⚙️DevOps & Cloud

DevOps & Cloud Engineeringstability and speed

We bring real engineering excellence to delivery, stability, and quality. Multi-cloud expertise across AWS, GCP, and Azure, fully automated release pipelines, and security designed in from the first commit — measured by a 99% production release success ratio.

99%
success release ratio (prod P0 incidents)
$50K+/mo
cloud operations savings
3
clouds in depth — AWS, GCP, Azure
100%
releases gated by automated testing

What we do

Full-spectrum capability, built for PropTech platforms and proven on real engagements.

Multi-Cloud Expertise

Production experience across AWS, GCP, and Azure — chosen per client for compliance, data residency, and cost, not dogma.

Infrastructure-as-Code

Terraform with remote encrypted state, modular per-environment workspaces, variable-driven multi-region config, and automated drift detection in CI.

CI/CD Pipelines

Fully automated release-candidate pipelines that gate every production deployment on test outcomes — the backbone of our 99% release success ratio.

Kubernetes Operations

Horizontal Pod Autoscaling on high-variance workloads, namespace isolation, StatefulSets for data services, and rate-limited ingress protecting AI endpoints.

Security by Design

Encryption at rest and in transit, network isolation, granular access control — documented as architecture decisions and validated by penetration testing each release.

Monitoring & Observability

Control metrics, alerting, and release-health dashboards surfacing P0/P1 incident rates per deployment, so reliability is visible, not assumed.

Every change, gated and observable

From commit to production through automated quality gates — with infrastructure-as-code and security checks built into the path, not bolted on after.

Commit
Build
Test Gate
E2E · load · regression
IAC Apply
Terraform
Security
scan · pentest
Deploy
AWS · GCP · Azure
Monitoring & release-health dashboards feed P0/P1 rates back to the team
Case Study · Cloud Cost & Reliability

$50K/month saved through long-term infrastructure planning

On the award-winning real estate data platform, cost-effective, long-term infrastructure planning produced over $50,000 per month in cloud-operations savings — without compromising the capacity the platform needed to scale.

Robust microservices with automated backup/restore, configurable data pipelines for straightforward integrations, and fully automated release-candidate E2E testing let the team hand the platform to a support phase with minimal resources.

The discipline shows up in the numbers: a 99% success release ratio measured by production P0 incidents, and security validated by audit and penetration testing on every major release.

$50K+/mocloud operations savings
99%release success ratio
Passsecurity audit & pentest, every release

Best practices we apply

The principles behind the outcomes — learned by delivering, not theorizing.

01

Codify everything

Remote-state Terraform with drift detection means environments are reproducible and auditable — a competitive advantage when sovereignty rules apply.

02

Gate releases automatically

A release candidate that hasn't passed the automated E2E suite doesn't ship. Quality compounds when each suite protects all prior functionality.

03

Treat security as architecture

Encryption, isolation, and access control are decisions documented before implementation — penetration testing confirms them, it doesn't discover them.

04

Plan cost for the long term

Right-sizing and intelligent capacity planning beat reactive optimization — that is where the $50K/month savings came from.

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Building this into your platform?

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