📖 Part 2 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction to Agentic Development Agent Communication Patterns Automated Code Generation RAG Integration Production Deployment Advanced Patterns ← Previous: Part 1 Next: Part 3 → Building on the core concepts from Part 1, this article explores the communication patterns that […]
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Building Multi-Agent AI Systems with Microsoft AutoGen: A Comprehensive Introduction to Agentic Development
📖 Part 1 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction to Agentic Development Agent Communication Patterns Automated Code Generation RAG Integration Production Deployment Advanced Patterns Next: Part 2 → 🎯 What You’ll Learn in This Series Part 1: AutoGen fundamentals, core concepts, and your first multi-agent system Part […]
Read more →Event-Driven Architecture on GCP: Mastering Cloud Pub/Sub for Real-Time Systems
Google Cloud Pub/Sub provides the foundation for event-driven architectures at any scale, offering globally distributed messaging with exactly-once delivery semantics and sub-second latency. This comprehensive guide explores Pub/Sub’s enterprise capabilities. Cloud Pub/Sub Architecture Overview Pub/Sub Architecture: Topics, Subscriptions, and Delivery Guarantees Pub/Sub implements a publish-subscribe pattern where publishers send messages to topics and subscribers receive […]
Read more →Enterprise PostgreSQL on Google Cloud: AlloyDB Architecture for Mission-Critical Workloads
Google Cloud AlloyDB provides a fully managed, PostgreSQL-compatible database service designed for demanding enterprise workloads. This comprehensive guide explores AlloyDB’s enterprise capabilities with production-ready examples. AlloyDB Disaggregated Architecture AlloyDB Architecture: Cloud-Native PostgreSQL AlloyDB separates compute and storage into independent layers, enabling each to scale independently. The compute layer runs PostgreSQL-compatible database instances, while the storage […]
Read more →Mastering Google Cloud Dataflow: Building Unified Batch and Streaming Pipelines at Scale
Introduction: Google Cloud Dataflow provides a fully managed, serverless data processing service built on Apache Beam that unifies batch and streaming pipelines. This comprehensive guide explores Dataflow’s enterprise capabilities, from pipeline design patterns and windowing strategies to autoscaling, cost optimization, and production monitoring. After building data pipelines processing terabytes daily across multiple cloud providers, I’ve […]
Read more →Vertex AI Masterclass: Building Production ML Pipelines on Google Cloud
Vertex AI represents Google Cloud’s unified machine learning platform, bringing together AutoML, custom training, model deployment, and MLOps capabilities under a single, cohesive experience. This comprehensive guide explores Vertex AI’s enterprise capabilities, from managed training pipelines and feature stores to model monitoring and A/B testing. After building production ML systems across multiple cloud platforms, I’ve […]
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