AI-Driven Microservices: Crafting Scalable Systems with Adaptive Intelligence
About This Book
Scalability meets intelligence — the future of software architecture has arrived.
As systems grow more complex, traditional architectures struggle to adapt in real time. The next generation of digital infrastructure demands something more — intelligence that scales, learns, and evolves.
AI-Driven Microservices is your blueprint for building autonomous, self-optimizing systems that combine the flexibility of microservices with the predictive power of Artificial Intelligence.
This groundbreaking guide bridges software architecture, machine learning, and system design, showing how to engineer platforms that not only perform — but think.
⚙️ Inside, You’ll Learn:
• 🧠 The Intelligence Layer — how AI integrates into microservice ecosystems to enable real-time learning and decision-making.
• 🧩 Designing Adaptive Architectures — from smart APIs to self-healing services that manage themselves.
• 🚀 Scalability Through Automation — applying AI for load prediction, orchestration, and dynamic resource optimization.
• 💡 Data Pipelines and Predictive Monitoring — building feedback-driven systems that improve continuously.
• 🌍 From DevOps to AIOps — evolving your development and deployment pipeline with AI at its core.
Through practical frameworks, architectural blueprints, and real-world use cases, AI-Driven Microservices redefines how intelligent software ecosystems are conceived, built, and scaled — turning complex systems into living, learning networks.
For developers, software architects, data engineers, and innovators, this book offers the roadmap to mastering the art of engineering intelligence — one microservice at a time.
Build smarter. Scale faster.
Engineer systems that learn.
Book Details
| Title | AI-Driven Microservices: Crafting Scalable Systems with Adaptive Intelligence |
|---|---|
| Author(s) | Mohd. Muqeem, Dr. Afroj Alam |
| ISBN | 9788199058415 |
| Publisher | Xilvora Ink |
| Publication Date | August 2025 |
| Language | English |
| Number of Pages | 250 |
| Category | Artificial Intelligence |
| Available Formats | Paperback |