Google Cloud Platform (GCP) Solutions

Leverage the power of Google’s data and open-source leadership. We build enterprise-grade GCP solutions that modernize your infrastructure, accelerate app development with Kubernetes, and unlock deep insights through BigQuery and AI.
GCP offers specific advantages in data, AI, and containerization. We help you capture those benefits by designing secure foundations, migrating workloads efficiently, and optimizing your environment for high performance and low operational cost.

Google Cloud Foundation & Landing Zone

Design a structured GCP organization with shared VPCs, strict IAM hierarchies, and centralized logging to support secure enterprise scale.

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GCP Migration & Modernisation

Migrate VMs and databases using Google’s Migration Center, optimizing workloads for Compute Engine or modernizing them to managed services.

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Application Platforms on GCP (GKE, Cloud Run)

Deploy scalable apps on GKE or Cloud Run, utilizing Google's advanced load balancing and traffic management for global, low-latency reach.

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BigQuery & Data Analytics on GCP

Architect petabyte-scale data warehouses in BigQuery, setting up efficient ingestion pipelines and ML integration for real-time insights.

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GCP Security, Compliance & Governance

Protect data with BeyondCorp principles, VPC Service Controls, and Cloud Armor, ensuring your architecture meets strict regulatory needs.

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GCP Cost Optimisation & FinOps

Optimize GCP spend with committed use discounts, rightsizing recommendations, and query tuning to ensure maximum performance at minimum cost.

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Google Cloud Foundation & Landing Zone

We structure your GCP environment for success. We design the hierarchy of folders and projects, along with shared networking and identity policies, to create a landing zone that is secure, manageable, and ready for rapid growth.
  • Organisation, folder and project structure design.
  • VPC, shared VPC, Cloud VPN/Interconnect architectures.
  • IAM hierarchy, service accounts and policy design.
  • Logging/monitoring foundations using Cloud Logging & Monitoring.

GCP Migration & Modernisation

We make migration predictable and efficient. Using Google’s native tools, we assess, plan, and execute the move of your infrastructure and databases, ensuring you transition smoothly from on-premises or other clouds to Google Cloud.
  • Assessments and cost modelling using Google’s Migration Center / RaMP.
  • Lift-and-shift migrations (Compute Engine) and replatforming.
  • Modernisation to managed databases and data platforms.
  • Use of Google’s migration tools for VMs, databases and storage.

GCP Migration & Modernisation

We make migration predictable and efficient. Using Google’s native tools, we assess, plan, and execute the move of your infrastructure and databases, ensuring you transition smoothly from on-premises or other clouds to Google Cloud.
  • Assessments and cost modelling using Google’s Migration Center / RaMP.
  • Lift-and-shift migrations (Compute Engine) and replatforming.
  • Modernisation to managed databases and data platforms.
  • Use of Google’s migration tools for VMs, databases and storage.

Application Platforms on GCP (GKE, Cloud Run)

We master the platform built on containers. Whether using GKE for complex clusters or Cloud Run for serverless simplicity, we architect application environments that leverage Google’s global network for speed and reliability.
  • GKE cluster design (multi-cluster, regional, security & networking).
  • Cloud Run for containerised serverless workloads.
  • App Engine for PaaS-style web and API hosting.
  • Traffic management via Cloud Load Balancing and API Gateway.

BigQuery & Data Analytics on GCP

We build your data engine. We design BigQuery environments that handle massive datasets with ease. From ingestion via Dataflow to cost-optimized querying, we help you turn raw data into a strategic asset for analytics and AI.
  • BigQuery data warehouse design (datasets, partitions, clustering).
  • Data ingestion (Dataflow, Pub/Sub, Transfer Service).
  • Analytics, reporting and ML in BigQuery.
  • Cost control, quotas and performance optimisation for queries.

BigQuery & Data Analytics on GCP

We build your data engine. We design BigQuery environments that handle massive datasets with ease. From ingestion via Dataflow to cost-optimized querying, we help you turn raw data into a strategic asset for analytics and AI.
  • BigQuery data warehouse design (datasets, partitions, clustering).
  • Data ingestion (Dataflow, Pub/Sub, Transfer Service).
  • Analytics, reporting and ML in BigQuery.
  • Cost control, quotas and performance optimisation for queries.

GCP Security, Compliance & Governance

We secure the cloud with Google’s own principles. By implementing VPC Service Controls and Cloud Armor, we protect your apps and data from external threats and exfiltration, aligning your posture with global compliance standards.
  • Org policies, IAM, VPC Service Controls and BeyondCorp-style access.
  • Cloud Armor, WAF, security scanning and SCC (Security Command Center).
  • Data protection and sovereignty patterns (incl. distributed/sovereign cloud where relevant).
  • Compliance mapping to regulatory frameworks.

GCP Cost Optimisation & FinOps

We keep your cloud budget in check. We implement autoscaling strategies and committed use discounts to reduce overhead. By optimizing BigQuery slots and rightsizing compute, we ensure your GCP bill remains efficient and transparent.
  • Rightsizing Compute Engine and GKE workloads.
  • Committed use discounts and autoscaling strategies.
  • Storage and data-processing optimisation (BigQuery, Dataflow).
  • FinOps dashboards, budgets and anomaly detection.

GCP Cost Optimisation & FinOps

We keep your cloud budget in check. We implement autoscaling strategies and committed use discounts to reduce overhead. By optimizing BigQuery slots and rightsizing compute, we ensure your GCP bill remains efficient and transparent.
  • Rightsizing Compute Engine and GKE workloads.
  • Committed use discounts and autoscaling strategies.
  • Storage and data-processing optimisation (BigQuery, Dataflow).
  • FinOps dashboards, budgets and anomaly detection.
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