Google Cloud Solutions

Google Cloud Platform Built for Your Scale

We architect, deploy and manage Google Cloud infrastructure — Cloud Run, GKE, BigQuery, Firebase and Vertex AI — right-sized for your workload and optimised for cost from day one.

Trusted by 50+ startups, SMEs and enterprise teams worldwide
Google Cloud Platform architecture and GCP solutions
What's Included

Google Cloud infrastructure engineered for your actual workload

Most cloud bills are 30–40% higher than they need to be because infrastructure was set up without a clear architecture plan. We right-size everything from day one — choosing the right GCP service for each workload and building in cost controls from the start.

GCP Architecture Design

We assess your workload, data volumes and traffic patterns and produce a GCP architecture blueprint — choosing between Cloud Run, GKE, Compute Engine and Cloud SQL based on actual requirements, not defaults.

Cloud Migration

Structured migration of on-premise or multi-cloud workloads to GCP — using lift-and-shift for quick wins and re-platforming to managed services (Cloud SQL, Cloud Run, Firestore) for long-term cost and ops savings.

Cloud Run & Kubernetes (GKE)

Containerised application deployment on Cloud Run (serverless, pay-per-request) or GKE (full Kubernetes for stateful or complex workloads) — with auto-scaling and zero-downtime rollouts.

BigQuery & Data Engineering

Data warehouse setup on BigQuery — with ingestion pipelines from your databases, apps and third-party SaaS tools. Looker Studio dashboards for business-readable reporting on top.

Firebase & Vertex AI

Firebase for real-time databases, authentication and hosting for web/mobile apps. Vertex AI for managed ML model serving, fine-tuning and vector search — without managing GPU infrastructure.

Cost Optimisation

Committed use discounts, right-sized compute instances, Cloud Run for variable workloads, lifecycle policies on Cloud Storage and budget alerts — most clients see 20–40% cost reductions post-optimisation.

Deliverables

  • GCP architecture diagram and technical specification
  • Infrastructure-as-Code (Terraform) codebase
  • CI/CD pipeline via Cloud Build or GitHub Actions
  • Cloud Monitoring dashboards and alert policies
  • Cost optimisation report with committed use recommendations
  • Budget alerts and billing export to BigQuery
  • Security configuration (IAM, VPC, Secret Manager)
  • Runbook documentation for your operations team

Who this is for

  • Startups on the GCP free tier that are hitting limits and need to scale
  • Companies migrating workloads from on-premise servers
  • Teams needing a data warehouse and analytics infrastructure
  • Engineering teams that want GCP managed as a service so they can focus on product

Technologies

Cloud Run GKE (Kubernetes) Cloud SQL BigQuery Firestore Firebase Vertex AI Pub/Sub Cloud Build Terraform Cloud Monitoring
Process

A transparent path from idea to launch

Six clear stages, weekly demos and one shared source of truth — so you always know where things stand.

01

Discovery

Workshops to uncover goals, users and constraints.

02

Planning

Roadmap, architecture decisions and clear estimates.

03

Design

Wireframes and high-fidelity UI validated with users.

04

Development

Agile sprints with weekly demos and code reviews.

05

Testing

Automated QA, security audits and performance tuning.

06

Launch

Smooth deployment, monitoring and ongoing support.

Testimonials

What partners say

A few words from the founders and product leaders we've shipped alongside.

Pragyasuite replaced three vendors with one senior team. They shipped our new platform in 14 weeks and it has scaled to 5x the traffic without a hiccup.

Anika Verma VP Product, Northwind Finance

Rare combination of strong engineering and genuine product thinking. They pushed back when we needed it, and the architecture choices have aged really well.

Daniel Hoffmann CTO, Cargopath Logistics

They modernized a decade-old codebase with zero downtime. Weekly demos kept everyone aligned and the rollout to 12 hospitals went off without surprises.

Folake Adeyemi Head of Engineering, CareSync Health
FAQ

Frequently asked questions

Straight answers to the questions we hear most from clients and prospects.

Which Google Cloud services do you work with?

We work across the full GCP stack: Compute Engine, Cloud Run, GKE (Kubernetes), Cloud SQL, Firestore, BigQuery, Cloud Storage, Pub/Sub, Cloud Functions, Firebase, Vertex AI, and Cloud CDN. We right-size the architecture to your actual load and budget.

Can you migrate our infrastructure to Google Cloud?

Yes. We run structured cloud migrations using Google's LIFT strategy — assessing your workloads, planning the migration roadmap, executing with minimal downtime and optimising costs post-migration. We also handle database migrations (PostgreSQL, MySQL, MongoDB) to managed Cloud SQL or Firestore.

How do you manage costs on GCP?

We implement committed use discounts, right-size compute instances, use Cloud Run for variable workloads (pay-per-request), configure lifecycle policies on Cloud Storage, and set up budget alerts. Most clients see 20–40% cost reductions versus lift-and-shift migrations.

Do you provide ongoing Google Cloud management?

Yes. We offer managed GCP retainers covering monitoring, alerting, security patching, cost reporting and architecture optimisation. We use Cloud Monitoring and Cloud Logging for full observability.

Ready to Build Your Next Software Solution?

Tell us about your project. We'll come back within one business day with a clear next step — no pressure, no jargon.