GCP Cloud Infrastructure & Platform Engineering

Modular Terraform. Zero-Trust Security. Full Code Ownership.

Manual cloud provisioning (ClickOps), unversioned configurations, and fragmented CI/CD pipelines turn infrastructure into an operational bottleneck. This service architects reproducible, audit-ready cloud foundations on Google Cloud—replacing ad-hoc server management with deterministic Infrastructure as Code (IaC) and automated release workflows.

Technical Symptoms We Eliminate

Growing engineering teams on Google Cloud typically hit the same structural failure points before engaging an architectural practice:

  • Configuration Drift & ClickOps: Resources are created or modified manually in the GCP Console. Staging and production environments diverge, making deployments unpredictable and disaster recovery impossible to test.
  • IAM Sprawl & Static Credentials: Over-privileged Service Accounts and downloaded JSON keys stored in CI/CD systems create severe security liabilities and fail European compliance audits.
  • Fragile Deployment Pipelines: Slow, tightly coupled build scripts without automated rollback mechanisms cause release freezes and downtime during peak traffic.
  • Unbounded Auto-Scaling Costs: Compute and serverless workloads scale without concurrency limits, quota guardrails, or resource labeling, leading to sudden billing spikes.
  • EU Compliance & Perimeter Vulnerabilities: Lack of strict data residency enforcement (GDPR), exposed public endpoints, and missing edge protection leave workloads vulnerable to bot traffic and regulatory penalties.
  • Contractor Lock-In: Infrastructure relies on undocumented scripts or proprietary third-party wrappers understood by a single external administrator.

Architectural Implementation Phases

We do not sell open-ended administration hours. We engineer self-contained, documented infrastructure systems across three structured phases.

Phase 1: Cloud Foundation, Network Isolation & Zero-Trust IAM

We establish a secure Google Cloud Landing Zone engineered for strict isolation and European regulatory compliance:

  • Identity & Access Management: Elimination of static service account keys via Workload Identity Federation for GitHub Actions, GitLab CI, and external workloads. Strict least-privilege IAM role bindings.
  • Network Topology & Perimeter Security: Private VPC design, Cloud NAT, Private Google Access, and VPC Service Controls. Edge-level traffic filtering, geo-routing, and bot mitigation via Cloud Armor and Cloudflare.
  • Compliance Enforcement: Organization Policy constraints locking compute and storage strictly to designated EU regions (GDPR compliance) and Customer-Managed Encryption Keys (CMEK) via Cloud KMS.

Phase 2: Modular Infrastructure as Code (Terraform) & Serverless Compute

All manual cloud configurations are refactored into clean, state-isolated Terraform modules:

  • Deterministic IaC Architecture: Environment parity across dev, stage, and prod using modular Terraform with remote state locking in Google Cloud Storage.
  • Serverless & Container Orchestration: High-concurrency workload execution on Cloud Run, asynchronous decoupling via Pub/Sub and Eventarc, and right-sized GKE clusters where stateful orchestration is strictly required.
  • State Import & Refactoring: Safe migration of existing live GCP resources under Terraform state management with zero downtime for active production traffic.

Phase 3: Automated CI/CD, Observability & Native FinOps Guardrails

Infrastructure and application delivery are unified into verifiable, automated pipelines:

  • Immutable Release Pipelines: Automated build, container scanning, and deployment workflows using Cloud Build, GitHub Actions, or GitLab CI, backed by Artifact Registry.
  • Actionable Observability: Structured log routing via Cloud Logging, custom latency and saturation metrics in Cloud Monitoring, and deterministic alerting routed directly to engineering incident channels.
  • Native FinOps Controls: Mandatory cost-allocation labels enforced at the Terraform level, hard concurrency and quota limits on serverless compute, and automated budget circuit breakers to prevent runaway spend.

Deterministic Engineering Deliverables

At the conclusion of the engagement, your internal team receives a complete, self-documented engineering asset—not a black box:

  1. Production-Ready Terraform Repository: Clean, modular HCL code covering networking, IAM, compute, storage, and data layers, committed directly to your corporate Git repository.
  2. Automated CI/CD Workflows: Configured and tested pipeline definitions for both infrastructure provisioning (terraform plan/apply with approval gates) and application deployment.
  3. Security & Topology Specification: Architectural diagrams, IAM matrix documentation, and edge-security configurations ready for external technical due diligence or GDPR audits.
  4. Operational Runbooks: Step-by-step technical documentation for onboarding new developers, provisioning new environments, executing rollbacks, and handling incident alerts.

Architectural Guarantees

  • Zero ClickOps: 100% of provisioned infrastructure is defined as code. If a resource is not in Git, it does not exist in production.
  • Full Code Ownership & Zero Lock-In: We use standard, open-source Terraform and native Google Cloud APIs. No proprietary wrappers or hidden dependencies. Your internal engineers can maintain and extend the platform independently from day one.
  • Native FinOps by Design: Every compute service and network route is architected with unit-cost efficiency in mind—preventing NAT gateway bottlenecks, excessive log ingestion fees, and idle compute allocation.

Engagement Workflow: Zero Blind Fixes

We never modify production infrastructure without a verified architectural baseline.

  1. Step 1 — Infrastructure & Security Audit (Discovery): A fixed-scope technical evaluation of your current GCP organization, IAM posture, network topology, CI/CD bottlenecks, and resource utilization. You receive a defect map and a deterministic refactoring specification.
  2. Step 2 — Fixed-Price Implementation: Execution of Phases 1–3 based on the approved specification, with clear milestones and zero scope creep.
  3. Step 3 — Handover or SLA Support (Audit Credit Scheme): Full knowledge transfer to your internal engineering team. If you opt for an ongoing architectural retainer or SLA support contract (6+ months), 100% of the initial Audit cost is credited toward the contract.

Request a Technical Infrastructure Evaluation

Stop paying for manual server maintenance and unpredictable cloud deployments. Let’s evaluate your current Google Cloud setup and define a deterministic roadmap to a fully automated infrastructure.