Services — Cloud Engineering

Cloud infrastructure that costs what it should and does what you need.

AWS, Azure, and GCP — architecture, migration, and ongoing optimization. 18 years of infrastructure delivery means we've seen cloud bills that shocked CFOs and architectures that buckled under load. We prevent both.

See our cloud work
600+Products delivered
40%Average cloud cost reduction
99.99%Uptime SLA achieved

Why teams choose us

Cloud should get cheaper as you scale — we make sure it does.

Multi-cloud isn't a goal — it's a consequence of good architecture. We design for your requirements and let the right cloud follow. Vendor lock-in is a real cost; so is premature abstraction. Our cloud practice is built on FinOps principles from day one — every resource tagged, every dollar allocated, every anomaly detected before the invoice arrives.

$12M+

Annual cloud spend optimized for clients in the last 3 years

SDTC Digital FinOps practice

01

Infrastructure as Code — always

Every resource defined in Terraform, Pulumi, or CloudFormation. Version controlled, peer reviewed, and reproducible. No ClickOps, no snowflake servers, no configuration drift.

02

FinOps from day one

Cost allocation tags, budget alerts, reserved instance planning, and anomaly detection configured before a single production workload runs. Cloud economics is an engineering discipline, not an afterthought.

03

Security by design

Zero-trust network architecture, least-privilege IAM, encryption at rest and in transit, secrets rotation, and compliance controls built into the architecture — not audited in after the fact.

04

Migration without downtime

We've migrated systems processing millions of daily transactions with zero downtime using strangler fig patterns, blue-green deployments, and rehearsed cutover procedures.

Platforms and tools we deliver with

We're certified across AWS, Azure, and GCP. Every project gets the cloud that fits the workload — not the cloud we have the most certifications in.

The broadest service catalog and the deepest enterprise ecosystem. Our most-deployed cloud for greenfield builds and complex migrations.

ECS / EKSDefault

Container orchestration for microservice architectures. ECS for simplicity, EKS when your team needs the full Kubernetes ecosystem and portability.

Lambda / Step FunctionsRecommended

Event-driven serverless compute for workloads with variable demand. Step Functions for orchestrating multi-step workflows with built-in retry and error handling.

RDS / AuroraDefault

Managed relational databases with automated backups, failover, and read replicas. Aurora for high-throughput applications that need MySQL or PostgreSQL compatibility at scale.

CloudFront / S3Required

Global content delivery and object storage. The foundation for static asset serving, media storage, and the CDN layer that keeps latency under 50ms worldwide.

IAM / OrganizationsRequired

Multi-account strategy with SCPs, permission boundaries, and the least-privilege policies that prevent the blast radius of a compromised credential.

Cloud migration progress dashboard showing workload assessment, dependency mapping, and cutover timeline

Migration without the midnight outage

We've moved enterprises to the cloud — and between clouds — without losing a transaction.

Every migration starts with a workload assessment and dependency map, not a slide deck. We categorize workloads by migration strategy — rehost, replatform, refactor, or retire — and build a sequenced migration plan with rehearsed cutover procedures. The rollback plan exists and has been tested before we touch production. We've migrated legacy .NET monoliths to containerized microservices on AWS, Oracle databases to Aurora PostgreSQL, and on-premise VMware estates to Azure — all while the business kept running.

0

Production outages during migration

200+

Workloads migrated

Common questions about cloud engineering

From 18 years of infrastructure delivery — the questions every team asks before a cloud engagement.

Based on your workload characteristics, existing vendor relationships, team familiarity, and specific service requirements — not which cloud we prefer. AWS for the broadest service catalog and most mature ecosystem. Azure if you're a Microsoft shop with Entra ID, Office 365, and an existing Enterprise Agreement. GCP for data-intensive workloads where BigQuery and Vertex AI are central to the architecture. Many enterprises run multi-cloud — we design for that reality when it makes sense and advise against it when it doesn't.

The numbers behind our cloud practice.

