The most expensive Azure DevOps and IaC pitfalls

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Common pitfalls when working with Microsoft Azure: what really needs attention

Microsoft Azure is one of the most powerful cloud platforms available. It enables rapid scaling, high service availability and integration with modern DevOps and AI tools. In practice, however, many projects encounter the same recurring problems, creating unnecessary costs, reducing performance or introducing security risks.

Below are the key areas that deserve particular attention.

1. Unpredictable infrastructure costs

The most common Azure problem concerns not the technology but its billing model. Uncontrolled autoscaling, outbound traffic, unused resources and logs can drive sharp cost increases.

Good practice: Azure Cost Management, budgets and alerts, automatic shutdown of dev/test environments, Reserved Instances or a Savings Plan.

2. Poor network and security architecture

Ill-considered configuration leads to public resources, excessive permissions and difficult audits. Key controls include VNets, NSGs, Private Endpoints, RBAC, Managed Identity and Defender for Cloud.

3. Application performance problems

Moving an application without a cloud-native approach can introduce latency and overload databases. Redis, Service Bus, CQRS and event-driven architecture can help.

4. Environment management and CI/CD

A lack of Infrastructure as Code and automated deployment leads to unstable production. Bicep/Terraform, complete CI/CD and environment separation should be standard practice.

5. Monitoring that exists only on paper

Application Insights, centralized logs and SLA alerts should work proactively, detecting problems before they affect users.

Summary

Azure offers substantial advantages when it is properly designed, secured, monitored and cost-controlled. Most problems stem from poor architectural decisions at the start of a project.