Cloud Computing & DevOps
Google Cloud Platform Solutions
Building and running applications and data workloads on Google Cloud, from Cloud Run and GKE to BigQuery, with secure projects, sensible networking and predictable costs.
Overview
Why it matters
for your business.
Google Cloud stands out for managed containers, serverless services and analytics. Teams using Google Workspace, Firebase or BigQuery often find it a natural home. Still, structuring projects, IAM, shared VPCs and billing well is essential, or environments quickly become hard to secure and expensive to run. We help you set it up properly.
Our engineers establish a resource hierarchy with folders and organisation policies, then deploy workloads on Cloud Run, GKE, Compute Engine or Cloud SQL as appropriate. Data teams get BigQuery datasets with access controls and cost guardrails. Regions in Mumbai and Delhi support Indian data residency, and Cloud Monitoring and Cloud Logging give operational visibility from launch.
What's included
- Organisation, folder and project structure
- IAM design and organisation policy constraints
- Shared VPC and network configuration
- Workloads on Cloud Run, GKE or Compute Engine
- BigQuery datasets with access and cost controls
- Cloud Monitoring, Logging and budget alerts
Outcomes
What changes
for your business.
Ideal for
- Teams already using Firebase or Workspace
- Data-driven companies adopting BigQuery
- Startups building container-based applications
Clean project structure
Folders, projects and policies make it clear who owns what and keep environments separated and secure.
Less server management
Managed and serverless services such as Cloud Run reduce patching and capacity planning effort for your team.
Analytics on tap
Operational data can flow into BigQuery for reporting, with controls that keep query costs predictable.
How we deliver
A clear, accountable
process.
Every engagement follows the same disciplined approach, adapted to the size and urgency of your project.
- 01
Assess
We review your current systems, costs, risks and constraints, and agree what success looks like.
- 02
Design
You get a target architecture and a phased roadmap with clear effort, risks and dependencies.
- 03
Implement
We build, configure or migrate with change control, testing and minimal disruption.
- 04
Operate & optimise
Monitoring, documentation and regular reviews keep performance, security and costs on track.
Ways to work with us
- Fixed-price projectsDefined scope, milestones and deliverables.
- Consulting retainersOngoing technical and business advisory.
- Implementation & integrationOne-time technology deployment and integration.
- Monthly managed servicesRecurring application, IT, marketing or infrastructure support.
FAQ
Common
questions.
Something else on your mind? Ask us directly.
We started on Firebase. Can we grow into wider Google Cloud?
Yes. Firebase projects are Google Cloud projects underneath, so you can add Cloud Run services, Cloud SQL or BigQuery without starting again. We help restructure IAM and environments so development, staging and production are properly separated as you grow.
How do you stop BigQuery costs from spiralling?
We set up partitioned and clustered tables, query cost limits per user or project, budget alerts and, where useful, reservations for steady workloads. Analysts are shown simple habits, such as previewing data instead of running full scans.
Let's talk about Google Cloud Platform Solutions.
Tell us what you need and get a clear plan and proposal, free and with no obligation.