Platform Engineering: We Build IDPs That Developers Actually Use

Platform engineering is the discipline of designing and building self-service toolchains and workflows — called an Internal Developer Platform (IDP) — that let software teams provision infrastructure, deploy code, and manage services independently. It reduces cognitive load on developers while maintaining governance and security standards.

DevOps is a set of cultural practices and principles. Platform engineering is a concrete discipline that builds on DevOps by creating reusable, self-service platforms. Think of it this way: DevOps says 'you build it, you run it' — platform engineering gives teams the tools to actually do that without drowning in operational complexity.

An IDP is the set of tools, services, and workflows that a platform team builds and maintains for developers. It typically includes a developer portal, self-service infrastructure provisioning, golden path templates, CI/CD pipelines, observability tooling, and policy-as-code guardrails — all integrated into a coherent experience.

According to industry research, up to 70% of platform teams fail to deliver impact because they treat the platform as a technical project rather than a product. Common mistakes include building without developer input, over-engineering for edge cases, forcing adoption instead of earning it, and measuring infrastructure metrics instead of developer outcomes.

Our toolchain depends on your stack and maturity level. Common choices include Port or Cortex for developer portals, Terraform and Crossplane for self-service infrastructure, ArgoCD for GitOps delivery, OPA and Kyverno for policy-as-code, Prometheus and Grafana for observability, and GitHub Actions or GitLab CI for pipeline templates.

A minimum viable platform (MVP) typically takes 8-12 weeks — covering a developer portal, 2-3 golden paths, and self-service provisioning for core environments. Full maturity is iterative: we recommend shipping the MVP, measuring adoption, gathering feedback, and expanding in quarterly cycles.

Yes. Platform engineering works best with a dedicated team that treats the platform as a product. We help you define the right team size and structure. For organisations under 50 engineers, a 2-3 person platform team is typical. We can bootstrap the team, build the initial platform, and upskill your engineers to maintain it.

We track both platform health metrics and developer outcomes: deployment frequency, lead time for changes, time-to-first-deploy for new services, infrastructure provisioning time, developer satisfaction (NPS), and platform adoption rate. These align with DORA metrics and give you a clear ROI picture.

Absolutely. We design platforms that integrate with your current toolchain — not replace it wholesale. Whether you use AWS, Azure, or GCP; Jenkins, GitHub Actions, or GitLab CI; Terraform or Pulumi — the IDP wraps your existing tools into a self-service experience with consistent guardrails.

Any organisation with 20+ engineers shipping software benefits from platform engineering. We've seen the biggest impact in SaaS companies scaling their engineering teams, financial services firms needing compliant self-service, healthcare organisations requiring HIPAA-aligned workflows, and enterprises consolidating fragmented toolchains.

Engagements range from focused assessments (2-4 weeks) to full IDP build-outs (3-6 months). Pricing depends on scope, team size, and complexity. We provide transparent pricing with clear deliverables during our free initial consultation. Most clients see ROI within 6 months through reduced provisioning time and fewer support tickets.

An infrastructure team manages servers, networks, and cloud resources. A platform team builds self-service products for developers on top of that infrastructure. The platform team's 'customers' are internal developers, and their success is measured by developer productivity and satisfaction — not uptime alone.