The Platform Your Developers Wish They Had
Self-service infrastructure, golden paths for deployments, and AI-powered troubleshooting — so developers ship features instead of fighting YAML.
You might be experiencing...
Engagement Phases
Foundation
Deploy Backstage, configure ArgoCD multi-environment GitOps, Kyverno policies, cert-manager, first golden path template.
Self-Service
Crossplane for cloud resources, 4+ golden path templates, Backstage integrations (ArgoCD, Grafana, Kubecost), namespace automation.
Polish & AI
AI troubleshooting bot, Argo Rollouts for progressive delivery, TechDocs automation, developer onboarding, team training.
Deliverables
Before & After
| Metric | Before | After |
|---|---|---|
| Time to Deploy New Service | 2-5 days | < 30 minutes |
| Developer Infra Time | 30-40% of sprint | 10-15% |
| Deployment Frequency | Weekly | Multiple per day |
| Developer Satisfaction | 2.5/5 | 4.0/5 |
Tools We Use
Frequently Asked Questions
How long does it take to build an Internal Developer Platform on Kubernetes?
A typical engagement runs 2-3 months. Weeks 1-4 establish the foundation with Backstage and ArgoCD, weeks 4-8 deliver self-service capabilities with Crossplane and golden path templates, and weeks 8-12 add AI-powered troubleshooting, progressive delivery, and team onboarding.
What are golden path templates and how many do we get?
Golden paths are opinionated, production-ready templates for common service types. We deliver 4 or more templates — typically REST API, gRPC, event-driven, and batch processing — each with CI/CD, security scanning, observability, and GitOps deployment pre-configured.
How does this reduce developer time spent on infrastructure?
Developers currently spend 30-40% of their sprint time on infrastructure tasks. With the platform, creating a new service takes under 30 minutes instead of 2-5 days, provisioning environments is self-service, and deployments happen through GitOps. Typical clients reduce infrastructure time to 10-15% of sprint capacity.
Do you include AI-powered capabilities in the platform?
Yes. We build an AI-powered troubleshooting assistant that helps developers diagnose pod failures, deployment issues, and performance problems without needing deep Kubernetes expertise. This dramatically reduces the learning curve and the volume of infrastructure support tickets.
Which cloud providers and Kubernetes distributions do you support?
We support EKS, AKS, GKE, and self-managed Kubernetes. The platform tooling — Backstage, ArgoCD, Crossplane, and Kyverno — is cloud-agnostic. We design the platform to work with your existing cloud provider and can support multi-cloud if needed.
Get Started for Free
We would be happy to speak with you and arrange a free consultation with our Kubernetes Expert in Dubai, UAE. 30-minute call, actionable results in days.
Talk to an Expert