FlowStack Platform
Kubernetes migration off a single VM: managed cluster, infrastructure as code, and deploys running from CI.
➜ ./webnuvexa --devops
Provisioning infrastructure▊
Applying Terraform modules...
✓ Docker images built
✓ Pipeline green across 6 stages
✓ Autoscaling rules applied
Ready to deploy▊
// DevOps & Cloud Infrastructure
AWS and Azure architecture, CI/CD pipelines, Docker and Kubernetes platforms, and infrastructure as code. Deploys become boring, rollbacks become routine, and the cloud bill stops being a surprise.
Infrastructure layers that make shipping safe, repeatable, and cheap.
AWS, Azure and Google Cloud environments designed around cost, resilience, and blast-radius control — not around the default wizard.
GitHub Actions, GitLab CI, and ArgoCD pipelines with preview environments, quality gates, and automated rollbacks. Jenkins where an existing self-hosted pipeline is already load-bearing.
Multi-stage Dockerfiles, Helm charts, and EKS or GKE clusters with autoscaling, self-healing pods, and sane resource limits.
Terraform and Pulumi modules, Ansible configuration management, secrets management, and drift detection so every environment is reproducible and auditable.
Production engineering, observability, and the guardrails around both.
Landing zones, IAM boundaries, networking, and account structure engineered to survive the next audit. Cloudflare sits in front for DNS, CDN, WAF and edge caching where it earns its place.
Hardened image builds, vulnerability scanning, Helm charts, and pod autoscaling tuned to real load curves.
Build, test, preview, staging, and production pipelines with required checks and one-command rollback.
Terraform modules, managed state, Ansible configuration management, drift detection, and identical staging and production environments.
Prometheus and Grafana metrics, OpenTelemetry traces, Sentry error tracking, structured logs, uptime probes, and alert routing that respects your sleep.
Load balancing, autoscaling, multi-AZ failover, k6 load testing with stated thresholds, and chaos drills before customers find the edges.
Secrets rotation, image scanning, least-privilege IAM, network policies, and the audit evidence your assessors need. We implement controls; we do not perform or certify the audit itself.
Right-sizing, spot capacity, savings plans, and anomaly alerts that surface waste before finance does.
Audit to architecture to a deploy process the whole team trusts.
Infrastructure audit, deploy friction, incident history, and a full breakdown of monthly cloud spend.
Environment topology, network boundaries, service sizing, and a pipeline plan written down before code.
Containers, Terraform modules, and pipeline definitions built in version control with peer review.
Staged rollout with blue-green or canary releases, plus a rollback drill rehearsed before go-live.
SLO tuning, incident reviews, quarterly cost optimization, and capacity kept ahead of the roadmap.
Sample platform work: clusters, pipelines, and observability, with the reasoning shown.
Kubernetes migration off a single VM: managed cluster, infrastructure as code, and deploys running from CI.
Event pipeline on AWS ingesting 2B events a day with sub-minute dashboard refresh and replayable backfills.
Active-active rollout across AWS and Azure with automated failover completing in 40 seconds flat.
Peak-season readiness — autoscaled to 38x baseline load with zero downtime and no additional spend.
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