Beyond AWS, Azure, and GCPโexplore IBM watsonx, Oracle OCI, Databricks, and Snowflake AI platforms. Complete guide with architectures, code examples, and when to choose each platform.
Read more โCategory: Cloud Computing
Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand, as with the electricity grid.
Cloud computing is a natural evolution of the widespread adoption of virtualization, Service-oriented architecture and utility computing. Details are abstracted from consumers, who no longer have need for expertise in, or control over, the technology infrastructure “in the cloud” that supports them.[1] Cloud computing describes a new supplement, consumption, and delivery model for IT services based on the Internet, and it typically involves over-the-Internet provision of dynamically scalable and often virtualized resources.[2][3] It is a byproduct and consequence of the ease-of-access to remote computing sites provided by the Internet.[4] This frequently takes the form of web-based tools or applications that users can access and use through a web browser as if it were a program installed locally on their…
Introduction to Microsoft Agent Framework: The Open-Source Engine for Agentic AI Apps (Part 1)
Learn about Microsoft Agent Framework (MAF), the unified open-source SDK for building production-ready AI agents. This comprehensive guide covers the architecture, key features, and how MAF combines the best of Semantic Kernel and AutoGen for enterprise agentic AI development.
Read more โAdvanced Multi-Agent Patterns: Workflow Orchestration and Enterprise Integration with AutoGen
๐ Part 6 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems ๐ Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns โ Part 5๐ Series Complete! With production deployment from Part 5, we now explore advanced enterprise patterns for complex workflows. โน๏ธ INFO Advanced patterns address the complexity gap […]
Read more โThe Serverless Revolution: Why AWS Lambda Changed Everything I Thought I Knew About Building Scalable Systems
๐ AUTHORITY NOTE Drawing from 20+ years of enterprise architecture experience and having migrated dozens of production systems to serverless, representing millions of Lambda invocations monthly. This is battle-tested, production-proven knowledge. Executive Summary There’s a moment in every architect’s career when a technology fundamentally rewrites your mental model of how systems should work. For me, […]
Read more โDeploying Multi-Agent AI Systems to Production: Scaling AutoGen with Kubernetes
๐ Part 5 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems ๐ Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns โ Part 4Part 6 โ With RAG-enhanced agents from Part 4, we now deploy multi-agent systems to production using Kubernetes. โน๏ธ INFO Single-agent systems are straightforward to deploy. […]
Read more โCloud LLMOps: Mastering AWS Bedrock, Azure OpenAI, and Google Vertex AI
Deep dive into cloud LLMOps platforms. Compare AWS Bedrock, Azure OpenAI Service, and Google Vertex AI with practical implementations, RAG patterns, and enterprise considerations.
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