Building for real-time
The definitive guide to powering fast, responsive apps & AI agents
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Why real-time is different from “fast”
Discover the real difference between sub-millisecond responsiveness and “fast enough,” and why consistency and freshness matter just as much as speed.
What determines real-time performance
Explore how algorithmic complexity, data volume constraints, and data storage technologies work together to build a real-time system.
From good to great
Understand how latency requirements shift from “nice to have” to non-negotiable, and what separates dependable real-time from systems that only perform sometimes.
Real-time in practice
Learn how Redis powers everything from message queues to fraud detection to GenAI agents by providing the low-latency data layer modern systems need.
1.2M+ transactions/sec at sub-millisecond latency
50% of developers plan to expand Redis use for AI workloads (Stack Overflow 2025)
Top choice for AI agents thanks to its built-in vector database and real-time memory
75% reduction in latency achieved by global retailers using Redis Cloud
Learn how to design systems that deliver speed, reliability, scalability and consistency at every interaction. This guide gives you the architectural patterns, best practices, and real-world examples to help you move from ‘fast enough’ to true real-time.