tldr - powered by Generative AI

• GraphQL is a query language and server-side runtime that provides a monolithic facade on top of complex microservice architecture
• Using GraphQL introduces new challenges when isolating failures and troubleshooting performance issues
• OpenTelemetry can help monitor and improve troubleshooting for GraphQL queries in production
• The RED method can be used to monitor the health and performance of distributed systems
• Instrumenting GraphQL services with OpenTelemetry can provide distributed traces for monitoring

tldr - powered by Generative AI

• Data Mesh is an emerging concept focused on moving analytical data away from a monolithic data warehouse or data lake into a distributed architecture
• GraphQL can be a powerful solution for data and application modernization problems for both operational and analytical data
• GraphQL provides a semantic JSON model, speed of light caching, and security and authorization
• GraphQL is a query language for APIs, closer to SQL than a collection of endpoints
• GraphQL has modern primitives like subscriptions for consuming real-time data and streams of data
• GraphQL schema is a built-in artifact