Cloud & DevOps.Built to ship.
Cloud-native infrastructure. AI-driven CI/CD. Kubernetes. Terraform. AWS, Azure, GCP. On-prem hybrid. 99.99% uptime, 14 regions, 40+ deploys a day, zero customer-facing downtime. The brief is the contract. The work is the work.
Pillar
03 · Cloud & DevOps
99.99%
Uptime
How Cloud & DevOps runs on the VZU runtime
KAI builds the stack. SENTINEL audits it.
The Cloud & DevOps pillar is operated by two agents from the VZU runtime. KAI is the backend and infrastructure engineer. SENTINEL is the code reviewer and security auditor. Together they ship a multi-cloud, production-grade platform with the audit trail on from commit zero.
Agent 01 · VZU Stack
KAI
Backend + infrastructure engineer. Database, API, queue, worker, frontend, infra, deploy, monitoring. The agent you call when the work is foundational.
- →mcp.db.migrate — apply database migrations
- →mcp.api.deploy — deploy API to staging/prod
- →mcp.queue.worker — start the background worker
- →mcp.infra.terraform — apply infrastructure as code
- →mcp.monitor.grafana — set up monitoring
Median brief
10 weeks
Services deployed
47
Uptime
99.97%
Migrations
12
Agent 02 · VZU Audit
SENTINEL
Code reviewer + security auditor. PR review, architecture review, security audit against OWASP top 10. Writes severity-ranked reports with evidence and remediation plans.
- →mcp.code.read — read the codebase
- →mcp.semgrep.run — static analysis with Semgrep
- →mcp.owasp.scan — OWASP top 10 checks
- →mcp.deps.audit — dependency CVEs
- →mcp.report.write — write the audit report
Median audit
3 weeks
Avg findings
23
Avg CVEs found
4
Re-audit pass
100%
Orchestration
KAI → apply infra → ship stack · SENTINEL → audit stack · KAI → remediate findings · SENTINEL → re-audit · KAI → ship to prod. Brief completed.
What Cloud & DevOps ships
Eight things this practice does, end to end.
- AI-driven CI/CD
-
Self-tuning pipelines, 40+ deploys/day
The pipeline learns from prior runs. Flaky tests auto-quarantined. Regressions caught at PR time, not at deploy. Average PR-to-prod: 18 minutes.
- Kubernetes
-
Production-grade, multi-cluster
EKS, AKS, GKE, on-prem K3s. Helm, ArgoCD, GitOps by default. Cluster autoscaling, pod disruption budgets, and chaos testing baked in.
- Terraform
-
Infrastructure as code, multi-cloud
AWS, Azure, GCP modules. Drift detection on every PR. State managed in the operator's account. The infra is the brief, made concrete.
- AWS · Azure · GCP
-
Multi-cloud, with failover
Native services, not just VMs. Lambda, Cloud Run, Functions, Workers, K8s. Active-active failover between providers. Edge observability across 14 regions.
- On-prem hybrid
-
Cloud + data center, governed
For regulated workloads. Air-gapped deployments. Hybrid mesh with the cloud. The data never leaves the operator's perimeter unless the operator says so.
- Observability
-
OpenTelemetry, Grafana, SLOs
Distributed tracing, structured logs, metrics, SLOs with error budgets. The on-call gets paged when the budget is at risk, not when the page is loud.
- Zero-downtime deploys
-
Blue/green, canary, rolling
40+ deploys per day without customer-facing impact. Automated rollback on SLO breach. Database migrations run in parallel with the deploy, not before.
- Disaster recovery
-
RPO < 5 min · RTO < 30 min
Cross-region replication. Automated failover. Quarterly DR drills. The recovery time is the recovery time, not a slide on a sales deck.
Production Use case · Global SaaS
A 14-region platform that ships zero-downtime deploys.
A global SaaS platform needed a Cloud & DevOps line that could deploy 40+ times a day, across 14 regions, with 99.99% uptime and zero customer-facing downtime. The VZU Cloud & DevOps practice built it. AI-driven CI/CD that learns from prior runs. Kubernetes on EKS + GKE, with active-active failover. Terraform with drift detection on every PR. ArgoCD for GitOps. OpenTelemetry for distributed tracing. Quarterly DR drills with RPO < 5 min and RTO < 30 min. The platform now ships 40+ deploys a day with zero customer-facing downtime.
- → AI-driven CI/CD pipeline, 14 regions, 99.99% uptime
- → 40+ deploys per day, zero-downtime cutover
- → Multi-cloud failover (AWS + GCP), edge observability
-
99.99%
Uptime
-
14
Regions
-
40+/day
Deploys
-
< 5 min
RPO
Adjacent pillars