Google Cloud Platform
scalability and control

Your teams can deliver innovations faster while costs, access, and risk remain fully under control.

Scalable and Secure GCP Platform for Organizations

Google Cloud Platform in large organizations requires a solid foundation: resource hierarchy, landing zone, security baseline, FinOps, and cross-region observability. Without these fundamentals, the cloud quickly generates operational chaos – shadow IT, excessive IAM permissions, unclear data transfer costs, and environments difficult to audit.

We design GCP environments so that secure scaling does not mean losing control. We build consistent cloud foundations, integrating them with legacy systems and on-premise infrastructure. We implement policy-as-code and infrastructure automation (IaC), removing competency barriers and enabling teams to deliver solutions faster, while maintaining full compliance with governance, security, and operational stability.

Technology
variants

Compute, Containers, and Cloud-Native Applications

 

Container Platform

Google Kubernetes Engine (GKE), GKE Enterprise, GKE Autopilot, Artifact Registry, Cloud Run

Compute for Traditional Workloads

Compute Engine, Managed Instance Groups (MIGs), Instance Templates, sole-tenancy, Committed Use Discounts (CUDs)

Serverless and Event-Driven Runtime

Cloud Run, Cloud Functions, Eventarc, Cloud Workflows

Networking, Routing, and Hybrid Connectivity

Google Cloud Core Network

PC (Virtual Private Cloud), regional subnets, Cloud Firewall, Routes, Shared VPC with host/service project separation

On-Prem and Multi-Cloud Connectivity

Cloud Interconnect (Dedicated/Partner), Cloud VPN (HA VPN), Network Connectivity Center

Traffic Distribution and DNS

Cloud Load Balancing (global and regional scaling), Cloud DNS, Cloud CDN, Cloud Service Mesh

Data, Analytics, and Data Platform

Relational and Transactional Databases

Cloud SQL, AlloyDB for PostgreSQL, Cloud Spanner

Data Warehousing and Analytics

BigQuery (Data Warehouse & Lakehouse), Dataplex (data governance), Dataflow (Apache Beam), Dataproc (Spark/Hadoop)

Data Storage

Cloud Storage (object classes), Persistent Disk, Filestore, Google Cloud Backup and DR

NoSQL and Caching

Firestore, Cloud Bigtable, Memorystore (Redis/Memcached)

Identity, Security, and Compliance

Identity and Access Management

Cloud IAM, Cloud Identity, IAM Conditions, Access Context Manager, zero-trust principle

Keys, Secrets, and Certificates

Cloud KMS (Key Management Service), Secret Manager, Certificate Manager

Security Posture and Protection

Security Command Center (SCC Enterprise), Cloud Armor (DDoS/WAF protection), Cloud Audit Logs

MicrosoftAutomation, IaC, and Platform Engineering

Infrastructure as Code

Terraform, Google Cloud Config Connector, Policy Controller (policy-as-code), Kubernetes Resource Model (KRM)

CI/CD and Delivery

Cloud Build, Google Cloud Deploy, Artifact Registry, git-ops integration (Argo CD, Helm)

Platform Patterns for Teams

Enterprise Landing Zone, Shared VPC patterns, Terraform modules (IaC Blueprints), standardized self-service environments

Observability and Reliability

Monitoring and Logging

Cloud Monitoring, Cloud Logging, Cloud Trace, Cloud Profiler, Error Reporting

Configuration and Administration

Cloud Asset Inventory, OS Config, automated patch management

Reliability and Operational Response

Defining and monitoring SLI/SLO, alerting, incident runbooks, managing error budgets

Costs, AI, and Integration

FinOps and Cost Control

Cloud Billing, Budgets and alerts, Recommender (resource optimization), granular labels, CUDs dashboard

AI, ML, and GenAI

Vertex AI platform, Gemini Enterprise models, Document AI, Vision AI

Integration and Eventing

Pub/Sub, Cloud Tasks, Cloud Workflows, API Gateway, Eventarc

GCP IN INDUSTRIES

 

 

 

 

 

business
IMPACT

Faster Innovation Delivery

Environment automation and GitOps enable teams to deliver features in days instead of months. Standardized self-service environments shorten the time to deploy new solutions, directly increasing the ROI of digital projects.

Predictable Spending and FinOps

The transition from CapEx to OpEx is supported with Cloud Billing tools and automated resource optimization. Labeling and alert systems enable full allocation of cloud costs to specific business processes, eliminating infrastructure waste.<

Scaling Without Barriers

Autoscaling services such as GKE and BigQuery allow infrastructure to adapt automatically to sudden workload spikes. This architecture ensures business process continuity without costly resource overprovisioning.

Enterprise-Grade Security and Compliance

Zero Trust, Cloud IAM, VPC Service Controls, and Security Command Center ensure protection of operational data. Environments meet strict regulatory standards, providing full change traceability and resilience against incidents.

Data-Driven Governance and Enterprise-Scale Analytics

Centralizing data in BigQuery allows secure processing of large data volumes in real time. Decision-makers gain a unified analytics platform, removing information silos and providing precise operational metrics.

AI/ML Ops & Automation

vertex AI enables deploying and maintaining ML/AI models directly within the organization. Combining data analytics with process automation supports advanced predictive scenarios, improving operational efficiency and reducing human errors.

Legacy Modernization and Operational Stability

We integrate modern cloud services with the client’s existing on-premise infrastructure. With Cloud Monitoring and Cloud Logging, the organization gains full control over system health, reducing technical debt while ensuring operational safety.

How We Work with Google CLOUD PLATFORM?

 

 

 

 

 

 

WE SUPPORT LEADERS IN
GOOGLE CLOUD PLATFORM TRANSFORMATION

Describe your technological challenge – our senior GCP architects will help you find the optimal path for development. Below, we present example organizations we have worked with on cloud deployments.

FAQ

What specific business objectives should be achieved with GCP?

This includes faster delivery, better analytics, cost optimization, AI implementation, legacy system modernization, and enhanced data security.

Which workloads and data should move to the cloud, and which should remain on-prem?

Analysis helps avoid the “lift-and-shift everything” mistake and identifies resources that truly benefit from migration or require alternative modernization.

What are the requirements for security, compliance, and data location?

We identify sensitive data, user access, and industry-specific regulations to ensure the environment complies with standards from day one.

What does the current architecture and system dependencies look like?

A dependency map reveals hidden connections that can increase risk, cost, and deployment time, helping plan a safe migration.

Does the organization have the competencies and operating model to maintain the GCP platform?

We assess roles, processes, and responsibilities across cloud, security, platform, operations, and FinOps, as well as team readiness for the new model.

What is the cost management plan: budget, allocation, monitoring, and optimization?

We evaluate the total cost of the environment – data transfer, auxiliary resources, redundant instances – and implement monitoring and FinOps optimization mechanisms.

How will the migration be executed: in phases, waves, or “big bang”, and how is success measured?

We define priorities, migration windows, RPO/RTO, tests, and acceptance criteria to ensure a controlled deployment process.

How will GCP impact team workflows, governance, and organizational decision-making?

Cloud adoption changes ownership, approval processes, environment management, and decision-making speed. The transformation plan accounts for these changes to prevent operational bottlenecks.

NEWS & TRENDS

Architecture

DevOps needs support. The Rise of the Software Engineering Platforms

Cloud

Cloud cost optimization

Architecture

Cloud native leads to innovation

Cloud

Cloud optimization: know your rights, grab the opportunities

Architecture

Are you a Cloud Native organization?

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