200+

Workloads migrated to cloud

$12M+

Annual cloud spend optimized

99.99%

Uptime SLA achieved across clients

0

Production outages during migration

40%

Average cloud cost reduction

3

Major cloud platforms (AWS, Azure, GCP)

50+

Kubernetes clusters in production

24/7

Managed operations availability

Cloud engineering capabilities.

Click each capability to see what's included.

Cloud Architecture Design

We design cloud architectures that handle your target scale from day one. Every architecture decision is documented in an ADR (Architecture Decision Record) with rationale, alternatives considered, and trade-offs accepted. We model costs before provisioning and load-test against 10x expected traffic before launch.

AWSAzureGCPTerraform
600+

architectures designed and deployed

FinOps as a practice, not a project

Cloud spend visibility that makes the CFO a fan of engineering.

Most organizations discover their cloud costs are 30-40% higher than they need to be. The problem isn't the cloud — it's the lack of cost engineering discipline. We embed FinOps practices into your cloud operations so cost optimization is continuous, not a quarterly fire drill.

40%Average cost reduction in the first 90 days
01

Cost allocation and tagging

01 / 04

Cost allocation and tagging

Every resource tagged by team, environment, project, and cost center. Showback and chargeback reporting that lets engineering leaders own their budgets.

02

Reserved capacity planning

02 / 04

Reserved capacity planning

Usage pattern analysis to identify committed use discount opportunities — reserved instances, savings plans, and committed use contracts that reduce baseline costs by 30-60%.

03

Anomaly detection

03 / 04

Anomaly detection

Automated cost anomaly alerts that fire within hours of unexpected spend — not 30 days later when the invoice arrives. Includes automated remediation for common patterns like orphaned resources.

04

Right-sizing and scheduling

04 / 04

Right-sizing and scheduling

Continuous instance right-sizing based on actual utilization data, plus non-production environment scheduling that stops paying for dev and staging clusters at midnight.

How we deliver cloud infrastructure — methodically.

01

Discovery and architecture

Workload analysis, compliance requirements, cost modeling, and architecture design documented before a single resource is provisioned. The architecture decision record explains every significant choice.

02

Foundation build

Account structure, networking, IAM, and security baseline deployed first. Everything that follows is built on a foundation that is secure, compliant, and cost-visible from the start.

03

Infrastructure delivery

All infrastructure defined in Terraform, deployed through CI/CD, and validated with automated compliance checks. Environment parity between staging and production guaranteed by the same code deploying both.

04

Workload migration or deployment

Applications deployed or migrated with monitoring, alerting, and log aggregation active from the first production request. Staged rollout with automated rollback triggers.

05

Optimization and handover

30-day post-deployment review — right-sizing instances, activating reserved capacity, tuning autoscaling, and documenting runbooks. Structured handover to your team or transition to our managed operations.

Built for the traffic you hope for

Infrastructure that handles Black Friday without a 3 AM phone call.

We design for the scale your business is planning for — not just the traffic you have today. Auto-scaling policies tested under synthetic load before production launch. Multi-AZ deployments with automated failover. Circuit breakers and graceful degradation so partial outages don't become total outages. Our cloud architectures have sustained 99.99% uptime across clients processing everything from healthcare records to e-commerce transactions at peak holiday volume.

99.99%

Uptime SLA achieved

10x

Load tested beyond baseline

  • AWS Advanced Partner
  • Azure Solutions Partner
  • GCP Partner
Grafana dashboard showing cloud infrastructure metrics — request latency, error rates, and resource utilization across multiple availability zones

Free assessment

Get a cloud architecture review — on us.

Send us your current architecture. We'll come back with a written assessment covering security gaps, cost optimization opportunities, and scaling risks. No commitment, no sales pitch.

Let's build cloud infrastructure you can trust — and afford.

Tell us about your workloads, your compliance requirements, and your cloud bill. We'll come back with an architecture, a migration plan, and an honest cost projection.

See our cloud work