Cloud architecture and design
We map your workloads to the right services, network topology, and account structure before anything gets provisioned. The result is an architecture document your team can actually maintain.
001Cloud
Cloud infrastructure your business software can rely on
We design, build, and run cloud environments for the internal systems your company depends on: ERPs, portals, data pipelines, and custom line-of-business applications. For CTOs and operations leaders, that means infrastructure planned by the same senior engineers who build the software that runs on it, so architecture, cost, and security decisions are made together instead of in separate silos.
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What we do
What our cloud work covers
From a first migration to day-two operations, we handle the full lifecycle of your cloud footprint on AWS, Azure, or Google Cloud.
Migration from on-premise or legacy hosting
We move existing systems to the cloud in planned stages, with rollback paths at each step. Databases, file stores, and integrations come along without a big-bang cutover.
Cloud-native application development
We build new internal applications on managed services, containers, and serverless where it fits, so you pay for what you use and patch less infrastructure yourself.
Infrastructure as code and CI/CD
Every environment we build is defined in code, typically Terraform, and deployed through pipelines. Staging matches production, and changes are reviewed like any other pull request.
Security and access control
We set up identity, network isolation, secrets management, and encryption as part of the build, not as an afterthought. Least-privilege access is the default for people and services alike.
Cost management and operations
We instrument monitoring, alerting, and cost reporting so you can see what each system spends and why. Right-sizing and reserved capacity reviews keep the bill predictable.
How we work
How a cloud engagement runs
(4)- 1
Audit and target architecture
We review your current systems, traffic, data, and compliance needs, then propose a target architecture with a cost estimate. You see the plan and the tradeoffs before committing.
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Foundation build
We stand up the accounts, networking, identity, and pipelines that everything else will sit on, all defined in code. This foundation is reviewed with your team before workloads move.
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Migration or build in stages
Workloads move or ship one at a time, lowest risk first, each with its own testing and rollback plan. Your users keep working while the transition happens.
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Handover or managed operations
We document the setup, train your engineers, and either hand over the keys or stay on for monitoring, patching, and incident response. The choice is yours, and it can change later.
Why Webisoft
Why teams pick us for cloud work
Cloud projects fail on details: an unplanned dependency, a misconfigured permission, a bill nobody forecast. Our approach is built around catching those early.
Builders, not just operators
The engineers designing your infrastructure also write production software. They understand what the application needs from the platform, which shows in the architecture.
Everything in code, everything reviewed
No hand-configured consoles and no undocumented changes. Your infrastructure lives in a repository your team can read, audit, and modify.
Cost is a design constraint
We treat your monthly bill as a requirement, not a surprise. Estimates come with the architecture, and we flag drift before it compounds.
Senior people on the work
You work directly with experienced engineers, not a rotating bench. The person who designed your environment is the one you call when a question comes up.
FAQ
Common questions about cloud projects
(4)- There is no universal winner. The right choice depends on existing tooling, team skills, workload characteristics, and any enterprise agreements already in place. AWS has the broadest service catalog, Azure integrates tightly with Microsoft environments, and Google Cloud is strong in data and Kubernetes workloads. Multi-cloud is possible but often adds operational cost without adding value, so it should be chosen for a concrete reason rather than as a default.
- Usually yes. Zero or near-zero downtime migrations rely on staged migration, data replication, and cutover windows planned around business operations. Techniques such as running old and new environments in parallel and switching traffic gradually reduce risk further. Where a brief maintenance window is unavoidable, it should be scheduled and communicated precisely before the migration starts, not discovered during it.
- Cost control starts at the design stage with upfront estimates, not after the first surprising bill. Standard practices include tagging every resource so spend maps to systems and teams, setting alerts for anomalies, and running regular reviews of right-sizing, storage tiers, and reserved or committed-use capacity. With that discipline, the bill tracks actual usage instead of drifting upward from forgotten resources.
- Post-migration needs vary by team. Organizations with in-house ops capacity often take a full handover with documentation and training, while others outsource monitoring, patching, and incident response. In either model, the organization should own its cloud accounts, code, and documentation outright, so switching support arrangements later never requires renegotiating access to its own infrastructure.
Cloud Capabilities
Where We Add Value in Cloud Engineering
We design, build, and operate cloud platforms on AWS, Azure, and GCP for teams that need infrastructure to be predictable, auditable, and cheap enough to defend at budget review. These are the areas where our work changes outcomes.
