Every Azure subscription I’ve worked with has the same problem: connection strings with embedded credentials in appsettings.json, Service Principal secrets checked into Git history, storage account keys hardcoded everywhere. The credential sprawl is real. These aren’t careless developers. These are smart people applying on-premises patterns where they don’t belong. Azure Managed Identity flips the model entirely. Instead of your application proving identity by presenting a secret, Azure proves identity on your application’s behalf through cryptographic attestation. No secrets in code. No credentials in configuration. No rotation ceremonies. The Azure SDK’s DefaultAzureCredential handles authentication automatically, working identically in local development and production. Combined with RBAC, you scope permissions to exactly what each application needs. Not Contributor-level access to the entire subscription. Just the specific operations on specific resources that the application actually requires. This article walks through credential anti-patterns I encounter constantly, then shows the correct implementation using Bicep and .NET’s DefaultAzureCredential. The migration path is pragmatic: within weeks, not months, you can have zero static credentials in your codebase.
Your organization has a thorough vendor approval process. Procurement forms. Security questionnaires. Legal reviews lasting months. Then your developers run npm install and pull 247 packages from strangers on the internet—and nobody blinks. That’s the supply chain security paradox most teams live with daily. This guide shows you how to implement Dependabot, dependency review, and SBOM generation as the defensive controls they should be—not as checkbox compliance theater.
Your PM thinks erasure is a quick database DELETE. Three weeks later, you’ve found user data in seventeen places: production DB, analytics warehouse, Redis cache, Elasticsearch, backup tapes, and that legacy system nobody dares touch. “Delete” actually means orchestrating coordinated erasure across distributed systems, maintaining audit trails, notifying third parties, and proving it worked. This guide shows the fatal patterns I’ve seen fail spectacularly, then walks through proper orchestration with Azure Durable Functions, soft-delete with anonymization, verification checks, and immutable audit logs.
Running AKS at 1,000+ nodes exposes hard limits in etcd, networking, observability, and cost that never appear in vendor documentation. This article shares operational lessons from mega-cluster deployments: where the scaling cliffs are and how to plan around them before production outages force your hand.
Manual portal configuration creates audit nightmares. When auditors ask “Show me your change control process,” clicking through Azure Activity Logs won’t save you. Here’s how Bicep turns infrastructure into auditable code—where Git history becomes your compliance evidence and pull requests become your approval workflow.
