Category Archives: Microsoft

Microsoft Fabric is easiest to understand when it is treated as an engineering system rather than a menu of workloads. OneLake provides the shared data layer; Data Factory handles batch orchestration and movement; Real-Time Intelligence handles event-driven ingestion and analytics; Warehouse and Lakehouse expose different execution models; and governance spans workspaces, domains, item permissions, OneLake […]

Cloud cost data becomes useful only when technical consumption can be connected to a person, product, environment, or business decision. A monthly total for Azure usage and expenses within a subscription may be numerically correct and still be operationally weak: it can tell finance what was charged without telling engineering which workload changed, who owns […]

A team with years of Azure Resource Manager JSON templates may reasonably prefer to keep using them. The files already work, deployment behavior is understood, and automation depends on them. A new team may look at the same problem and choose Bicep because the syntax is shorter, type checking is better, modules are easier to […]

Azure Site Recovery is easiest to misunderstand when “replication” and “recovery” are treated as the same thing. Replication gets workload state to a recovery location. Recovery requires the target compute, networking, identity, DNS, dependency order, and validation steps to work when the primary environment is unavailable. A recovery sequence for AZ-104 administrators runs through distinct […]

Azure Backup makes more sense when a vault is treated as part of a recovery system rather than as a container full of backups. The protected workload, backup policy, recovery points, vault settings, storage redundancy, security controls, restore method, and operator permissions all influence whether a recovery can actually succeed. Matching a vault to a […]

A Log Analytics workspace looks simple when it is drawn as one box labeled “logs.” The architecture becomes difficult only after real constraints arrive: several Azure regions, separate Microsoft Entra tenants, security data, operations data, regulated workloads, chargeback, different retention needs, and teams that disagree about who should be able to query what. Creating a […]

Azure Monitor troubleshooting gets slower when operators treat every signal as equally authoritative. A CPU chart, a log query, an alert notification, and an application complaint are all evidence, but they answer different questions. The useful habit is to start with the symptom, establish a baseline, and ask which signal can falsify the most hypotheses […]

Azure Bastion is often described as a way to RDP or SSH to virtual machines without assigning those VMs public IP addresses. That is accurate, but it understates the operational change. Bastion inserts a managed administration path between the operator and the workload. The design can reduce direct internet exposure, but it also creates dependencies […]

Azure Load Balancer and Azure Application Gateway can both distribute traffic across healthy backends, but that common outcome hides a fundamental difference. Load Balancer makes decisions at layer 4 using TCP or UDP flow information. Application Gateway operates at layer 7 for web protocols and can understand HTTP concepts such as host names, URL paths, […]

Azure DNS becomes confusing when “the DNS server” is treated as one box that either knows a name or does not. In Azure, name resolution can involve public DNS zones, private DNS zones, VNet links, automatic registration, Azure-provided resolution, custom DNS servers, Private Resolver, conditional forwarding, Private Endpoints, and cached answers. The same FQDN can […]

Private Endpoints and service endpoints are often presented as two ways to “secure access to Azure PaaS,” which makes the decision sound like a feature comparison. The more useful distinction is where the network boundary moves. A service endpoint keeps the Azure service on its public endpoint while extending virtual-network identity to the service. A […]

An Azure network security group can be configured exactly as intended and still fail to provide the security boundary the architecture claims. The rule may be attached at the wrong scope, an application security group may not contain the interfaces the team assumes, a higher-level security admin rule may change evaluation, or the protected workload […]

Virtual network peering usually fails long before anyone creates the peering connection. The failure begins when address spaces are chosen independently, when hub-and-spoke routing is assumed to be transitive, when a firewall path is drawn only in one direction, or when a future acquisition introduces prefixes that collide with everything already deployed. By the time […]

Azure Container Instances and Azure Container Apps can both run a container image without asking a team to manage virtual machines, but they solve different operational problems. The confusing part is that a trivial demo can make them look interchangeable: point either service at an image, provide CPU and memory, and start a container. The […]

App Service makes deployment look deceptively simple: publish code, watch the application start, and scale the plan when traffic grows. Production safety is harder. The real system includes the build artifact, configuration, deployment slots, application dependencies, the App Service plan, routing, monitoring, rollback, and the people who are allowed to move a change into production. […]