Heroku to Azure Container Apps migration was not a sudden decision for me—it was a slow, expensive drift apart. I need to have a conversation with myself about the moment I finally broke up with Heroku. For years, Heroku was…
Auth0 to Azure AD B2C was not a decision I took lightly. This article explains the one feature that forced the switch, reduced identity costs, and unlocked enterprise-level customization.I need to have a conversation with myself about the invoice that…
Jenkins to Azure DevOps CI/CD pipeline comparison CI/CD comparison Moving from Jenkins to Azure DevOps was not a sudden decision—it was the result of years of fighting fragile pipelines, plugin failures, and security risks.I need to be honest with myself.For…
MongoDB Atlas vs Azure Cosmos DB is a comparison I never expected to make—until real-world latency and global scale forced my hand.I need to have a conversation with myself about the last eighteen months of my architectural life. About why…
Datadog to Azure Monitor was not a migration I planned-but one I was forced into after seeing our monthly monitoring bill.I need to have a conversation with myself about the moment my finance director slacked me a screenshot of our…
Why we switched from Google Cloud AI to Azure OpenAI Service—native Azure AD, private endpoints, compliance, and built-in filtering for enterprises.
Discover how Azure Durable Functions simplify AWS Lambda workflows—cut code, reduce services, and handle stateful orchestration and approvals with ease.
As I learned the hard way at 3 AM during a production incident, monitoring AI agents is fundamentally different from traditional applications. Today, I’m sharing my journey building observability into Azure AI Agents, transforming them from black boxes into transparent, debuggable systems.