Integration Details

We deploy our entire data platform within your Google Cloud environment, ensuring you retain full control of your infrastructure and data. Our deployment model creates a dedicated GCP project within your organization's resource hierarchy, where we provision and manage all necessary resources—from Compute Engine instances and Cloud Storage buckets to Cloud SQL databases and VPC networking.

Our GCP integration leverages the comprehensive suite of Google Cloud services to build a scalable, secure, and high-performance data platform:

Deployment Architecture:

• Dedicated GCP project within your organization, optionally organized under a specific folder in your resource hierarchy
• Isolated Virtual Private Cloud (VPC) with custom subnets, firewall rules, and Cloud NAT for secure network segmentation
• IAM policies with service accounts and workload identity for secure, least-privilege access control
• Regional or multi-regional deployment for high availability and disaster recovery

Core GCP Services Integration:

• Compute Engine: Virtual machine instances and managed instance groups for data processing and application workloads
• Cloud Storage: Object storage with multi-regional buckets for data lakes, staging areas, and long-term archival with lifecycle management
• Cloud SQL & Cloud Spanner: Managed relational databases (PostgreSQL, MySQL) with automated backups, high availability, and horizontal scalability
• Virtual Private Cloud (VPC): Network isolation with custom routes, Cloud VPN, and Cloud Interconnect for hybrid connectivity to on-premises systems
• Cloud Functions: Serverless event-driven compute for data ingestion, API integrations, and workflow automation
• Google Kubernetes Engine (GKE): Managed Kubernetes for containerized applications and microservices architectures

Data & Analytics Services:

• BigQuery: Serverless data warehouse for petabyte-scale analytics with real-time data streaming
• Cloud Dataflow: Fully managed Apache Beam pipelines for stream and batch data processing
• Cloud Pub/Sub: Real-time messaging for event-driven architectures and data ingestion pipelines

Governance & Security:

• Infrastructure deployed via Terraform or Cloud Deployment Manager for infrastructure-as-code and version control
• IAM policies and organization policies for fine-grained access controls and compliance guardrails
• Cloud Logging and Cloud Monitoring for comprehensive audit trails, observability, and alerting
• Secret Manager and Cloud KMS for secure credential storage and encryption key management
• VPC Service Controls for data perimeter security around sensitive resources like BigQuery and Cloud Storage

You maintain full ownership and administrative control of your GCP organization and projects. We operate within the dedicated project you provide, managing all infrastructure operations while respecting your organizational policies, resource naming conventions, and regulatory compliance requirements.

FAQs

1. How do you deploy within our GCP environment?

We create a dedicated GCP project within your organization's resource hierarchy—typically under a folder designated for data platforms or workloads. Within that project, we deploy a VPC with appropriate subnets and firewall rules, Compute Engine instances, Cloud Storage buckets, Cloud SQL databases, and other required services. You maintain organization-level controls through organization policies and can monitor all activity through centralized logging and billing. We use service accounts with IAM roles scoped to only that project, ensuring we never have access to other projects in your organization. You retain owner-level access to the organization and project, and can modify or revoke our permissions at any time.

2. What GCP services do you integrate with?

We utilize the full spectrum of Google Cloud services to build your data platform. For compute, we deploy Compute Engine VMs with managed instance groups and leverage Cloud Functions for serverless workloads. For storage, we use Cloud Storage buckets with multi-regional replication and intelligent tiering for data lakes and object storage. For databases, we deploy Cloud SQL (PostgreSQL, MySQL) with high availability configurations and can use Cloud Spanner for globally distributed transactional databases. For networking, we configure VPCs with custom subnets, Cloud VPN or Cloud Interconnect for hybrid connectivity, and Private Google Access for secure service communication. We also integrate with BigQuery for analytics, Cloud Dataflow for ETL pipelines, Pub/Sub for real-time messaging, and GKE for containerized applications.

3. Who manages the GCP project and its resources?

We manage all resources within the dedicated GCP project—from initial provisioning through ongoing operations, scaling, updates, and optimization. This includes managing Compute Engine instances, Cloud Storage buckets, Cloud SQL databases, networking configurations, and monitoring. You retain full ownership and organizational control of the project within your GCP organization, complete cost visibility through Cloud Billing reports, and the ability to enforce organization policies. We provide regular reports on resource usage, cost optimization recommendations, and infrastructure changes. All actions are logged in Cloud Logging for comprehensive audit trails. You maintain ultimate control through organization-level IAM and can review or modify access permissions at any time.