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Redian Software
Cloud & DevOps expertise

Multi-cloud architecture — AWS, Azure, GCP, picked per workload

Multi-cloud architecture, migration and DevOps across AWS, Azure and Google Cloud. Infrastructure as Code, FinOps, observability, security — production-grade cloud governance.

Hire AWS / Azure / GCP engineers See our work
CMMI Level 3 Appraised ISO Certified 200+ enterprises 5 regional hubs 9+ years of delivery
AWS / Azure / GCP delivery, in numbers

Proof, not promises.

Real benchmarks from production engagements.

  • Multi-cloud

    All three covered

    AWS · Azure · GCP

  • Terraform

    IaC default

    Versioned, peer-reviewed, drift-monitored

  • FinOps

    Built in

    Cost optimisation across cloud spend

  • Production

    Discipline included

    Not just provisioning

What we deliver

The capabilities our AWS / Azure / GCP engineers ship.

Production patterns from real engagements — not a stack-marketing checklist.

  • 01

    Cloud architecture design

    Greenfield architecture, services selection, region/AZ strategy, network design, security model. Written architecture documents and decision records.

  • 02

    Migration & modernisation

    On-prem to cloud, cloud-to-cloud, lift-and-shift, replatform, refactor. See our [Cloud Migration practice](/expertise/cloud-devops/cloud-migration) for depth.

  • 03

    Infrastructure as Code

    Terraform / OpenTofu, Pulumi, AWS CDK. Modular, peer-reviewed, drift-monitored, automated via CI/CD.

  • 04

    Security & compliance

    IAM least-privilege, network segmentation, secrets management (Vault, AWS Secrets Manager), CSPM tools, audit trails for regulators.

  • 05

    FinOps & cost optimisation

    Cost monitoring dashboards, rightsizing, reserved/savings instances, spot strategy, tagging discipline. 20–40% cost reduction typical.

  • 06

    Observability & SRE

    CloudWatch, Azure Monitor, GCP Operations, Datadog, New Relic, OpenTelemetry. SLO/SLI definition, error budgets, on-call rotation.

Who hires us for AWS / Azure / GCP

Where this stack fits best.

We've seen the patterns — match yours against the list to find the closest fit to your situation.

  • Scale-ups going to production

    Series B+ companies needing cloud architecture that survives Series C scale.

  • Enterprise IT modernisation

    Large enterprises moving from on-prem or legacy cloud setups to modern architectures.

  • BFSI cloud adoption

    Banks, insurers and lenders adopting cloud under regulator scrutiny (data residency, audit, security).

  • Cost-pressured cloud

    Companies with cloud bills growing faster than business — need FinOps discipline and rightsizing.

  • ML-heavy workloads

    AI/ML teams needing the right cloud services (SageMaker, Vertex, Azure ML) and cost-controlled GPU access.

How we engage

From brief to production.

Transparent, milestone-driven, with clear owners and timeframes at every stage.

  1. 01Weeks 1–2

    Assessment

    Current-state audit, workload classification, business goals, regulatory constraints, cloud-readiness scoring.

  2. 02Weeks 3–4

    Architecture

    Target architecture, cloud selection per workload, security model, network design, FinOps model.

  3. 03Weeks 4–6 (parallel)

    IaC + CI/CD

    Terraform modules, GitHub Actions / Argo CD pipelines, secrets management, drift detection.

  4. 04Weeks 6–12

    Implementation

    Phased deployment, observability instrumentation, security hardening, FinOps dashboards.

  5. 05Ongoing

    Managed services

    SRE on-call, FinOps reviews, security audits, cloud spending optimisation.

AWS / Azure / GCP in depth

Inside our AWS / Azure / GCP practice.

The long-form view of how we approach AWS / Azure / GCP engagements.

Multi-cloud reality

We don't worship a single cloud. AWS, Azure and GCP all have strengths — and the right choice depends on the workload, the team, the regulator, and the integration ecosystem. We do all three, governed with Infrastructure as Code (Terraform), FinOps discipline, and the observability that production cloud workloads actually need.

