Cloud Computing

  A cloud architect turns business and technical requirements into a system design that teams can build, secure, operate, and evolve. The role is not simply choosing cloud products. It is deciding how compute, networking, identity, data, security, resilience, and cost fit together under real constraints. The strongest architects make tradeoffs visible. They can explain why a design was selected, what could fail, how the system will be governed, and what assumptions should be tested before implementation. Start with requirements and quality attributes Architecture begins by separating hard requirements from…

  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 is easiest to understand when it is divided into the major things that must be protected: identities, network paths, data, workloads, and the control plane that configures the environment. These areas overlap, but each has different failure modes and evidence. A strong cloud design does not assume that the provider secures everything or that one perimeter control is enough. It distributes security decisions across the platform and makes those decisions visible enough to verify. Start with shared responsibility Cloud providers protect significant parts of the underlying service,…

  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…

  Disaster recovery is the discipline of restoring an acceptable level of service after an event exceeds the normal failure assumptions of a highly available design. A routine instance failure, software restart, or single-zone interruption may be handled automatically by high-availability mechanisms. Disaster recovery begins when the event is large enough that the normal production environment cannot meet the business requirement without a deliberate recovery action. Cloud platforms provide powerful building blocks for backup, replication, regional deployment, automation, traffic steering, and infrastructure reconstruction. Those capabilities are useful only when they…

  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 and access management is the control system that decides who or what can act in a cloud environment, which resources those identities can reach, and which operations they are allowed to perform. Networking may determine whether a request can arrive at a service, but IAM determines whether the requester is recognized and authorized once it gets there. Cloud IAM can look complicated because every major provider uses its own product names and policy syntax. The durable concepts are much smaller: identities, credentials, authentication, permissions, roles, policies, scope, groups,…

  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 not one technical procedure. It is a portfolio of decisions about what should move, what should change, what should stay, and what should disappear. The familiar migration strategy labels—rehost, replatform, refactor, retire, retain, and replace—are useful because they force teams to decide how much change they are willing to combine with the move. The labels are not the goal. The goal is to choose a path that balances business timing, technical debt, risk, cost, and future architecture. Begin with business reason, not destination A migration should…

  A landing zone is the prepared environment into which cloud workloads are deployed. It establishes organizational structure, identity, networking, security, governance, logging, and shared services before application teams begin building independently. The point is not to create one giant template for every workload. The point is to provide a governed starting position so teams can move quickly without reinventing the foundation or creating incompatible environments. A landing zone is an operating model as much as an architecture A diagram can show accounts, subscriptions, projects, networks, and shared services, but…

  As cloud adoption grows, one account, subscription, or project rarely remains enough. Separate environments, teams, legal entities, products, and security zones need boundaries that support both autonomy and central governance. A multi-account model is therefore not administrative clutter by default. It can be a security and operating architecture. The challenge is choosing boundaries intentionally and governing them without recreating a ticket-driven data center. Why multiple cloud containers exist Top-level cloud containers create isolation for identity, billing, quotas, policy, and resource management. Organizations commonly separate production from non-production, business units,…

  Hybrid cloud connects public cloud services with private infrastructure such as data centers, colocation facilities, factories, branches, or edge locations. It is not simply a temporary state before everything moves to cloud. For many organizations, hybrid architecture is a long-term answer to latency, regulation, hardware, legacy systems, data gravity, and operational reality. The challenge is making two environments behave like one coherent system without pretending they are identical. Hybrid begins with workload placement Decide why each workload or data set lives where it does. Some systems remain on premises…