Platform Engineering

Builds an internal developer platform so product teams get paved-road self-service for environments pipelines and infrastructure cutting cognitive load without giving up governance.

Everything included under this practice line.

01

Internal developer portal with service catalog scorecards and templated workflows

02

Golden path templates for common service shapes: web API worker batch job data pipeline

03

Self-service provisioning of environments databases and messaging with sensible defaults

04

Platform API design so tooling stays composable rather than a single monolithic UI

05

Observability logging and tracing wired in by default for every service using the paved road

06

Cost security and compliance guardrails encoded so teams cannot accidentally break them

07

Platform product management: intake roadmap and adoption metrics for the internal customer

08

Documentation and enablement so developers can find and use platform capabilities without a Slack ping

The stack we reach for.

Backstage and Port for developer portalsCrossplane and Kubernetes Operators for platform APIsHumanitec and Kratix for platform orchestrationArgo Workflows and Temporal for platform-side automationOpenTelemetry and Grafana Stack for baked-in observabilityTerraform and Helm as the underlying provisioning layer

What the business gets, measured.

  • Shorter time from new-service idea to running in production
  • Consistent security and compliance controls without per-team negotiation
  • Higher developer satisfaction and lower context-switching cost
  • Reduced duplicate tooling built independently by each product group
  • Clearer platform ownership boundary between application and infrastructure teams

The specialists behind this practice line.

Platform engineers and internal developer experience specialists lead the work treating product teams as their real customer and running the platform as a product with roadmap and support. Backstage or Port engineers pair with API designers on the portal while service catalog contents are shaped with the actual application teams who will consume them.

Cloud & DevOps

See full practice

Compose several capabilities into one engagement.

All Cloud & DevOps

Cloud Consulting & Migration (AWS, Azure, GCP)

We plan the target landing zone then move workloads across in waves so nothing goes dark. Lift-and-shift where it makes sense replatform where the payoff is real.

DevOps Consulting

We audit how your team ships today find the actual bottleneck and fix it. Usually it's not the tooling it's the handoff between dev and ops.

CI/CD Pipeline Automation

Pipelines that build test scan and deploy on every merge without a human in the loop. Same pipeline for every service so nobody has to relearn it.

Infrastructure as Code (Terraform)

Every resource in a repo reviewed like application code. No click-ops no drift and no server that only one person knows how to rebuild.

Kubernetes & Container Orchestration

EKS AKS or GKE clusters set up so day-two doesn't become a fire drill. Sane defaults for networking RBAC upgrades and workload isolation.

Site Reliability Engineering (SRE)

SLOs tied to what users actually feel error budgets that gate risky changes and on-call rotations that don't burn people out. Postmortems that fix causes not symptoms.

Cloud Cost Optimization

We find the money leaking on idle instances oversized nodes forgotten volumes and egress. Then we set guardrails so it doesn't creep back next quarter.

Disaster Recovery & Business Continuity

RTO and RPO targets you can actually meet backed by restores we test on a schedule. Backups nobody has restored are not backups.

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