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Cloud, Data & Reliability
Cloud done deliberately, not accumulated
Most cloud environments were not designed. They grew, one urgent decision at a time, until nobody could explain the bill or the blast radius.
- Engagement
- Assessment then project or managed service
- Typical timeline
- 4–16 weeks depending on scope
- Delivered across
- All 50 US states
Overview
Cloud infrastructure rewards architecture and punishes drift. Environments that grew organically typically show the same pattern: over-provisioned instances running at 8% utilization, orphaned resources nobody will delete without knowing what breaks, security groups opened during an incident and never closed, and no reliable way to recreate any of it.
We design and rebuild environments as code. Everything defined in Terraform, every change reviewed, every environment reproducible. That converts infrastructure from institutional memory into a versioned artifact — which makes disaster recovery, environment cloning and compliance evidence straightforward rather than heroic.
Cost work is usually the fastest return. Right-sizing, storage tiering, reserved capacity and killing unused resources routinely cut bills 30–50% with no performance impact, which frequently pays for the entire engagement.
- Typical cloud spend reduction from optimization
- 30–50%Typical cloud spend reduction from optimization
- Infrastructure defined as reproducible code
- 100%Infrastructure defined as reproducible code
- Disaster recovery with measured RTO and RPO
- TestedDisaster recovery with measured RTO and RPO
Business benefits
What cloud solutions changes for you
The reasons this work earns its budget, stated as outcomes rather than features.
Infrastructure as code
Every resource defined in Terraform and version-controlled, so environments are reproducible and changes are reviewable.
Cost brought under control
Right-sizing, commitment planning, storage lifecycle and waste elimination, with per-team tagging so spend has an owner.
Security baseline enforced
Network segmentation, least-privilege IAM, encryption, secrets management and continuous configuration scanning.
Recovery actually tested
Backup, replication and failover with documented objectives and rehearsals — an untested recovery plan is a hypothesis.
Scaling that follows demand
Autoscaling and managed services tuned to real traffic patterns so capacity tracks load in both directions.
Migration without the outage
Phased migration with parallel running, tested cutover and rollback plans, sequenced by risk rather than convenience.
Problems solved
If any of this sounds familiar
These are the situations clients describe in the first conversation, and what we do about each.
“Our cloud bill grows faster than our business.”
Cost analysis by service and team, then right-sizing, commitment purchases and waste removal — commonly a 30–50% reduction.
“Nobody can recreate our production environment.”
Codify existing infrastructure in Terraform, then use it to stand up identical staging and DR environments.
“We failed a security assessment on cloud configuration.”
Baseline against CIS benchmarks, remediate findings, and add continuous scanning so drift is caught rather than accumulated.
“Traffic spikes take the site down.”
Load testing to find the real limit, then autoscaling, caching and queueing designed against your actual traffic shape.
Our process
How we deliver it
Each stage has a defined output, so you always know what you are getting and when.
- 01
Assessment
Current architecture, cost breakdown, security posture and reliability gaps documented with prioritized findings.
- 02
Target architecture
Design covering networking, compute, data, security and cost model, with a migration or remediation sequence.
- 03
Codify
Infrastructure as code, CI/CD pipelines and environment parity established before major changes are attempted.
- 04
Migrate or remediate
Phased execution with testing at each stage, parallel running where warranted, and rollback available throughout.
- 05
Operate
Monitoring, alerting, cost governance, patch management and periodic architecture review.
Technologies used
The tools behind the work
Chosen for maintainability and hiring depth rather than novelty. We will justify any choice on request, and we avoid technology that makes you dependent on us.
- AWS
- Azure
- Google Cloud
- Terraform
- Kubernetes
- Docker
- GitHub Actions
- Datadog
- Cloudflare
Industries served
Where this work lands most often
Sector context changes what good looks like. These are the industries where we have delivered this service repeatedly.
Why Mova
What working with us on cloud solutions is like
The same commitments apply to every engagement, regardless of size or service.
A defined first step
We scope a fixed-price starting point so you can evaluate us on cloud solutions before committing to a program.
Senior people, named
The team you meet is the team that delivers. You will know exactly who is accountable.
You own the output
Code, accounts, files and documentation are yours from day one, with no lock-in of any kind.
Measured, then reported
We baseline before starting and report against it honestly — including the months that fall short.
Questions
Cloud Solutions: common questions
The questions we are asked most about cloud solutions, answered directly.
AWS for breadth and ecosystem, Azure where you already run Microsoft identity and licensing, Google Cloud for data and ML workloads. The differences matter less than the quality of your architecture, and existing team skills should weigh heavily.
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Next step
Ready to talk about cloud solutions?
Thirty minutes with someone who has delivered this work. We will tell you what it would take, roughly what it would cost, and whether Mova is the right fit.
No pitch deck. A 30-minute conversation about what you are trying to achieve.