Infrastructure as Code
Every environment we build is defined in Terraform or Pulumi, reviewed in pull requests, and applied through CI rather than a console. That gives you reproducible staging and production, a full change history, and the ability to rebuild a region from scratch. Drift detection catches manual changes before they become incidents.Kubernetes and Containers
We run workloads on EKS, AKS, GKE, or plain ECS when a full cluster is overkill, and we will tell you which one your team can actually operate. Deployments use Helm or Kustomize with progressive rollout and automatic rollback on failed health checks. We size clusters against real traffic profiles instead of defaults.Cloud Migration
We move legacy workloads with a per system decision: rehost, replatform, or rewrite, based on change frequency and business risk rather than a blanket strategy. Cutovers run behind traffic mirroring or blue green switches so rollback is a routing change. Data migration is rehearsed against production sized copies before the real event.Cost Architecture
We treat cloud spend as an engineering input, not a finance afterthought. That means right sizing from utilization data, spot and reserved capacity where workloads tolerate it, storage lifecycle policies, and tagging that maps every dollar to a team or product. Buyers get a monthly cost model they can challenge line by line.Security and Compliance
We build to least privilege from the first commit: IAM boundaries per service, secrets in a managed vault, encrypted transit and rest, and network segmentation by default. For SOC 2, HIPAA, or ISO 27001 contexts we map controls to concrete infrastructure evidence so audits pull from logs, not memory.Observability and SRE
We instrument services with OpenTelemetry and wire metrics, logs, and traces into Datadog, Grafana, or CloudWatch depending on your stack. Alerts are tied to user facing symptoms with defined severity and runbooks, so on call engineers act instead of triaging noise. SLOs make reliability a number you can negotiate.
How We Work
How a Cloud Engagement Runs
(4)- 1
Assessment and Target Architecture
We start with a two to three week review of your current workloads, spend, and constraints, interviewing the engineers who operate the systems today. The deliverable is a target architecture, a migration or build order ranked by risk, and a cost model for the end state. You can take that document to another vendor and it still holds up. - 2
Landing Zone and Foundations
Before any workload moves, we stand up the foundation: account or subscription structure, network topology, identity, guardrails, and the CI pipeline that deploys infrastructure. This phase is where compliance requirements get encoded as policy, so later teams inherit controls instead of retrofitting them. - 3
Migration or Build in Waves
Workloads move in small waves, lowest risk first, each with its own rollback plan and success criteria agreed before cutover. We pair with your engineers during each wave so knowledge transfers as the work happens, not in a handover deck at the end. Every wave ends with a review that adjusts the plan for the next one. - 4
Operate, Optimize, Hand Over
After go live we stay through a stabilization window, tuning autoscaling, alert thresholds, and cost against real traffic. The engagement ends with your team running the platform: documented runbooks, on call rotation in place, and a backlog of optimizations ranked by savings. Ongoing support is available but never assumed.
FAQ
Cloud Questions Buyers Actually Ask
(6)- Three things dominate: the number of distinct workloads, how much of the existing system is undocumented, and the compliance regime. A stateless web application replatforms in weeks, while a database with unclear ownership and nightly batch dependencies can take months to move safely. Compliance adds cost mostly through evidence and review cycles, not technology. We give a ranged estimate after assessment and narrow it after the first wave, because the first wave always reveals what the documentation missed.
- We start from your existing contracts, your team's experience, and any data residency or regulatory constraints, because those usually decide it before feature comparisons matter. If it is genuinely open, we weigh managed service fit for your workloads, regional availability, and negotiated pricing. Multi cloud is worth it for specific regulatory or resilience reasons, not as a default posture, since it roughly doubles operational surface. We are not a reseller for any provider, so the recommendation is not commission driven.
- For most systems, yes, using replication, dual writes, or traffic shifting so the old and new environments run in parallel during cutover. The honest exceptions are systems with single writer databases that cannot replicate across environments, where we schedule a short maintenance window and rehearse the cutover to keep it minutes long. We define the downtime budget with you up front and design the migration to fit it, rather than discovering the constraint mid project.
- We encode controls into the infrastructure itself: policy as code guardrails, centralized audit logging, encryption defaults, and access through short lived credentials. That means audit evidence is generated continuously rather than assembled in a scramble before the audit. We work alongside your compliance owner or auditor and map each control to the specific resource and log that proves it. What we do not do is issue certifications ourselves, we build the environment that passes them.
- Usually, yes. The first pass is measurement: tagging, utilization data, and identifying idle or oversized resources, which alone commonly cuts a meaningful share of spend. The second pass is commitment strategy, storage tiering, and scheduling for non production environments. Deeper savings sometimes require architectural change, like moving chatty services closer together or replacing an always on component with a serverless one, and we will tell you when the fix crosses that line so you can decide with real numbers.
- The first step is a scoping call, then a short assessment where we read your architecture, spend data, and incident history and interview your engineers. By the end of the first month you have a target architecture, a prioritized plan with estimates, and a cost model, all of which you own regardless of whether we execute it. If we proceed, the landing zone work starts immediately after, so there is no gap between planning and visible progress.
