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Cloud Engineering

Cloud engineering you can scale — and explain to auditors

Zestlan designs cloud platforms that support product delivery: landing zones, environment promotion, infrastructure as code, observability, and cost controls. Migration with rollback plans — not lift-and-shift without a runbook.

Business problems we solve

Cloud spend without ownership

Costs rise faster than usage because environments lack tags, budgets, and architectural guardrails.

Snowflake environments

Each team invents networking and identity differently. Promotion between environments is manual and risky.

Migration fear

Workloads stay on fragile infrastructure because cutover risk is undefined and rollback is untested.

How Zestlan approaches cloud platforms

We establish landing zones, IaC modules, and promotion paths so product teams deploy consistently. Observability is provisioned with the workload.

Migrations are phased with success criteria, data validation, and rollback — treated as engineering programs, not weekend projects.

Capabilities

Landing zones & account structure

Network, identity, and guardrails that match your org and compliance needs.

Cloud migration

Phased moves with parallel run, validation, and documented rollback.

Containers & Kubernetes

Runtime platforms with autoscaling policy and secure defaults.

Infrastructure as code

Reviewed modules for repeatable environments — not click-ops.

Observability & cost control

Unified logging, metrics, alerts, and allocation tags from day one.

Architecture considerations

Cloud architecture is product architecture: tenancy, data residency, blast radius, and release paths. We document trust boundaries before terraform grows unchecked.

DevOps practices (CI/CD, promotion gates) sit alongside cloud design — see our DevOps capability for delivery automation depth.

Landing zone

Identity, network, and policy baseline.

Runtime platform

Managed services or Kubernetes with autoscaling.

IaC modules

Reusable building blocks with peer review.

Observability

Logs, metrics, traces, and cost dashboards.

Technology expertise

  • AWS and Azure (primary)
  • Terraform / cloud-native IaC
  • Kubernetes and managed containers
  • Managed databases and messaging
  • Centralized logging and APM
  • Policy-as-code where required

Security

  • Least-privilege IAM and network segmentation
  • Secrets outside application repos
  • Encryption in transit and at rest as default
  • Guardrails that block unsafe account configurations

Scalability

  • Autoscaling policies tied to real demand signals
  • Multi-AZ / multi-region patterns when business requires
  • Capacity and cost models reviewed with product owners
  • Load testing before major traffic events

Development process

01

Discover

Map the business model, users, constraints, systems, compliance needs, and success metrics before architecture locks in.

02

Design

Define product experience, reference architecture, security model, data ownership, and a phased delivery plan.

03

Build

Ship in reviewed increments with CI/CD, automated checks, and transparent progress against agreed outcomes.

04

Validate

Test performance, security, and acceptance against real operational criteria — not demo scripts alone.

05

Launch

Controlled rollout with observability, runbooks, rollback paths, and stakeholder sign-off.

06

Operate

Monitor, harden, and evolve the product as usage, regulation, and business priorities change.

Relevant use cases

Greenfield product platforms

Landing zones and runtime ready for continuous delivery from the first sprint.

Migration programs

Move critical workloads with validation gates and rollback.

Cost and reliability remediation

Stabilize spend and reduce incident rate through architecture and observability.

Frequently asked questions

Discuss your cloud engineering program

Share your product, constraints, and timeline. Our architects respond within one business day with an honest assessment — no boilerplate pitch deck.