We run the platform after we build it.

Calvrix designs, implements, and operates highly available, secure, and scalable infrastructure for enterprises across AWS, Azure, and GCP: using Infrastructure as Code, container orchestration, and automated CI/CD as the default working method.

Production-grade systems built on a multi-cloud control plane.

CloudsAWS · Azure · GCP
OrchestrationEKS · AKS · GKE
IaCTerraform · CFN · ARM
CI/CDGitHub · GitLab · Jenkins
ObservabilityPrometheus · Grafana
SecurityIAM · Vault · WAF

Nine capability surfaces. One operating standard.

Each capability is delivered as a working system, not a slide deck. Tools listed are the production defaults: substituted only when the customer's stack constrains the choice.

// 01

Multi-cloud architecture & engineering

Highly available, fault-tolerant architectures spanning AWS, Azure, and GCP. VPC/VNet design, hybrid connectivity, and multi-region disaster-recovery strategy.

  • VPC / VNet · subnetting · routing · NAT
  • VPN · Direct Connect · ExpressRoute
  • Multi-region · DR · failover topology
// 02

Infrastructure as Code & automation

Provisioning treated as version-controlled software. Reviewed plans, drift detection, and immutable environment provisioning.

  • Terraform · CloudFormation · ARM
  • Ansible · Bash · Python
  • Immutable infra · automated environments
// 03

DevOps & CI/CD implementation

End-to-end pipelines with automated build, test, and deployment. Blue-green, canary, and provable rollback as baseline, not opt-in.

  • Jenkins · GitLab CI · GitHub Actions
  • Blue-green · canary · staged rollout
  • Reviewed merges · environment parity
// 05

Cloud security & compliance

Least-privilege access, secrets in vaults, and compliance posture aligned with ISO and SOC2 best practices.

  • IAM · RBAC · least-privilege models
  • Secrets Manager · Key Vault · GCP SM
  • WAF · Security Groups · NSG · firewall
// 06

Monitoring, logging & observability

Centralised logs, metrics, and distributed tracing: built before launch, not retrofitted after the first incident.

  • CloudWatch · Azure Monitor · GCP Ops
  • Prometheus · Grafana · OpenTelemetry
  • Distributed tracing · alerting · SLOs
// 07

Cloud migration & modernisation

Rehost, replatform, refactor: selected per workload, not by ideology. Legacy systems modernised into microservice topologies with minimal downtime.

  • Rehost · replatform · refactor
  • On-prem → cloud · zero-downtime cutover
  • Monolith → microservice decomposition
// 08

Cost optimisation & FinOps

Continuous rightsizing, attribution per workload, and savings-plan strategy aligned with business KPIs, not vendor incentives.

  • Rightsizing · utilisation analysis
  • Reserved instances · savings plans
  • Tag hygiene · cost attribution · alerts
// 09

Platform engineering as a practice

Long-running platform ownership, not project-based engagement. ADRs the next engineer can read, runbooks the next on-call can operate.

  • ADRs · runbooks · post-incident reviews
  • On-call rotation · escalation paths
  • Continuous improvement after launch

Four phases. Security-first. Automation-driven.

// 01

Assess

Architecture review against business requirements. Risks, constraints, costs, and operational failure points mapped before commitment.

// 02

Implement

Agile-based, iterative delivery. Security-first by default, automation-driven workflows, no stop-the-world cutovers.

// 03

Operate

Continuous monitoring, rightsizing, posture review. Hands-on SRE, not a ticket queue or off-hours rota.

// 04

Evolve

Cost discipline, modernisation cuts, capability extension. The platform improves after launch, not just before it.

Multi-cloud depth. Automation-first. Enterprise-grade reliability.

AWS · Azure · GCPmulti-cloud expertise across all three
Scalableresilient system design, proven in production
Automation-firstreducing manual overhead by default
Performancesecurity and cost-efficiency held in balance
Rapid deployenterprise-grade reliability from day one
Ownedhands-on operations, not handoff

What buyers ask about DevOps and cloud services.

We are standardised on GCP and most suppliers are not. Is that a problem?

AWS, Azure, and GCP. The deepest production footprint today is on AWS and Azure; GCP engagements are accepted where the customer has standardised on GCP-native services.

Our Terraform is a mess. Will you want to start over?

No. Existing estate: we audit, document, refactor where the cost-of-keep exceeds the cost-of-fix, and leave the customer with infrastructure that can be safely changed. Greenfield: we author and own.

We are not handing production credentials to an outside firm. How do you work?

Managed identity (Azure) or IAM role assumption (AWS) for service-to-service; centralised secret stores (Key Vault, Secrets Manager) for application secrets; never long-lived static credentials checked into source. The audit trail is the source of truth.

We are on Azure DevOps and do not want to migrate CI. Is that a problem?

GitHub Actions for most engagements, Azure DevOps Pipelines for some Microsoft-stack customers. The choice follows the team's existing investment; we do not migrate CI for its own sake.

We have been told we need an internal developer platform. Do we?

Only when there is enough developer-facing surface area that one is worth building. We follow the IDP discipline: self-service paved roads, golden paths for the 80% case, escape hatches for the 20%, measured against developer experience metrics that we agree at engagement start.

Our change board will not wave an outside supplier through. Will you work inside it?

Yes. Every change goes through an explicit review with a named approver and a rollback plan. Documentation is a deliverable, not a side-effect.