Cloud Computing

The safest secret is often the secret an application never has to store. Azure managed identities make that possible for many service-to-service connections by allowing an Azure workload to obtain Microsoft Entra tokens without embedding a password, client secret, or certificate in application configuration. Azure Key Vault remains essential for credentials, keys, and certificates that genuinely must exist, but its strongest production role is part of a broader identity-first design rather than a universal place to put every connection string. This topic crosses Azure administration, architecture, and identity. Candidates preparing…

Azure resilience starts with a business decision, not an availability-zone checkbox. Teams need to know which failures matter, how much downtime the workload can tolerate, how much data loss is acceptable, and how much complexity the organization is willing to operate. Only then can they choose between local redundancy, zone redundancy, backups, asynchronous replication, warm standby, active-active regions, or other recovery patterns. This is directly relevant to AZ-104 operations and AZ-305 architecture. Administrators need to configure and test services such as backup and recovery. Architects need to ensure those services…

Cloud architecture is sometimes taught as a catalog of services: compute instances, object storage, managed databases, virtual networks, queues, functions, and Kubernetes. Real architecture work is harder because those services have to become one operating system for a business. Identity affects networking. Data choices affect resilience. Security controls affect developer workflows. Performance decisions affect cost. Automation determines whether the design can be reproduced without drift. A useful cloud architect skill map therefore starts with capabilities rather than products. The architect needs enough depth in each area to recognize tradeoffs, ask…

  Modern workplaces depend on SaaS platforms for email, collaboration, storage, project work, CRM, development, analytics, and many other functions. Administration therefore extends beyond creating user accounts. Organizations need consistent governance for application ownership, identity integration, data sharing, endpoint access, configuration, audit, lifecycle, and offboarding across a growing SaaS estate. Start with an application inventory and owner You cannot govern SaaS applications you do not know exist. Maintain an inventory with business owner, technical owner, identity method, data classification, user population, licensing model, integration dependencies, and renewal information. Large SaaS…

  Segmentation divides a network into policy boundaries so that compromise, mistakes, and unnecessary communication do not spread freely. Traditional segmentation often uses VLANs, subnets, routing, and firewalls. Microsegmentation applies finer-grained policy closer to workloads, identities, or applications. Both approaches serve the same core purpose: limit reachability to what the business actually requires. Start with communication requirements Before creating segments, map which users, systems, applications, and services need to communicate. Identify direction, ports or protocols, data sensitivity, administrative ownership, and dependencies such as DNS, identity, logging, backups, and monitoring. Segmentation…

Cloud security becomes easier to reason about when it is treated as a layered control system rather than a catalog of security products. Every cloud workload has identities, networks, data, compute or application workloads, management interfaces, telemetry, and governance requirements. A weakness in any one layer can undermine controls elsewhere. Strong security therefore comes from understanding how those layers interact and where responsibility sits between the cloud provider, the customer, and any managed service involved. The control layers are useful because they separate different security questions. Identity controls who may…

  High availability is the ability of a workload to continue delivering an acceptable service when individual components fail, maintenance occurs, or demand changes unexpectedly. It is not a product feature that can be switched on once and forgotten. Availability emerges from architecture, configuration, operational practice, monitoring, testing, and the assumptions a team makes about failure. Cloud platforms make redundancy easier to obtain, but they do not remove the need to design for it. A highly available service must avoid single points of failure, spread critical capacity across independent fault…

Cloud platforms make it easier to copy data, automate infrastructure, and deploy resources in multiple locations, but those capabilities do not automatically create a disaster-recovery strategy. Disaster recovery begins with business objectives: how long a service can be unavailable, how much recent data can be lost, which dependencies must recover together, and how much the organization is prepared to spend to meet those targets. The central planning terms are recovery time objective and recovery point objective. RTO is the maximum acceptable delay between disruption and restoration. RPO is the maximum…

  Cloud service models are different ways of dividing responsibility between a provider and the organization using the service. The labels IaaS, PaaS, SaaS, and serverless are useful only when they help you answer practical questions: what must your team build, secure, patch, scale, monitor, troubleshoot, and pay for, and what does the provider operate on your behalf? Choosing the right model is not a contest in which the most managed service always wins. More abstraction can reduce operational work and speed delivery, but it can also reduce low-level control,…

  Cloud storage is not one service with several pricing tiers. Object, block, and file storage expose different interfaces, performance characteristics, consistency models, scaling patterns, and application assumptions. Choosing the wrong model can create poor performance, unnecessary cost, difficult migrations, or operational complexity even when the storage service itself is reliable. The simplest distinction is how applications address data. Object storage manages self-contained objects in a flat or logically organized namespace through APIs. Block storage presents raw volumes that an operating system can format and use like disks. File storage…

Identity has become the control plane of cloud infrastructure. Almost every meaningful action—creating a resource, reading data, deploying an application, assuming a role, rotating a key, modifying a network, or viewing a log—depends on an identity being authenticated and authorized. That makes identity design one of the highest-leverage parts of cloud security. The difficult part is not learning the names of IAM products. It is learning how to express who should be allowed to do what, against which resources, under which conditions, and for how long. AWS IAM, Microsoft Entra…

  Cloud elasticity is easy to describe and surprisingly easy to misuse. A cloud platform can add and remove compute quickly, but a reliable scaling design still depends on understanding demand, resource limits, application behavior, startup time, dependencies, and the signals that actually represent pressure on the system. Capacity planning asks how much resource a workload needs under expected and exceptional conditions. Autoscaling turns part of that plan into an automated control loop. The two belong together. Autoscaling without capacity planning often reacts to the wrong signal or hits hidden…

  Cloud cost management is not a monthly exercise in finding expensive virtual machines. It is an operating discipline that connects technical usage, financial accountability, architecture decisions, and business value. FinOps gives teams a way to make those connections continuously. Engineers need timely cost signals. Finance needs understandable forecasts and allocation. Product owners need to know whether spending is producing useful outcomes. Leaders need governance that reduces waste without turning the cloud back into a slow approval process. The central idea is simple: cloud cost should be visible, attributable, explainable,…

Cloud migration is rarely one technical move repeated across every application. An estate usually contains easy candidates, fragile legacy systems, commercial products, databases with hard dependencies, workloads that should be retired, and applications that need redesign before they can benefit from cloud services. Treating all of them the same is how migration programs become slow, expensive, and risky. A practical planning model is the “7 Rs.” AWS currently describes the seven strategies as retire, retain, rehost, relocate, repurchase, replatform, and refactor or re-architect. Other providers use similar language with small…

A landing zone is the part of cloud architecture that answers the questions application teams should not have to solve independently every time they deploy something new. Where should the workload live? Which identity system applies? How is networking connected? Which logs are mandatory? Which regions are allowed? How are budgets, keys, policies, and security controls inherited? That makes a landing zone less like a single environment and more like an organizational foundation. Microsoft describes Azure landing zones as a proven architecture for governing, securing, and scaling multi-subscription environments. Google…