Google Cloud Platform Integration
Enterprise governance, GKE fleet management, and BigQuery cost analysis for Google Cloud Platform. Unlock the power of Google infrastructure securely.
Product Workflow
A seamless, automated execution flow built for the enterprise.
Key Capabilities
Maximize your investment in Google Cloud Platform. MacroCloud provides specialized tooling for Google Kubernetes Engine (GKE), BigQuery cost controls, and complex GCP organizational hierarchies.
Recommended Industries
Who This Is For
- GCP Cloud Architects
- Data Engineering Teams
- Platform Engineering
- FinOps Practitioners
- GCP Migration: Automated lift-and-shift of VMware workloads to Google Compute Engine (GCE).
- GCP Governance: Enforce Organizational Policies and IAM conditional bindings across folders and projects.
- GCP Automation: Generate Google Cloud Deployment Manager and Terraform scripts natively.
- BigQuery FinOps: Identify expensive queries, unused datasets, and enforce strict quota limits to prevent billing shocks.
- GKE Fleet Management: Deploy Anthos Service Mesh and enforce policies across massive GKE clusters.
Business Outcomes
Native Folder Hierarchy
MacroCloud respects and utilizes the GCP Resource Hierarchy. Apply a policy at the Folder level, and it automatically cascades down to all associated Projects and resources.
BigQuery Cost Control
BigQuery pricing can be unpredictable. We provide query-level cost attribution and automated alerts before runaway analytics jobs blow your monthly budget.
AI/ML Workload Optimization
Optimize your Vertex AI and Cloud TPU spend. Automatically pause idle notebook instances and right-size training clusters to maximize ROI on AI investments.
VPC Service Controls
Automate the deployment of complex VPC Service Controls to create secure perimeters around sensitive GCP APIs, preventing data exfiltration.
Core Use Cases
GKE Autopilot Governance
Enforce strict container registry image signing requirements (Binary Authorization) before any pod can be scheduled on GKE clusters.
Cloud Spanner Scaling
Use predictive AI models to automatically scale Cloud Spanner processing units up during peak hours and down during off-hours to save costs.
Shared VPC Automation
Automatically orchestrate subnets and firewall rules in a host Shared VPC when new service projects are onboarded by developer teams.