Posts tagged with: AI

A practical guide to building an automated workflow that gathers AI news from multiple sources, uses a large language model to analyze and score articles, and delivers a curated daily digest to your team.

A Deep Dive into Building a Slack-to-Atlassian AI Chatbot with n8n, MCP, and Kubernetes

AI Native is the next disruptive wave. Learn how to navigate the transition from Cloud Native to AI Native, avoid common transformation mistakes, and build the foundation for intelligent systems.

Agents in Dialogue Part 1 of 3: MCP - The Universal Connector for AI and its Tools.

Agents in Dialogue Part 2 of 3: ACPs - The Foundational Languages of Agent Collaboration.

Agents in Dialogue Part 3 of 3: A2A Protocol - Orchestrating Modern AI Agent Teams.

Join us at KubeCon for expert insights on AI and Kubernetes. Learn how to align goals, engage with experts, and turn napkin concepts into actionable plans.

Discover how AI Engineering and platform principles solve GPU utilization challenges for scalable and efficient AI development.

Step-by-step guide: Deploy Llama and DeepSeek LLMs using SGLang on DataCrunch, and integrate with LibreChat for seamless conversations.

Explore how agentic AI and autonomous systems are reshaping software development, enabling new levels of automation and innovation.

Maximize ROI in platform engineering by treating platforms as products. Discover strategies to enhance developer experience and boost returns.

Learn how to build a comprehensive AI platform architecture. From development to model serving, create scalable, production-ready AI systems.

Build scalable platforms with Platform Engineering Reference Architecture. Empower developers and accelerate software delivery beyond cloud native.

Discover the evolving landscape of Large Language Model (LLM) architectures and learn how they are revolutionizing natural language processing (NLP) tasks.

Learn about Large Language Models (LLMs), the Transformer architecture, tokenization, embeddings, and their impact on natural language processing.

Discover key strategies for evolving cloud native platform to platform engineering in cloud-native environments, ensuring long-term scalability and robustness.

Discover how AI Engineering adapts Platform Engineering principles to meet AI challenges, making AI development scalable, efficient, and resilient.

Discover why a dedicated platform team is vital for GenAI integration—enabling scalable infrastructure, ensuring compliance, and empowering developers.

Explore how platform engineering leverages cloud-native tech and AI to drive innovation, reduce costs, and enhance product and service delivery.