Azure Cloud Platform and Services

Microsoft Azure is a comprehensive cloud platform providing infrastructure, platform, and software services for building modern applications. This collection covers Azure services, deployment patterns, cost optimization, and practical cloud architecture decisions for organizations adopting Azure.

Azure Services and Strategic Use

Azure encompasses hundreds of services spanning compute, storage, networking, databases, AI/ML, integration, and analytics. Effective cloud architects understand not just what services exist, but when to use them and when alternatives are more appropriate.

Compute Services range from virtual machines for lift-and-shift migrations, to App Service for web applications, to container services and serverless options. The choice depends on workload characteristics, team expertise, and operational requirements.

Data Services include relational databases, NoSQL options, data warehousing, and analytics platforms. Each makes specific trade-offs about consistency, scalability, query patterns, and operational complexity.

Integration and Messaging services connect applications, enable asynchronous workflows, and support event-driven architectures.

Cloud Adoption and Operations

Articles in this section cover Azure service selection, infrastructure as code with Bicep and Terraform, cost management strategies, security and compliance, and operational patterns for production Azure workloads. Topics include migration strategies, hybrid scenarios, and designing for Azure’s specific capabilities.

The emphasis remains practical: understanding Azure options, making informed architectural choices, and avoiding vendor lock-in decisions made without deliberation.

"We Store Secrets in appsettings.json": A Horror Story in Five Acts

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.

"Just Delete the User": Famous Last Words Before the GDPR Audit

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.

AKS at Scale: Hard-Won Lessons from 1000+ Node Clusters

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.

Why Your Azure Portal Clicks Will Fail the Next Audit

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.

Hybrid AKS: Bridging Cloud and On-Prem with Azure Arc

Most organizations run Kubernetes across cloud and on-prem simultaneously. This article covers practical patterns for hybrid AKS: ExpressRoute and VPN connectivity, Azure Arc for unified management, consistent policy enforcement, DNS resolution, and identity federation without duplicating systems.

Green Dashboard, Dead Application

Your application just crashed in production. Azure App Service kept routing traffic to the failing instance for ninety seconds. Users saw timeouts. Your monitoring dashboard stayed green because the web server responded with HTTP 200 while the database connection pool was exhausted.

I’ve watched this exact scenario play out at three different organizations in the past year. Each time, the post-mortem revealed the same root cause: health checks that verified the process was breathing without checking whether it could actually do its job. ISO/IEC 27001 Control A.17.2.1 exists precisely for this reason—availability is a security control, not an operational afterthought.

Your Azure SQL Backups Won't Save You (Here's Why)

“We have backups” is the IT equivalent of “thoughts and prayers.” Comforting words that mean nothing when disaster strikes. I’ve watched teams discover their Azure SQL Database backups expired just before an audit, or worse, during an actual outage. The default seven-day retention feels generous until you need data from day eight.

Compliance standards demand information backup in cloud environments, but no standard can enforce what most teams ignore: actually testing those backups. The gap between “we configured backups” and “we can restore our data” has ended careers and companies. This isn’t about checking compliance boxes. It’s about whether your business survives the next outage.

AKS Disaster Recovery: Why Your Untested Backup Will Fail

Your cluster will fail. The question is not if, but when, and whether you can recover before customers notice. Most organizations discover their backup strategy does not work during an actual outage, when recovery time matters most and manual heroics cannot save you.

If you run Azure Kubernetes Service (AKS) in production, you need a recovery plan that engineers can execute half asleep at 2 AM. We will go through what to back up, how Velero works in day-to-day operations, when Azure Backup for AKS is enough, and how to design realistic failover with measurable Recovery Time Objective (RTO) and Recovery Point Objective (RPO).

The goal is simple: repeatable recovery procedures you have already tested, not a document that looks good in Confluence but fails during an incident.

Nobody Runs Your Cleanup Script (And Regulators Know It)

“Storage is cheap” — until your data retention strategy becomes evidence in a GDPR lawsuit.

After 15+ years in enterprise software, I’ve seen this pattern in project after project: elaborate wiki documentation, a cleanup script nobody runs, and production databases growing exponentially with personal data that should have been deleted years ago. The compliance checkbox is marked, but the actual deletion never happens.

When regulators investigate, they don’t want your policy documents. They want execution logs proving deletion actually happened. Azure Storage lifecycle policies, Cosmos DB TTL, and scheduled Functions give you exactly that — automated retention that runs without human intervention, with full audit trails.

Container Registry & Image Security in AKS Deployments

Securing Azure Container Registry for AKS needs more than a single control. This guide walks through a production-ready sequence: vulnerability scanning, image signing, RBAC, private endpoints, policy enforcement, and geo-replication. You get practical Terraform, Kubernetes, and pipeline patterns, plus clear trade-offs for real-world operations.

Your TLS Config is Probably Wrong: Five Audit Failures I Keep Finding

Production systems with HTTP endpoints wide open and TLS 1.0 enabled for backward compatibility that died in 2020 are still everywhere. If auditors haven’t flagged your encryption config yet, they will. This guide shows the fatal configurations that fail security audits and the Azure Front Door patterns that actually pass.

Multi-AKS Cluster Networking & Hub-Spoke Topology

Running more than one AKS cluster changes networking from a setup task into an operating model. This guide covers practical connectivity patterns, hub-spoke routing, cross-cluster DNS, ingress options, and decision criteria that help teams scale safely without adding complexity too early.