Cloud, migration & FinOps
Cloud architecture, migration and FinOps on AWS
Veraplot designs, migrates and optimises AWS environments for companies that want a secure, well-governed cloud without paying for idle capacity. We set up landing zones and infrastructure as code with CDK, SAM or Terraform, move workloads to serverless or managed services where it makes sense, and run FinOps audits that tag, right-size and remove waste. Every engagement is a fixed-price deliverable, built by senior AWS engineers.
Pay for what you use
Serverless and managed services bill per request and per second, so environments that sit idle overnight stop costing money overnight.
Everything as code
Accounts, networks, permissions and services described in CDK or Terraform: reviewable, repeatable and rebuildable if an environment is ever lost.
Secure from the first account
Least-privilege IAM, encryption, guardrails and audit logging built into the landing zone, not retrofitted after an incident.
What you get
Cost and architecture audit
A line-by-line review of your AWS bill and architecture, with savings ranked by impact and effort, and the quick wins applied.
Landing zone
A multi-account AWS Organizations setup with Control Tower, single sign-on, guardrails, centralised logging and a network baseline.
Infrastructure as code
Your environments in CDK, SAM, CloudFormation or Terraform, with GitLab CI/CD pipelines for plan, review and deployment.
Migration plan and execution
Each workload assessed (rehost, re-platform or rebuild serverless), then migrated in waves with cutover runbooks and a rollback plan.
Observability and cost guardrails
Dashboards, alerts, budgets and anomaly detection, plus a tagging policy so every euro on the bill has an owner.
The stack
Picked for your context, not for a partner badge. Open formats first, managed AWS services where they pay for themselves.
The foundations
Accounts, identity, network and guardrails
- AWS Organizations
- AWS Control Tower
- IAM Identity Center
- AWS IAM
- Amazon VPC
- AWS KMS
The blueprint
Infrastructure you can diff and review
- AWS CDK
- AWS SAM
- AWS CloudFormation
- Terraform
The engine room
Serverless first, containers when they fit better
- AWS Lambda
- Amazon ECS
- AWS Fargate
- Amazon DynamoDB
- Amazon Aurora Serverless
- Amazon S3
The pipeline
From merge request to production
- GitLab CI/CD
- GitHub Actions
- Docker
- AWS CodeBuild
The meter
Usage, cost and health in one view
- AWS Cost Explorer
- AWS Budgets
- AWS Cost Anomaly Detection
- AWS Compute Optimizer
- Amazon CloudWatch
- Grafana
Typical use cases
Serverless platform, fully as code
Automotive. A data lake built serverless-first and deployed entirely as infrastructure as code, so environments are reproducible and compute cost follows actual workload.
Hybrid cloud for a mobility platform
Transport. A hybrid cloud architecture for a mobility-as-a-service platform, running predictive models on smartphone sensor data to allocate vehicles.
Governed multi-account access
Industrial group. Cross-account Lake Formation permissions managed in CDK, giving BI and ERP consumer accounts governed access without duplicating data.
Cost audit and right-sizing
Idle instances, over-provisioned databases, forgotten snapshots and untagged spend identified, then fixed in code so the savings do not drift back.
From first call to production
- 01
Discovery call
We map your systems, constraints and the outcome that matters. You talk to the engineer who will build it, not an account manager.
- 02
Fixed-price scope
A written scope with deliverables, milestones and one price, agreed before any code is written. No day-rate meter running in the background.
- 03
Build in short iterations
Working increments every one to two weeks, demoed on your data in your AWS account. Course corrections happen early, not at the end.
- 04
Handover and optional run
Code, infrastructure as code, runbooks and a walkthrough with your team. Run it yourselves, or keep us on support month-to-month or on a 1–3 year plan.
Questions buyers ask
How is a FinOps audit priced?
As a fixed-price package, scoped by the number of AWS accounts and services involved. The fee is fixed rather than a share of the savings, which keeps our recommendations neutral: you receive the full list, ranked by impact and effort, and decide what to apply. Implementation can then be quoted separately, also at a fixed price.
How long does a migration to AWS take?
It depends on the number of workloads and how much you want to modernise along the way. An audit and migration plan takes a few weeks. Moving a handful of applications usually fits within one to three months; larger estates take three to six months, migrated in waves, each with its own cutover and rollback plan.
Serverless or containers?
Serverless first for event-driven, spiky or low-traffic workloads: Lambda, Step Functions and DynamoDB cost nothing when idle and need no patching. Containers on ECS with Fargate for long-running processes, heavy dependencies or steady high load, where per-request billing becomes expensive. Most estates end up with both, and we decide workload by workload.
CDK or Terraform?
Both work, and we use both. CDK suits teams who write TypeScript or Python and build only on AWS; it generates CloudFormation and composes well. Terraform suits multi-cloud estates or teams already invested in its ecosystem. If you already have a standard in place, we follow it rather than introduce a second one.
Will cutting costs hurt performance or reliability?
It should not, and we measure to make sure. Right-sizing is based on observed utilisation, changes are applied through code with a rollback path, and dashboards track latency and errors before and after. Many savings, such as deleting unused resources or scheduling non-production environments to stop at night, carry no performance trade-off at all.