We build the Internal Developer Platform that platforms everything else, Backstage service catalogs, Kubernetes golden paths, Istio service meshes, and DORA metrics that transform infrastructure teams into product teams developers actually love.
Every engineering organization eventually faces the same bottleneck: platform and infrastructure complexity consuming more and more developer time. Developers spend hours on environment setup, deployment debugging, and infrastructure tickets instead of building features. Platform engineering solves this by building a product-quality internal platform.
We build IDPs with Backstage as the developer portal, service catalog with 150+ plugins, TechDocs for integrated documentation, and scaffolding templates that create new services with security, observability, and CI/CD pre-configured. Kubernetes platforms on EKS/AKS/GKE with Karpenter for cost-efficient node provisioning and OPA Gatekeeper for policy enforcement.
Key differentiator: We measure platform success the same way product teams measure feature success, DORA metrics. Deployment frequency, lead time for changes, change failure rate, and MTTR tracked continuously via the Four Keys framework. Platform engineering decisions are driven by data, not intuition.
The specific platforms, patterns, and practices we use to build world-class developer platforms.
Backstage deployment with service catalog covering all microservices, infrastructure, and data pipelines, owners, on-call, runbook links, SLO status, and deployment history in one view. TechDocs for auto-generated, always-current technical documentation from repo README files. Golden path scaffolding templates that create new services with GitHub repo, CI/CD pipeline, monitoring, and service mesh configuration pre-configured. 150+ plugin ecosystem integration: PagerDuty, ArgoCD, Datadog, GitHub Actions, Grafana.
EKS/AKS/GKE hardening with CIS Kubernetes Benchmark compliance. Karpenter for intelligent node provisioning based on pod requirements, right-sized nodes for spot/on-demand mix with automated bin-packing, reducing compute cost 40% vs. static node groups. OPA Gatekeeper constraint templates enforcing Pod Security Standards, required labels, approved registries, and resource quotas. Kubernetes RBAC mapped to organizational teams via Okta/Entra ID group sync.
Istio service mesh providing mTLS for all service-to-service communication (zero trust networking at L7), traffic management with VirtualServices and DestinationRules, circuit breaking via Outlier Detection, and canary deployments with weighted routing (e.g. 95%/5% traffic split). Kiali for real-time service topology visualization and traffic flow analysis. Envoy sidecar metrics feeding Prometheus/Grafana without application-level instrumentation changes.
Four Keys implementation tracking deployment frequency, lead time for changes, change failure rate, and MTTR, the Google DORA research metrics proven to predict organizational performance. Automated data collection from GitHub/GitLab (deployment events), PagerDuty (incidents), and Jira (work items). Real-time DORA dashboard visible to engineering leadership and all teams. Quarterly DORA trend reviews informing platform roadmap priorities.
Crossplane XRDs for self-service provisioning of databases (RDS, Cloud SQL), message queues (SQS, Pub/Sub), object storage (S3, GCS), and caches (ElastiCache, Memorystore), all via PR to a GitOps repo, no IAM permissions required. Helm chart libraries and Kustomize overlays for standardized application deployment patterns. Environment provisioning from PR to running environment in under 5 minutes via automated IaC pipelines.
Distroless base images eliminating OS-level attack surface, no shell, no package manager, no unnecessary binaries. Falco runtime security monitoring for abnormal container behavior (unexpected network connections, privilege escalations, file modifications) with real-time alerting to SIEM. Trivy scanning in CI with registry promotion policies blocking critical CVEs. Admission controllers enforcing Pod Security Standards (Restricted profile). Image signing with cosign/Sigstore and Kubernetes policy enforcement.
Platform engineering is a product discipline. We start with developer research, interviewing engineers about their biggest pain points, and build the platform roadmap from those findings, not from technology preferences.
Our platform engineers have built IDPs at scale for 50-engineer startups and 2,000-engineer enterprises. We know where the complexity is and how to sequence investments for maximum developer satisfaction improvement.
Developer experience survey and interviews across engineering teams, identify the top 5 pain points consuming developer time. Measure current DORA baseline. Audit existing platform tooling, identify gaps and redundancies. Assess Kubernetes cluster health, security posture, and resource utilization. Deliverable: Platform Engineering roadmap prioritized by developer impact.
Deploy Backstage with initial service catalog populated from existing GitHub/GitLab repos. Configure TechDocs pipeline for documentation auto-generation. Build first golden path scaffolding template for the most common service type (typically REST API). Integrate top 10 most-needed plugins: GitHub Actions, ArgoCD, PagerDuty, Datadog, Grafana. First developer demo within 4 weeks.
Audit existing Kubernetes clusters against CIS Benchmark. Deploy OPA Gatekeeper with priority constraint templates, Pod Security Standards first, then organizational policies. Migrate node groups to Karpenter for cost optimization and right-sizing. Configure Kubernetes RBAC with team-namespace isolation. Implement network policies with default-deny ingress/egress. Pod Security Standards enforcement in Restricted mode for new workloads.
Istio deployment in permissive mTLS mode, zero disruption to existing traffic. Incrementally enable STRICT mTLS namespace-by-namespace starting with lower-risk namespaces. Deploy Kiali, Jaeger, and Grafana for mesh observability. Configure traffic management policies for canary deployments. Enable circuit breaking for critical service dependencies. Full mesh adoption across all namespaces in 8–12 weeks.
Structured adoption program: office hours, platform champions in each engineering team, and Slack channel for platform questions. Four Keys DORA dashboard launched. Monthly platform newsletter highlighting new features and adoption metrics. Quarterly developer satisfaction surveys tracking NPS trend. Platform backlog driven by developer feedback, continuous product iteration on the platform itself.
How platform engineering investment transforms developer experience and delivery velocity.
Built a complete IDP for a fintech firm with 180 engineers on 60 microservices. Backstage with service catalog, TechDocs, and 12 golden path templates. Karpenter reduced Kubernetes compute costs 38%. DORA metrics tracked from day one: deployment frequency went from 2x/week to 8x/day within 6 months. Developer satisfaction NPS improved from 21 to 67. Infrastructure tickets to platform team down 75%.
8x/day deployments, 75% fewer infra ticketsDeployed a Backstage IDP for a federal agency with 500+ developers across 12 program offices. Service catalog with FedRAMP-compliant golden paths, new services provisioned with all required security controls pre-configured. TechDocs reduced documentation maintenance burden 60%. On-call handoff time reduced from 2 hours to 20 minutes. Passed FedRAMP assessment with 100% platform-level control inheritance documented via Backstage catalog.
FedRAMP controls inherited, 60% doc burden reductionLed migration of 400 VMs to Kubernetes across 3 AWS regions for a media company. EKS with Karpenter, OPA Gatekeeper, and Falco runtime security. Deployed Istio service mesh with mTLS and canary routing for gradual traffic shifting. Migration executed in 18 waves over 6 months with zero P1 incidents. Post-migration: infrastructure cost down 42%, deployment frequency up 5x, on-call burden down 55%.
42% cost reduction, 5x deployment frequencyDeployed Istio service mesh for an e-commerce platform with 80 microservices. Full mTLS within 8 weeks, zero downtime. Canary deployments via Istio weighted routing replaced manual blue/green processes, new features gradually rolled out to 1%/5%/25%/100% of traffic with automated rollback on error rate increase. Change failure rate dropped from 8.2% to 1.1% after canary adoption.
Change failure rate 8.2% → 1.1%Start with a Platform Engineering Assessment, we interview your developers, audit your current tooling, and deliver a data-driven platform roadmap with projected DORA improvements.