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Architecture documents define what should be built. Implementation is where the decisions documented in those designs are tested against reality — where the VPC peering that looked straightforward on a diagram reveals an overlapping CIDR range, where the IAM design meets the actual service account requirements of the application, where the database sizing estimate encounters the real data volume.
We run cloud implementation engagements with the same discipline applied to complex software projects: version-controlled Infrastructure as Code, peer-reviewed change sets, a non-production environment that is validated before anything touches production, and documentation that reflects what was actually built — not the original design unchanged.
The foundation of every GCP implementation is the landing zone: organization structure, folder hierarchy, project architecture, billing account linkage, and the baseline IAM bindings and org policies that govern every project in the environment. We implement landing zones that are ready to host production workloads from day one — not placeholder environments that require significant rework before they can be used.
VPC configuration, subnet allocation, firewall rule sets, Cloud NAT, Private Google Access, VPN or Cloud Interconnect configuration for hybrid environments, and VPC Service Controls for environments with strict data perimeter requirements. Every network configuration is documented and implemented as code.
GCE instances, GKE clusters, Cloud Run services, or App Engine applications — provisioned and configured against the approved architecture. For containerized workloads, we handle cluster configuration, node pool sizing, workload identity setup, and namespace structure. For Cloud Run workloads, we configure service accounts, IAM invoker bindings, environment variables via Secret Manager, and traffic split configuration.
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Cloud SQL instances with appropriate high-availability and read replica configuration, BigQuery datasets with access control bindings, Cloud Storage buckets with lifecycle policies and retention rules, Memorystore instances, and Pub/Sub topics and subscriptions. Every data resource is provisioned with backup and recovery configuration.
Cloud Monitoring dashboards, uptime checks, alerting policies with escalation channels, Cloud Logging log sinks with appropriate retention, and Error Reporting configuration. We deliver a working observability stack as part of every implementation engagement — not a recommendation document to set one up later.
All resources are provisioned via Terraform modules. The Terraform state is stored in a Cloud Storage backend with state locking. Module structure follows a pattern that supports future modifications — resources are parameterized, not hardcoded. The Terraform codebase is handed over to your team or managed services provider as part of the engagement.