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C# & AI Masterclass: Cloud-Native AI & Microservices. Containerizing Agents and Scaling Inference.
Stop scripting and start engineering the next generation of cloud-native AI. Master C# and Kubernetes to build resilient, distributed agent swarms at scale. Bridge the gap between experimental logic and high-performance, production-grade systems. Architect the future of intelligence—from event-driven scaling to secure service meshes.
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About
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Architect the Future of Intelligent Systems with C# and Kubernetes
The era of the monolithic AI script is over. To build the next generation of enterprise software, you must stop treating AI agents as experimental toys and start treating them as resilient, scalable cloud-native microservices.
Cloud-Native AI Agents with C# is the definitive guide for .NET architects and developers who need to operationalize Artificial Intelligence at scale. This advanced volume moves beyond the basics of API calls, taking you deep into the engineering challenges of orchestrating distributed agent swarms.
In this book, you will not just write code; you will design systems. You will learn how to decouple cognitive logic from execution environments, manage expensive GPU resources efficiently, and build self-healing infrastructure that adapts to bursty inference workloads.
What You Will Build and Master:
- Containerization Strategies: Master multi-stage builds to package Python/C# hybrid agents into secure, lightweight containers.
- Advanced Orchestration: Use Kubernetes Operators and StatefulSets to manage the complex lifecycle of stateful agents.
- Event-Driven Scaling (KEDA): Implement autoscaling architectures that react to RabbitMQ queue depth and Kafka lag, ensuring your agents scale to zero and burst to infinity.
- High-Performance Inference: Implement dynamic batching, GPU partitioning, and asynchronous pipelines to maximize hardware ROI.
- Service Mesh Integration: Secure your agent swarm with Istio, enabling mTLS, circuit breaking, and canary deployments for new model versions.
- Capstone Project: Combine every concept to build a production-grade Distributed RAG (Retrieval-Augmented Generation) Pipeline from scratch.
Whether you are building a customer support bot that handles thousands of concurrent users or a complex multi-agent system for automated reasoning, this book provides the architectural patterns, C# code samples, and Kubernetes manifests you need to succeed.
Stop scripting. Start engineering. Scale your intelligence.
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Author
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Edgar Milvus
A veteran software engineer with 20 years of experience, I have dedicated my career to the art of automation. My philosophy is simple: programming should eliminate repetitive chores to unlock human creativity. This journey began early on with the development of custom code-generation tools and has evolved into a deep mastery of LLMs and their APIs. Today, I specialize in architecting AI-driven solutions that handle everything from complex coding and security tasks to advanced knowledge retrieval, transforming the way we interact with technology
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