Cloud Engineering Services.

What is cloud engineering?

Cloud engineering is the discipline of running applications on rented infrastructure deliberately: environment topology, networking, identity, cost controls, availability and the automation that keeps all of it repeatable. Neovantra helps teams move workloads to AWS, Azure or Google Cloud, and — just as often — repair environments that grew organically after an initial lift-and-shift.

Done well, cloud work shows up as shorter provisioning time, predictable monthly spend, recovery you have actually tested, and changes that can be rolled back without a war room.

When teams engage us

Triggers include an on-premises data centre renewal that forces a decision, an audit that finds no tested backups, or an estate where every environment is manually configured and therefore different. Other times a product is scaling and single-region design, unbounded storage growth or an ageing database is starting to show in latency and cost reports.

We start with what exists: an account and network inventory, data flows, dependency map, spend breakdown and a risk register. That artefact usually pays for itself before any migration begins, because it exposes duplicate services, idle resources and access no one owns.

Migration approach

Most workloads are classified rather than treated as one programme: rehost for what is cheap to move and low-risk, re-platform where managed services remove operational burden, refactor where the business case justifies it, or retire where the system has no remaining owner. Waves are sequenced by dependency, and each wave has a rehearsal, a cutover plan, a validation script and a rollback route agreed before the weekend it happens.

Data moves are validated with row counts, checksums and reconciliation reports signed off by the business owner — not by whoever ran the script.

Landing zone, identity and network design

We deliver infrastructure as code — Terraform modules or the cloud's native tooling — describing accounts, VPCs or VNETs, subnets, gateways, security groups, logging and identity federation. Workloads run in separate environments with separate credentials; humans authenticate through SSO with multi-factor authentication; roles are least-privilege and short-lived keys replace static ones. Private endpoints keep traffic off the public internet wherever the platform allows it.

Cost, resilience and observability

FinOps practice is part of the build: budgets and alerts per environment, tagging standards that make spend attributable to a team or feature, rightsizing from measured utilisation, and reserved or savings-plan coverage for steady-state load. Resilience is designed against a written recovery objective rather than assumed — backup schedules, retention, cross-zone or cross-region replication and a restore test performed on a schedule.

Observability covers metrics, logs and traces with dashboards keyed to the user journey, alert thresholds tied to runbooks, and ownership assigned for each alert so pages reach someone who can act.

What you receive

A documented landing zone, versioned infrastructure code, environment build instructions, a cost report with recommendations, a tested backup and recovery procedure, architecture diagrams, a migration log for anything moved and a written operating guide for your team — kept in your repositories.

Timelines and commercial models

Assessment and landing-zone work usually takes three to six weeks; a production migration of a modest estate commonly runs two to four months depending on data volume and regulatory review. Fixed-price works well for assessment and landing zones, while migration waves are often run as a dedicated team with a wave-based plan. Ongoing cloud optimisation can continue as a monthly retainer with a defined hours budget.