Flat project structure
Projects are created without a folder or organization hierarchy to apply policy consistently.
Google Cloud shines for teams doing serious data and container work. We architect GKE clusters that are actually secure, BigQuery data platforms that scale, shared VPC networking that stays sane, and Cloud Armor protection at the edge. If your center of gravity is analytics or Kubernetes, GCP is often the right call, and we'll build it well.
Resolving inconsistent multi-account setups, unmanaged network egress, security drift, and unplanned cloud expenditure.
Projects are created without a folder or organization hierarchy to apply policy consistently.
VPCs are built per project instead of a shared, centrally managed network model.
Public-facing services run without consistent edge protection or IAM boundaries.
We architect GKE clusters that are actually secure, BigQuery data platforms that scale, shared VPC networking that stays sane, and Cloud Armor protection at the edge. If your center of gravity is analytics or Kubernetes, GCP is often the right call, and we'll build it well.
Multi-folder enterprise structures, automated billing controls, and Organization Policies enforcing US-region data residency.
Host and service project network isolation, Cloud Interconnect to on-prem datacenters, and Cloud Armor edge security.
Hardened Kubernetes with GKE Enterprise fleet management, Binary Authorization, and private cluster endpoints.
Serverless, petabyte-scale analytics, BigLake governed storage, and real-time streaming pipelines with Cloud Dataflow.
Private enterprise AI deployment, custom foundation model fine-tuning, and vector search with Dataplex data lineage.
Real-time asset discovery, vulnerability assessment, container threat detection, and continuous regulatory mapping.
Architected with automated guardrails, hub-spoke network topology, policy enforcement as code, and central logging.
Understand the business goal, current environment, risks and constraints before any design work begins.
Design the target operating model, controls and integration points so the solution fits how the business actually runs.
Build and configure the solution using repeatable, reviewed engineering practices, not one-off manual work.
Test against real scenarios and security requirements before anything reaches production.
Hand over documentation, runbooks and support so the client team can run the result with confidence.
Every phase ends with a documented deliverable and a clear go/no-go decision before the next one starts.
Systematic workload assessment, automated Terraform deployment, cutover execution with rollback protection, and FinOps tuning.
Review existing projects, folder structure and network design.
Define folder and project structure with policy applied at the right level.
Implement Shared VPC, GKE and supporting infrastructure.
Hand over with Cloud Logging and Cloud Armor protections in place.
Accelerate feature delivery across compliant infrastructure with US data residency built in.
Projects sit under an organization and folder structure that policy can target directly.
Centralized networking gives teams consistent connectivity and segmentation.
Cloud Armor and IAM boundaries protect GKE and public-facing services.
Built on leading enterprise cloud providers and automation platforms tested for mission-critical reliability.
One cloud base that every team reuses, so new setups are quick and stay in line.
Read the storyDirect answers regarding architecture choices, migration timelines, and operating ownership.
Often for BigQuery-scale analytics or a strong Kubernetes footprint. Otherwise it's workload-by-workload.
Yes, reusable landing zones let us keep governance consistent across clouds.
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