Technical Insights & FAQ

Strategic answers for Cloud Architecture, AI Automation, and DevOps.

Generative AI & IBM Watson

We use Watsonx.ai Foundation Models to automate ticket classification. By analyzing intent and sentiment, the AI predicts the correct assignment group, reducing manual triaging time by 40%.

RAG connects Azure OpenAI to your local data (using Azure AI Search). This ensures your AI gives factual answers based on your company’s private documents without needing to retrain the model.

Azure Architecture & Migration

Using Azure Database Migration Service (DMS), we perform online migrations. Data is synchronized continuously, allowing for a cutover in minutes with nearly zero impact on users.

This topology centralizes security (Hub) while isolating workloads (Spoke). It allows for better traffic inspection through Azure Firewall and cost savings via shared resources.

DevOps & Infrastructure as Code

Terraform allows us to define your Azure environment as code. This makes deployments 100% repeatable, version-controlled, and eliminates "manual configuration drift."

Technical Insights & FAQ

Generative AI & IBM Watson

How does Watsonx.ai integrate with ServiceNow for ticketing?

What is RAG (Retrieval-Augmented Generation) in Azure?

Azure Architecture & Migration

How do you handle Zero-Downtime migrations for SQL/Oracle?

What are the benefits of Hub-and-Spoke networking?

DevOps & Infrastructure as Code

Why implement Infrastructure as Code (IaC) with Terraform?