Real Results. Real Engineering Teams.
Every metric below comes from a production engagement. No vanity numbers, no hypotheticals.
GCP Migration: From Skaffold Scripts to Full GitOps with Terragrunt, GKE, and ArgoCD
Challenge
Legacy deployment pipeline built on Skaffold and custom gcloud shell scripts. Infrastructure provisioned manually through the GCP Console. No reproducibility, no audit trail, and deployments took 45+ minutes with frequent rollback failures.
What we delivered
- ✓ Replaced all manual GCP provisioning with Terraform modules wrapped in Terragrunt for DRY, multi-environment configuration
- ✓ Migrated workloads to GKE with ArgoCD for declarative GitOps deployments
- ✓ Traefik as ingress controller with automatic TLS and traffic routing
- ✓ Crossplane for Kubernetes-native provisioning of GCP resources (Cloud SQL, Memorystore, Pub/Sub)
- ✓ Grafana Loki for log aggregation, Mimir for long-term metrics storage, and Grafana dashboards for full observability
- ✓ Zero manual actions end-to-end: every infrastructure and application change flows through Git
Enterprise OpenShift: Multi-Data Centre GitOps with Automated DR Failover
Challenge
Regulated banking platform running on legacy VMs across two data centres. Manual deployments, no disaster recovery testing, and compliance audits consuming 3 weeks of engineering time per quarter.
What we delivered
- ✓ Red Hat OpenShift deployed across two data centres with active-passive failover
- ✓ Full GitOps with ArgoCD ApplicationSets managing 40+ microservices across both clusters
- ✓ HashiCorp Vault for secrets management with automatic rotation and audit logging
- ✓ Automated DR failover tested monthly: DNS cutover, database promotion, and application sync validated end-to-end
- ✓ Ansible playbooks for OpenShift cluster lifecycle: upgrades, certificate rotation, and node scaling
- ✓ Compliance evidence auto-generated from policy-as-code (OPA/Gatekeeper) and Vault audit logs
On-Premise Kubernetes on Proxmox VE with Ceph Storage and Velero DR
Challenge
Manufacturing company with strict data sovereignty requirements. All workloads must run on-premise. Previous setup was bare VMs with manual deployments, no container orchestration, no backup strategy, and single points of failure everywhere.
What we delivered
- ✓ Proxmox VE hypervisor cluster across 6 nodes with Ceph backend for VM storage HA (triple replication)
- ✓ Kubernetes cluster (kubeadm) running on Proxmox VMs with MetalLB for bare-metal load balancing
- ✓ Rook-Ceph deployed inside Kubernetes for microservices persistent data (block and filesystem storage)
- ✓ Velero for scheduled Kubernetes backups (namespaces, PVs, cluster state) with S3-compatible offsite target
- ✓ Tested recovery path: full namespace restore validated monthly, full cluster rebuild validated quarterly
- ✓ Ansible-driven provisioning: new Proxmox nodes, Kubernetes nodes, and Ceph OSDs added via playbooks
End-to-End Observability Stack: Datadog, Prometheus, and Custom SLO Dashboards
Challenge
Series B SaaS platform with 200K+ users. No centralized monitoring, logs scattered across CloudWatch and pod stdout, alerting was a single Slack webhook that nobody watched. MTTR for production incidents was 4+ hours because engineers had no visibility.
What we delivered
- ✓ Datadog APM and infrastructure monitoring for real-time application tracing and host metrics
- ✓ Prometheus + Grafana self-hosted stack for Kubernetes-specific metrics, pod health, and resource utilization
- ✓ OpenTelemetry instrumentation across all Go and Node.js services for distributed tracing
- ✓ Custom SLO dashboards in Grafana: availability, latency p99, error budget burn rate per service
- ✓ PagerDuty integration with SLO-based alerting: page on user-facing impact, not infrastructure noise
- ✓ Runbooks for every alert: linked directly from PagerDuty to Confluence with investigation steps and remediation
- ✓ Datadog cost optimization: tag-based cost allocation, cardinality limits, and unused metric cleanup saved 35% on monthly bill
Azure DevOps: Multi-Environment CI/CD with Infrastructure Automation and Compliance Gates
Challenge
Healthcare SaaS product deployed to Azure. Manual deployments through Azure Portal, Terraform state managed locally on a developer laptop, no security scanning, and HIPAA compliance gaps flagged by auditors.
What we delivered
- ✓ Azure DevOps YAML pipelines with multi-stage promotion: dev, staging, UAT, production with manual approval gates
- ✓ Terraform modules for all Azure infrastructure (AKS, Azure SQL, Storage Accounts, Key Vault) with remote state in Azure Blob
- ✓ AKS clusters with Azure CNI, Azure AD integration, and pod-managed identities for zero-credential workloads
- ✓ Azure Key Vault for secrets with automatic rotation and Kubernetes CSI driver for pod-level secret injection
- ✓ Trivy container scanning and Checkov Terraform scanning integrated into every pipeline run
- ✓ Azure Policy for compliance enforcement: deny public IPs, require encryption, enforce tagging standards
- ✓ HIPAA compliance evidence auto-generated from Azure Policy audit logs and pipeline scan results
Kubernetes Migration for FinTech: EKS, GitOps, and 40% Infrastructure Cost Reduction
Challenge
FinTech platform running on manually provisioned EC2 instances. Deployments took 2+ hours with SSH-based deploy scripts. Over-provisioned infrastructure costing $45K/month with actual utilization under 20%. No autoscaling, no rollback capability.
What we delivered
- ✓ AWS EKS cluster with Karpenter for just-in-time node provisioning based on actual pod resource requests
- ✓ ArgoCD GitOps for all application deployments with automated sync, drift detection, and one-click rollback
- ✓ Terraform modules for all AWS infrastructure: VPC, EKS, RDS, ElastiCache, S3, IAM
- ✓ Prometheus + Grafana monitoring with custom dashboards for golden signals per service
- ✓ Spot instances for non-critical workloads (batch processing, staging environments) via Karpenter node pools
- ✓ Right-sizing analysis: downsized RDS instances, consolidated underutilized services, eliminated idle resources
Platform Engineering: Backstage IDP with Self-Service Infrastructure for 80-Engineer Org
Challenge
80-engineer organization where developers waited 3-5 days for infrastructure requests. No service catalog, no standardized project templates, and onboarding new engineers took 2+ weeks. Platform team was a bottleneck with a 40-ticket backlog.
What we delivered
- ✓ Backstage deployment with custom service catalog indexing 120+ services from GitHub and Kubernetes
- ✓ Software templates (golden paths) for new services: pre-configured with CI/CD, monitoring, security scanning, and Kubernetes manifests
- ✓ Self-service infrastructure provisioning via Crossplane: developers create databases, caches, and queues through Backstage UI
- ✓ TechDocs integration: API documentation, runbooks, and architecture decision records searchable in one portal
- ✓ Scorecards tracking service maturity across security, reliability, documentation, and ownership dimensions
- ✓ GitHub Actions workflows triggered by Backstage scaffolder for end-to-end project creation
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