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Infrastructure Management

Developer platforms your engineers actually use.

Internal developer platforms, opinionated golden paths, and self-service infrastructure — built on open standards your team already trusts, designed for adoption from day one, and handed off so your platform team owns the next decade.

Adoption-First
Engineered for engineers to choose, not be forced
Golden paths designed to be the easiest option a developer reaches for — so adoption grows from convenience, not from policy.
Open-Standards
Built on tooling you can extend, audit, and replace
Infrastructure-as-code, GitOps, and open developer-portal patterns — so the platform stays a system you operate, not a black box.
Toil-Aware
On-call toil and lead time surfaced as metrics
Lead time, deployment frequency, scaffolded-service share, and on-call interrupt rate exposed alongside the platform — so investment is steered by data, not anecdote.
Handoff-Ready
Documented, governed, owned by your team
Runbooks, contribution guides, and ownership boundaries are part of the deliverable — so your platform engineers operate and evolve the platform once we step out.

Developer Portal & Service Catalog

A developer portal built on open patterns (commonly Backstage or equivalent) with a service catalog, ownership metadata, scaffolding templates, and searchable docs — so engineers find what they need without asking three Slack channels.

Golden Paths & Paved Roads

Opinionated, scaffolded paths for the most common engineering jobs — new service, new pipeline, new environment — with logging, metrics, security scanning, and observability defaults wired in at scaffold time.

Self-Service Infrastructure

Infrastructure-as-code modules behind a developer-facing interface — environments, clusters, databases, queues, and storage provisioned through pull requests instead of tickets, with policy and cost guardrails enforced in code.

Standardized CI/CD & GitOps

Pipeline templates, reusable workflows, and GitOps-driven environment promotion — so every team ships through the same gated path with the same security, policy, and rollback semantics, instead of bespoke pipelines per team.

Platform Observability & DORA Metrics

Lead time, deployment frequency, change-failure rate, and MTTR surfaced alongside platform adoption, on-call toil, and pipeline reliability — so the platform team manages the platform with the same rigor product teams manage their services.

Security, Policy & Compliance as Code

Policy-as-code, secret management, RBAC, and security scanning wired into the golden paths — so security controls travel with every new service instead of being bolted on after a release goes hot.

The developer platform stack

Four tiers of a developer platform on one engineering foundation.

Developer experience, golden paths, self-service infrastructure, and a foundation your platform team owns. Each tier is designed for adoption, portability, and handoff from day one — so the platform earns engineering trust instead of competing with the tools your teams already have.

Engineered as one platform
Tier 01

Developer Experience Tier

How your engineers actually meet the platform

  • Developer portal with service catalog and ownership
  • Searchable docs, runbooks, and onboarding guides
  • Scaffolding templates for new services and apps
  • Surfaced golden paths instead of tribal knowledge
Tier 02

Golden Paths Tier

Opinionated defaults for the 80% case

  • Standardized CI/CD pipeline templates
  • Service templates wired with logging, metrics, and traces
  • Security scanning and policy checks built into the path
  • Observability defaults applied at scaffold time
Tier 03

Self-Service Infrastructure Tier

Provisioning your developers can drive themselves

  • IaC modules for environments, clusters, and networking
  • On-demand databases, queues, and storage with policies
  • Secrets, certificates, and config delivered by request
  • GitOps-driven environment promotion and rollback
The foundation

Cloud, identity, cost & ownership — by design

  • Underlying cloud, Kubernetes, and runtime your SRE team owns
  • Identity, RBAC, and least-privilege defaults across every path
  • Cost tagging, chargeback hooks, and budget guardrails
  • Platform team ownership model and contribution guidelines
Discover → Pilot Team → Golden Paths → Org-wide Rollout → Platform Team Ownership
Engineered for adoption, not mandate
Every golden path is designed to be the easiest option for a developer, so adoption grows from convenience — not from policy or pressure from above.
Built on standards your team can extend
Open tooling, infrastructure-as-code, and well-documented interfaces — so the platform is something your engineers can extend, not a black box they fear to touch.
Designed for handoff to your platform team
Runbooks, contribution guides, and ownership boundaries are part of the deliverable — so your platform engineers operate and evolve the platform once we step out.
Adoption and toil — measured, not assumed
Lead time, deployment frequency, scaffolded-service share, and on-call toil are surfaced as platform metrics, so investment decisions sit on data instead of anecdote.

Key Capabilities

  • Internal developer platform (IDP) architecture and reference design
  • Developer portal implementation with service catalog and ownership metadata
  • Software templates and scaffolding for new services, libraries, and pipelines
  • Golden path design for the highest-traffic engineering workflows
  • Self-service infrastructure modules behind developer-facing interfaces
  • Standardized CI/CD pipeline templates and reusable workflows
  • GitOps-driven environment promotion, rollback, and drift detection
  • Policy-as-code enforcement (network, identity, cost, security)
  • Secret, certificate, and configuration delivery integrated with golden paths
  • Observability defaults baked into scaffolds — logs, metrics, traces
  • DORA metrics, adoption metrics, and on-call toil dashboards
  • Contribution model, runbooks, and ownership boundaries for the platform team
  • WCAG 2.1 AA accessibility for any developer-facing portal interfaces

Technologies

TypeScript / Node.js.NET 10 / ASP.NET CorePython (platform tooling)KubernetesTerraform (IaC)Docker / OCI containersHelmBackstage (open-source developer portal)Argo CD / Flux (GitOps)GitHub Actions / Azure DevOps PipelinesOpenTelemetry / Prometheus / GrafanaOpen Policy Agent (OPA)

Our Implementation Process

1
Scoped during discovery

Discovery, Engineering Audit & Adoption Framing

We map the current engineering toolchain, inventory bespoke CI/CD and infrastructure patterns, and shadow two or three teams to understand the highest-toil developer workflows. The output is a prioritized engineering-toil map and a platform roadmap framed around the workflows that earn the most adoption first.

