP server

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🚀 Build a production-ready MCP server with async PostgreSQL, OpenTelemetry, and Kubernetes! 🚀

Key Takeaways

Learn to build a production-ready MCP server using async PostgreSQL, OpenTelemetry, and Kubernetes in one template

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