Platform Engineering Consulting
Build internal developer platforms that accelerate delivery, improve reliability, and empower your engineering teams with self-service infrastructure.
Developer Productivity Is Bottlenecked by Infrastructure
Your developers spend more time fighting infrastructure than building features
⏱️ Slow Deployments
Manual deployment processes take hours. Developers wait for ops tickets, slowing iteration speed.
🔧 Tool Fragmentation
Each team uses different tools. No standardization = inconsistent environments and reliability issues.
🚨 Production Incidents
Configuration drift, manual changes, and lack of observability cause preventable outages.
Internal Developer Platforms That Scale
Self-service infrastructure that makes developers productive from day one
☸️ Kubernetes Platform
Production-ready Kubernetes with security, monitoring, and developer-friendly tooling
- EKS, GKE, AKS setup and hardening
- Multi-cluster management
- Network policies and security
- Auto-scaling and resource management
🔄 GitOps Workflows
Declarative infrastructure and automated deployments with Git as source of truth
- ArgoCD, Flux deployment pipelines
- Infrastructure as Code (Terraform, Pulumi)
- Automated rollbacks and canary releases
- Environment parity (dev/staging/prod)
🚀 CI/CD Modernization
Fast, reliable pipelines that deploy in minutes, not hours
- GitHub Actions, GitLab CI, CircleCI
- Automated testing and quality gates
- Container image optimization
- Secret scanning and security checks
📊 Observability Stack
Complete visibility into applications and infrastructure
- Prometheus, Grafana, Datadog
- Distributed tracing (Jaeger, Tempo)
- Log aggregation (ELK, Loki)
- SLO tracking and alerting
🔒 Service Mesh
Traffic management, security, and observability for microservices
- Istio, Linkerd implementation
- mTLS encryption between services
- Traffic splitting and A/B testing
- Circuit breaking and retries
🛠️ Developer Self-Service
Portals and CLIs that make infrastructure accessible to all developers
- Backstage developer portal
- Service catalogs and templates
- Ephemeral preview environments
- One-command deployments
Common Platform Engineering Projects
☸️ Kubernetes Migration
Move from EC2/VMs to containerized workloads on Kubernetes for better resource utilization
Result: 60% cost reduction, 10x faster deployments
🔄 CI/CD Modernization
Replace Jenkins with GitHub Actions and automated GitOps workflows
Result: Deploy times from 2 hours → 10 minutes
📊 Observability Implementation
Build comprehensive monitoring, logging, and tracing for microservices
Result: 70% faster incident resolution, proactive issue detection
Typical Platform Engineering Outcomes
Faster Deployments
From hours to minutes with automated pipelines
Less Ops Toil
Self-service platforms reduce ops tickets
Uptime Achieved
With proper monitoring and automation
Ready to Build Your Platform?
Let's discuss your platform engineering needs and create a roadmap
30-minute call to review your platform engineering challenges
Frequently Asked Questions
Do we need Kubernetes?
Not always. For small teams (<5 devs) or simple applications, managed services like Heroku or Render might be better. Kubernetes makes sense when you have microservices, need fine-grained control, or want to optimize costs at scale.
How long does platform implementation take?
Basic Kubernetes platform: 2-4 weeks. Full platform with GitOps, observability, and service mesh: 6-12 weeks. We prioritize quick wins and iterative rollout to show value early.
Will this disrupt our current development?
Minimal disruption with phased migration. We run new platform alongside existing infrastructure, migrate workloads gradually, and provide training. Most teams see improved velocity within weeks.
What if our team doesn't know Kubernetes?
That's the point of platform engineering—abstract complexity. Developers use simple interfaces (CLIs, portals, git push) while the platform handles Kubernetes details. I provide training for ops teams who maintain the platform.