Engineering toolchain inventory, developer-toil map, prioritized platform roadmap, success-metric definition (adoption, lead time, toil)
2
Phased per engagement

Architecture & Engineering Plan

Design the platform architecture — developer portal, scaffolding system, golden-path templates, self-service infrastructure modules, observability defaults, and ownership model — alongside your platform, security, and SRE stakeholders. Trade-offs between portability, vendor reliance, and operational simplicity are made explicitly.

Architecture document, developer-portal blueprint, golden-path catalog plan, IaC module specification, observability and ownership plan
3
Phased per engagement

Pilot Build with One Engineering Team

Build the first golden path end-to-end with one volunteer engineering team — developer portal, scaffolding, CI/CD template, infrastructure provisioning, and observability defaults. The pilot is the proof point: a real team shipping real services through the platform, with measured adoption and toil signals before any org-wide rollout.

Working platform pilot, first golden path in production use, pilot adoption and toil metrics, refined platform conventions
4
Phased per engagement

Org-Wide Rollout & Path Expansion

Expand golden paths beyond the pilot — additional service templates, environment modules, security and compliance paths, and team-by-team onboarding. We work alongside your engineering leadership on the adoption motion so the platform earns trust team-by-team instead of being mandated top-down.

Expanded golden-path catalog, scaffolded services across multiple teams, adoption and toil dashboards, onboarding playbooks
5
Defined per engagement

Handoff to Your Platform Team & Lifecycle Operations

Transfer the platform to your in-house platform / SRE team via documented runbooks, contribution guides, golden-path ownership, and a defined maintenance cadence. An initial hypercare period covers incident response, golden-path evolution, and the first cycle of platform metrics review with your engineering leadership.

Documented handoff package, ownership boundaries, contribution guides, platform metrics review cadence, hypercare support

Frequently Asked Questions

What does "platform engineering" actually mean in your engagements?

We design and build internal developer platforms (IDPs) — a developer portal, scaffolding and golden-path templates, self-service infrastructure modules, standardized CI/CD, and the observability and ownership model around all of it. The product is an engineering platform your developers self-serve from and your platform team owns. We do not sell a packaged commercial IDP — every engagement is custom-engineered to fit your existing toolchain, cloud estate, and engineering culture.

Do you lock us into Backstage, or any other developer-portal product?

No. The developer portal is one tier of the platform, and we build it with open-source patterns (Backstage is a common starting point, but not the only one). The tool choice is part of discovery and depends on your existing investment, contribution model, and operational comfort. We do not represent partnerships or special status with Backstage, Spotify, HashiCorp, or any commercial IDP vendor — and we design every tier so the underlying tool can be replaced without a platform rewrite.

How do you make sure engineers actually adopt the platform?

Adoption is a design problem, not a mandate problem. We start with two or three real engineering teams, shadow their highest-toil workflows, and build the first golden path so it is genuinely the easiest option for them — not the politically correct one. The pilot ships real services through the platform before any org-wide rollout. We surface adoption and on-call toil as metrics from day one so the platform team can steer expansion by evidence, and we work with your engineering leadership on the adoption motion rather than parachuting a portal in and walking away.

How does the platform integrate with our existing CI/CD, cloud, and identity?

The platform is designed to ride on the CI/CD, cloud accounts, identity provider, and observability stack you already operate — via documented interfaces your platform team controls. We do not require a rip-and-replace of your existing investments; the developer portal, golden paths, and self-service modules wrap the systems you already trust. We do not claim partnerships, certifications, or pre-built integrations with any third-party vendor — every integration is engineered as a documented capability of the platform.

What does a typical engagement look like, and how do you scope it?

Engagement shape, timeline, and investment are defined during discovery — we do not quote fixed durations or fixed costs on a public page. Discovery is where we map your engineering toolchain, inventory bespoke patterns, shadow real teams, and frame the platform roadmap around adoption-first workflows. After discovery, build is typically phased: pilot with one team, then expand golden paths and onboard additional teams, then formally hand the platform over to your in-house platform team. The handoff is part of the deliverable, not an afterthought.

How do you avoid a long consulting tail where we stay dependent on you?

Handoff is engineered in from day one. Runbooks, contribution guides, ownership boundaries, and a documented maintenance cadence are part of the deliverable — not a separate workstream at the end. Your platform engineers participate in the build itself (pairing on scaffolds, reviewing IaC modules, contributing golden paths) so the platform feels like theirs by the time we step out. An initial hypercare period covers the first cycle of platform metrics and golden-path evolution, but the goal is explicit: your team operates and evolves the platform after the engagement ends.

Engineering teams reinventing the same wheel?

Book a free 30-minute Platform Engineering call. We will walk through your current engineering toolchain, the workflows that are draining the most time, and a realistic scope for a developer platform your team will actually adopt — and own.