Content by ranjsharma (6)

ranjsharma explains a practical process for refreshing golden images for Azure Virtual Machines and Virtual Machine Scale Sets, using Packer and pipelines to bake new custom images and Terraform to roll them out safely. It also covers VMSS upgrade modes (automatic vs manual) and the downtime trade-offs.

ranjsharma describes an “AI Guardian” browser extension concept for detecting Shadow AI usage and reducing enterprise risk from AI prompts, including sensitive-data leakage, prompt injection, and compliance violations, with controls like prompt blocking, redaction, SOC alerting, and audit logging.

ranjsharma explains how to run AWS-hosted Enterprise Rundeck jobs on Azure by deploying a Rundeck Runner on an Azure Linux VM, covering network prerequisites, runner setup, systemd service configuration, log rotation, and an upgrade flow using the Rundeck API.

ranjsharma describes an Azure-focused Terraform drift validator that compares design intent (Excel/docs), Terraform state, and live Azure configuration using Azure Resource Graph plus step-by-step Azure Portal checks, producing a structured drift report with severity and remediation guidance.

ranjsharma outlines an approach for validating Azure infrastructure consistency by comparing an Excel “source of truth” against Terraform configuration and the actual deployed resources, producing a drift report that highlights missing resources and mismatched settings like region and SKU.

ranjsharma presents a step-by-step guide to integrating Azure Application Gateway v2 and Azure API Management for secure, scalable API solutions, including automation with Terraform and Azure DevOps.