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Cloud

Microsoft Azure for Infrastructure Engineers

Azure is where a lot of infrastructure engineers land when their organization runs Microsoft workloads on-premises — Active Directory, Windows Server, SQL Server, System Center. The tooling and identity model feel familiar, but the cloud-native patterns still require a mindset shift. I've mapped the core Azure services to their traditional infrastructure equivalents, outlined the subscription and IAM model, and highlighted the areas that trip up engineers coming from VMware and on-premises Windows environments. Read the full guide: Azure If you're already running Entra ID (formerly Azure AD) on-premises, that's your fastest on-ramp — hybrid identity is where Azure earns its place in most enterprise shops.

Google Cloud Platform for Infrastructure Engineers

Google Cloud Platform provides compute, networking, storage, and managed services with a strong focus on automation and Kubernetes. For infrastructure engineers, the learning curve starts with projects, IAM, VPC design, and Compute Engine operations. I've organized the core service map, a certification-aligned learning path, and the mindset shifts that matter when moving from on-premises habits to GCP. Read the full guide: GCP Even when production stays on-premises, GCP skills help with DR targets, test environments, and container strategy.

AWS Fundamentals for Infrastructure Engineers

AWS is often the first public cloud platform infrastructure engineers encounter when workloads move beyond traditional data centers. Understanding EC2, VPC, IAM, S3, and the hybrid connectivity model makes migration and day-two operations much easier. I've mapped traditional infrastructure concepts to their AWS equivalents and outlined a phased migration pattern that reflects how most enterprises actually move workloads. Read the full guide: AWS Start with IAM and VPC design — those decisions are the hardest to unwind later.