What we deliver

  • Cloud architecture for new workloads — services selection, region/AZ strategy, security model
  • Migration — from on-prem, between clouds, and cloud modernisation
  • Infrastructure as Code — Terraform / OpenTofu, Pulumi, CDK
  • DevOps & CI/CD — GitHub Actions, GitLab CI, Argo CD, FluxCD
  • Security — IAM, network policies, secrets management, cloud-native security tools
  • FinOps — cost monitoring, rightsizing, reserved/savings instances, spot strategy
  • Observability — CloudWatch, Azure Monitor, GCP Operations, Datadog, OpenTelemetry
Why Redian for AWS / Azure / GCP

What makes our AWS / Azure / GCP practice different.

Independent reasons clients pick us over freelancers, agencies and large consultancies.

  • Cloud-agnostic

    We don't push AWS just because we have AWS partner badges. We recommend per workload — sometimes that's GCP for ML, Azure for Microsoft-heavy enterprises, AWS for breadth.

  • IaC discipline

    Terraform or Pulumi from day one. No ClickOps. Drift detection automated. Disaster recovery is a `terraform apply` away.

  • FinOps embedded

    Cost monitoring and rightsizing built into the engagement — not an afterthought when the bill spikes.

  • Production-grade SRE

    SLOs, error budgets, on-call rotations, runbooks. Cloud done by engineers, not vendors.

Tech & tools

The AWS / Azure / GCP stack we ship on.

Production tooling — not just languages on a CV.

  • AWS (EC2, EKS, Lambda, RDS, S3, CloudFront, IAM, Cognito)
  • Azure (AKS, Functions, Cosmos DB, Service Bus, AD)
  • GCP (GKE, Cloud Run, BigQuery, Pub/Sub)
  • Terraform
  • OpenTofu
  • Pulumi
  • AWS CDK
  • Ansible
  • Argo CD
  • FluxCD
  • GitHub Actions
  • GitLab CI
  • Vault
  • AWS Secrets Manager
  • Datadog
  • CloudWatch
  • Azure Monitor
  • GCP Operations
  • OpenTelemetry
  • Prometheus
  • Grafana
  • Cloudflare
  • FinOps
Proof from production

A AWS / Azure / GCP project we can share publicly.

Most of our work is under NDA — this is one we can share.

BankingAfrica

Core Banking + Digital Channels for a Cameroon-based Bank

Client · Confidential — Cameroon

  • 9 months

    Live in production

  • 250,000+

    Active customers

  • −60%

    Cost-to-serve

Full core banking modernisation plus mobile, internet and agency banking for a Cameroon-based bank — live in 9 months, now serving 250,000+ customers.

Tech stack

JavaSpring BootPostgreSQLKafkaReactKotlinSwiftAWS
Read the full case study All case studies
Frequently asked questions

Everything you wanted to ask before the call.

Don't see your question? Ask us directly →

AWS vs Azure vs GCP — which should we pick?

Depends on workload, team and integrations. AWS for breadth and maturity. Azure if you're Microsoft-heavy or need deep AD/Office integration. GCP for ML/BigQuery-heavy workloads or Kubernetes-first teams. Many enterprises end up multi-cloud — that's fine if it's intentional.

Do you do Infrastructure as Code?

Yes — from day one. Terraform / OpenTofu by default, Pulumi for code-first preferences, AWS CDK where it fits. No ClickOps.

Can you optimise our existing cloud bill?

Yes — typical FinOps engagement delivers 20–40% cost reduction in 90 days. Rightsizing, reserved/savings instances, spot strategy, idle-resource cleanup, architecture-level optimisation.

Do you handle compliance and security in cloud?

Yes — IAM least-privilege, network segmentation, secrets management, CSPM tools (Prisma Cloud, Wiz, CloudGuard), audit trail design for regulators. BFSI deployments under RBI, CBK, FCA scrutiny.

Engage Redian

Ready to ship with AWS / Azure / GCP?

Tell us the role, the seniority and the time-zone overlap you need — a senior engineer will send three pre-vetted profiles within a week.

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