Associate Technical Marketing Manager
Diego Alvarez Ponce
Diego Álvarez is a Technical Marketing Manager at Red Hat, specialized in Edge and Artificial Intelligence. For the past two years he has worked helping to drive the adoption of edge and its surroundings. He also has a strong interest in artificial intelligence and its possibilities within the edge.
Diego Alvarez Ponce's contributions
Article
Bringing custom knowledge to agents with AutoRAG
Automate enterprise-wide RAG pipelines with Red Hat OpenShift AI's AutoRAG, speeding up AI optimization for your business.
Article
AI-powered multicluster management: Querying fleet health with OpenShift Lightspeed and Red Hat Advanced Cluster Management
Connect OpenShift Lightspeed to the MCP server for Red Hat Advanced Cluster Management for Kubernetes to query your fleet in natural language.
Article
Simplify GitOps workflows with MCP in OpenShift Lightspeed
Learn how to connect GitHub and incident detection MCP servers to OpenShift Lightspeed. Automate your cluster troubleshooting and GitOps workflows using AI.
Article
How to connect OpenShift Lightspeed MCP to your IDE
Learn how to integrate OpenShift Lightspeed into an IDE using the MCP server to generate configurations and query cluster resources without leaving your IDE.
Article
Assessing AI for OpenShift operations: Advanced configurations
Learn how OpenShift Lightspeed performed when asked handle complex OpenShift scenarios, such as application security and advanced configurations.
Article
OpenShift Lightspeed: Assessing AI for OpenShift operations
Explore OpenShift Lightspeed through a certification-like exercise, pitting the AI assistant against real-world OpenShift certification questions.
Article
Optimize model serving at the edge with RawDeployment mode
Deploy AI at the edge with Red Hat OpenShift AI. Learn to set up OpenShift AI, configure storage, train models, and serve using KServe's RawDeployment.
Article
How to use pipelines for AI/ML automation at the edge
Learn how to use pipelines in OpenShift AI to automate the full AI/ML lifecycle on a single-node OpenShift instance.
Bringing custom knowledge to agents with AutoRAG
Automate enterprise-wide RAG pipelines with Red Hat OpenShift AI's AutoRAG, speeding up AI optimization for your business.
AI-powered multicluster management: Querying fleet health with OpenShift Lightspeed and Red Hat Advanced Cluster Management
Connect OpenShift Lightspeed to the MCP server for Red Hat Advanced Cluster Management for Kubernetes to query your fleet in natural language.
Simplify GitOps workflows with MCP in OpenShift Lightspeed
Learn how to connect GitHub and incident detection MCP servers to OpenShift Lightspeed. Automate your cluster troubleshooting and GitOps workflows using AI.
How to connect OpenShift Lightspeed MCP to your IDE
Learn how to integrate OpenShift Lightspeed into an IDE using the MCP server to generate configurations and query cluster resources without leaving your IDE.
Assessing AI for OpenShift operations: Advanced configurations
Learn how OpenShift Lightspeed performed when asked handle complex OpenShift scenarios, such as application security and advanced configurations.
OpenShift Lightspeed: Assessing AI for OpenShift operations
Explore OpenShift Lightspeed through a certification-like exercise, pitting the AI assistant against real-world OpenShift certification questions.
Optimize model serving at the edge with RawDeployment mode
Deploy AI at the edge with Red Hat OpenShift AI. Learn to set up OpenShift AI, configure storage, train models, and serve using KServe's RawDeployment.
How to use pipelines for AI/ML automation at the edge
Learn how to use pipelines in OpenShift AI to automate the full AI/ML lifecycle on a single-node OpenShift instance.
