Platform Engineering & Infrastructure as Code
Ship faster with a paved path to production. We design internal platforms and codify your cloud so teams can deliver securely, reliably, and at scale.
How It Works
Discover
Stakeholder workshops, platform goals, and current-state assessment.
Prioritize use cases and define success metrics and SLAs/SLOs.
Design
Reference architectures, platform blueprints, and IaC module design.
Security model, network plan, and compliance requirements mapped.
Build
Implement IaC, CI/CD, and developer portal templates.
Integrate observability, secrets, and policy as code.
Pilot
Onboard 1–2 product teams to golden paths and collect feedback.
Harden guardrails and performance test the platform.
Scale
Roll out to additional teams, knowledge transfer, and runbooks.
Optional managed enablement and quarterly optimization.
Trusted by many companies
what clients say
“Their platform SLAs and self-service templates cut our ticket queue dramatically. Engineering feels lighter.”
Felipe Carvalho
what clients say
“We went from snowflake stacks to consistent, versioned infra. Onboarding new squads is now frictionless.”
Piotr Kowalski
what clients say
“Policy-as-code and IaC reviews improved our security posture without slowing delivery. Best of both worlds.”
Amina El-Farouk
what clients say
“Clear platform boundaries, great developer portal, and paved roads that actually work. Adoption was immediate.
Grace Campbell
what clients say
“They standardized our environments with Terraform and golden paths—spin-up went from days to under an hour.”
Matteo Ricci
Why platform-projects.com
Opinionated where it matters, flexible where it counts.
Security and compliance designed-in, not bolted on.
Proven accelerators: ready-to-use modules and templates.
Knowledge transfer focused: we make your teams self-sufficient.
What is Platform Engineering and how is it different from DevOps?
Platform Engineering builds internal platforms (tools, golden paths, self-service) that product teams use to deliver software. DevOps is a culture and set of practices; platforms make DevOps easy and consistent at scale.
Do we need to adopt Kubernetes to benefit from Platform Engineering?
No. We design golden paths for your context—VMs, serverless, containers, or Kubernetes. The goal is consistent, secure delivery, not a specific runtime.
We already use Terraform—what will you change?
We standardize modules, introduce structure (e.g., Terragrunt or mono-repo patterns), enforce policy as code, implement state/backups and drift detection, and wire everything into CI/CD and review workflows.
How do you handle security and compliance requirements?
Security is built-in: landing-zone guardrails, least-privilege IAM, secrets management, immutability, SBOM/signing, and continuous checks. We map controls to SOC 2, ISO 27001, CIS Benchmarks, and produce evidence from pipelines.
Can you work with our existing cloud accounts and networks?
Yes. We can retrofit guardrails into existing AWS/Azure/GCP estates or design greenfield landing zones. We avoid disruptive changes while moving you toward the target architecture.
What does a “golden path” include?
A reference service template (code + IaC), CI/CD pipelines, security checks, observability defaults, deployment strategy, runtime configuration, and documentation—so teams can ship with minimal decisions.
How do you measure success of the platform?
We track DORA metrics (deployment frequency, lead time, change failure rate, MTTR), platform adoption, time-to-first-deploy, SLO compliance, and cost per service. Dashboards make this visible.
What are typical timelines and engagement models?
Foundation: 4–6 weeks. Golden paths & portal: 6–10 weeks. Full build-out: 10–16 weeks. We offer fixed-scope packages and ongoing enablement.
Will engineers need lots of retraining?
We minimize cognitive load via templates, docs, and self-service. We also run enablement sessions, pair with your teams, and provide runbooks so adoption is smooth.
Do you support multi-cloud and hybrid setups?
Yes. We standardize workflows and governance across AWS, Azure, and GCP, and integrate on-prem where needed. We avoid lowest-common-denominator designs, keeping provider strengths intact.
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