Agoda Migrates 72-Shard SQL Cache to DragonflyDB for Speed and Scale
Agoda's migration from a 72-shard SQL Server to DragonflyDB cuts latency and simplifies scaling, handling up to 1.6 million writes per second.
Tech blog · India
Deep dives into React.js, AI and ML integration, MERN stack patterns, and lessons from building production applications at scale in India — written by Deepak Kumar.
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AWS updates Model Context Protocol to remove session affinity, simplifying server deployments and scaling. Learn how to adapt your infrastructure.
Read the articleAgoda's migration from a 72-shard SQL Server to DragonflyDB cuts latency and simplifies scaling, handling up to 1.6 million writes per second.
About the author
Deepak Kumar
Sr Software Engineer at India Today Group | Aaj Tak
Building scalable web applications and Generative AI systems. Writing about React, Node.js, AI and the engineering lessons from 9+ years of production work.
More about meOpen to senior full-stack and AI engineering roles, and to focused contract work. Delhi NCR or fully remote. I reply within 24 hours.
What I take on
Full-stack product build
React, Next.js, Node, NestJS, MongoDB and MySQL — from idea to production.
AI features that ship
OpenAI and LangChain, RAG, semantic search, content and voice automation.
Architecture and scale
Microservices, real-time pipelines and caching — proven at national news scale.
Founding engineer work
Idea to MVP to scale, with SEO and analytics built in from the start.