-
Harbor for Beginners, Part 8: Create a Robot Account
Create a login for scripts and pipelines so they never use your password. Make a robot account, scope its permissions, grab its one-time secret, and use it to pull, all by yourself as Project Admin.
-
Harbor for Beginners, Part 7: Add Members and Set Their Roles
Open your project to other people and decide what each one can do. The five Harbor roles explained in plain terms, how to add a member, and where new accounts actually come from.
-
Harbor for Beginners, Part 6: Block Risky Images
Turn the scanner’s findings into a gate. Set a severity line, and Harbor refuses to hand out any image that crosses it, while clean images pull as normal. With a real before-and-after using a vulnerable nginx.
-
Harbor for Beginners, Part 5: Scan an Image for Vulnerabilities
Press one button and let Harbor check your image for known security problems. Run the built-in Trivy scanner, watch it work, read the result, and learn what a report full of CVEs looks like.
-
Harbor for Beginners, Part 4: Tag an Image and Understand Versions
The three words you keep seeing in Harbor, explained by adding a second tag to the image you pushed. See how one artifact can carry many tags, and why a digest is the real identity.
-
Harbor for Beginners, Part 3: Push Your First Image
Put a real image into your Harbor project without Docker. Use the crane tool from the Jupyter notebook to copy a public image in, then watch it appear in the console with its tag, size, and digest.
-
Harbor for Beginners, Part 2: Create Your First Project
Make your own project in Harbor so you can actually start using it. Public versus private in plain terms, the thirty-second create flow, and a tour of the admin tabs you get once a project is yours.
-
Harbor for Beginners, Part 1: Getting Started
A friendly first tour of the Harbor registry for people from a VMware background. What Harbor is, how to read the Projects page, and what each screen does, with nothing changed and nothing to break.
-
Monitoring GPU Resources in a Private AI Platform: Metrics, Dashboards, and Tools
Which metrics tell you the truth about GPU health, and which tools to use to see them, with real dashboard patterns, alert thresholds, and practical habits for a private AI estate.
-
Data Sources in Private AI: Connectors and Supported File Formats
The four data source connectors in Private AI (Google Drive, Confluence, Amazon S3, SharePoint) and the file formats the platform can index for retrieval.
-
What Is in the Private AI Catalog: A Guide to the Blueprints
A plain-language field guide to every blueprint in the Private AI catalog, grouped by job: compute, model serving, RAG retrieval, OCR and speech, and the access layer.

Architect’s Toolkit
PJ’s Tools
VMware Cloud Foundation
- VCF Documentation
- VCF 9 Planning & Preparation Workbook
- VCF Bill of Materials (BoM)
- VMware Compatibility Guide
- VMware Interoperability Matrix
- VMware Configuration Maximums
- VMware Ports & Protocols
- VMware Hands-on Labs
- RVTools Download
Nutanix
AI & Cloud-Native Platform
- NVIDIA Build (Model Catalog)
- NVIDIA AI Enterprise Reference Architecture
- NVIDIA NIM Performance Benchmarking
- NVIDIA NGC Catalog
- NeMo Microservices Helm Chart
- Helm Charts Repository
- Hugging Face Models
Architecture & Design
About the Author

Dr Pranay Jha
Dr. Pranay Jha is a Cloud and AI Consultant with 18+ years of experience in hybrid cloud, virtualization, and enterprise infrastructure transformation. He specializes in VMware technologies, multi-cloud strategy, and Generative AI solutions. He holds a PhD in Computer Applications with research focused on Cloud and AI, has published multiple research papers, and has been a VMware vExpert since 2016 and a VMUG Community Leader.






DrJha