Enterprise AI, cloud modernization, cybersecurity and platform engineering.
Google Cloud

Google Cloud, especially where data and Kubernetes matter.

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.

Architecture
Production Topology & Control Plane LIVE PACKET FLOW
TLS 1.3 / mTLS NIST Aligned Zero Public Egress
Google Cloud Enterprise Foundation - us-east4Shared VPC & Cloud RouterObservability & Threat CommandSecurity Command Center PremiumCloud Logging & Cloud MonitoringOrganization Hierarchy & PoliciesResource Manager & Folders StructureWorkload Identity FederationCloud KMS CMEK Customer KeysEnterprise Application RuntimeGKE Enterprise Hardened Autopilot ClustersCloud Run Serverless ContainersIntelligent Data Cloud & AIBigQuery Petabyte Serverless LakehouseVertex AI Private Models & PipelineDataplex Data Governance & CatalogShared VPC Host & Service ProjectsCloud NAT & Cloud Private Service ConnectZero-Trust Perimeter & EdgeCloud Armor DDoS & Web Application FirewallCloud Load Balancing & Cloud CDNDedicated Cloud Interconnect 100G
Cloud Complexity

Google Cloud Consulting challenges we solve.

Resolving inconsistent multi-account setups, unmanaged network egress, security drift, and unplanned cloud expenditure.

01

Flat project structure

Projects are created without a folder or organization hierarchy to apply policy consistently.

02

Ungoverned networking

VPCs are built per project instead of a shared, centrally managed network model.

03

Limited workload protection

Public-facing services run without consistent edge protection or IAM boundaries.

Cloud solutions illustration
Solution overview

Google Cloud Consulting designed for production readiness.

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.

01

GCP resource hierarchy & org policies

Multi-folder enterprise structures, automated billing controls, and Organization Policies enforcing US-region data residency.

02

Shared VPC & enterprise connectivity

Host and service project network isolation, Cloud Interconnect to on-prem datacenters, and Cloud Armor edge security.

03

GKE Enterprise & cloud-native delivery

Hardened Kubernetes with GKE Enterprise fleet management, Binary Authorization, and private cluster endpoints.

04

BigQuery modern data lakehouse

Serverless, petabyte-scale analytics, BigLake governed storage, and real-time streaming pipelines with Cloud Dataflow.

05

Vertex AI private pipelines

Private enterprise AI deployment, custom foundation model fine-tuning, and vector search with Dataplex data lineage.

06

Security Command Center (SCC) Premium

Real-time asset discovery, vulnerability assessment, container threat detection, and continuous regulatory mapping.

Cloud Foundation Blueprint

Governed landing zone & highly resilient cloud architecture.

Architected with automated guardrails, hub-spoke network topology, policy enforcement as code, and central logging.

  1. Understand the business goal, current environment, risks and constraints before any design work begins.

  2. Design the target operating model, controls and integration points so the solution fits how the business actually runs.

  3. Build and configure the solution using repeatable, reviewed engineering practices, not one-off manual work.

  4. Test against real scenarios and security requirements before anything reaches production.

  5. Hand over documentation, runbooks and support so the client team can run the result with confidence.

Delivery model
5 Phases
Milestone-Gated Delivery Model

Every phase ends with a documented deliverable and a clear go/no-go decision before the next one starts.

01
Discover Scope, Baseline Map & Constraints
02
Architect Target Architecture & Threat Model
03
Implement IaC Automation & Landing Zones
04
Validate Security Audit & Compliance Gate
05
Operate Runbooks & Practical Handover
Documented Deliverable & Formal Go/No-Go Decision Gate No code or infrastructure moves to production without passing automated compliance checks and client review.
Zero Vendor Lock-In Delivered into client Git & cloud accounts
Infrastructure-as-Code Terraform / Bicep repeatable blueprints
Operational Runbooks Knowledge transfer & team enablement
Cloud Delivery Model

Structured workload migration & cloud modernization roadmap.

Systematic workload assessment, automated Terraform deployment, cutover execution with rollback protection, and FinOps tuning.

01

Assess the current setup

Review existing projects, folder structure and network design.

02

Design the org hierarchy

Define folder and project structure with policy applied at the right level.

03

Build networking and workloads

Implement Shared VPC, GKE and supporting infrastructure.

04

Operate and protect

Hand over with Cloud Logging and Cloud Armor protections in place.

Cloud Value & Resilience

Enterprise agility, predictable cloud spend & high availability.

Accelerate feature delivery across compliant infrastructure with US data residency built in.

01

Organized folder hierarchy

Projects sit under an organization and folder structure that policy can target directly.

02

Shared VPC networking

Centralized networking gives teams consistent connectivity and segmentation.

03

Protected workloads

Cloud Armor and IAM boundaries protect GKE and public-facing services.

Cloud Ecosystem

Certified cloud platforms & Infrastructure as Code tools.

Built on leading enterprise cloud providers and automation platforms tested for mission-critical reliability.

Google Cloud (GCP) Google Kubernetes Engine (GKE) BigQuery Vertex AI Cloud Armor Shared VPC Security Command Center Terraform
Cloud FAQ

Practical questions regarding cloud landing zones and migration.

Direct answers regarding architecture choices, migration timelines, and operating ownership.

Why Google Cloud over Azure or AWS?

Often for BigQuery-scale analytics or a strong Kubernetes footprint. Otherwise it's workload-by-workload.

Can you run a multi-cloud setup including GCP?

Yes, reusable landing zones let us keep governance consistent across clouds.

Free first call

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