Google Cloud consulting that gets your GCP infrastructure right

Whether you're architecting a new GCP foundation, migrating workloads, or reducing runaway cloud spend, our engineers work alongside your team to design and deliver infrastructure you can rely on.

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Proof points worth knowing before we talk

18+

Years in business

Over 18 years delivering software and cloud engineering engagements across industries and geographies.

2,500+

Projects delivered

More than 2,500 projects completed, spanning greenfield builds, legacy migrations, and platform re-architecture.

4.9/5

Client rating

Our clients rate us 4.9 out of 5 on average — a reflection of delivery quality and honest communication.

400+

In-house specialists

A team of 400+ engineers, architects, and data specialists available without the delays of subcontracting.

Trusted by global brands

What our Google Cloud consulting covers

From first-day foundation design to ongoing platform engineering, our GCP practice spans the areas that matter most to platform and engineering leaders.

GCP landing zone design

We design and build your GCP foundation — resource hierarchy, IAM policies, networking, and guardrails — so every workload starts from a secure, well-governed baseline.

GKE and Kubernetes engineering

Our engineers architect and operate Google Kubernetes Engine clusters for production workloads, covering autoscaling, multi-tenancy, CI/CD integration, and day-two operations.

BigQuery and data platform

We design BigQuery-centred data platforms — from ingestion pipelines and data modelling to cost governance — so your analysts spend time on insight, not data wrangling.

Vertex AI and generative AI

We help product and engineering teams build, fine-tune, and deploy AI models on Vertex AI, including generative AI features grounded in your own data.

Cloud security and compliance

We implement zero-trust architectures, VPC Service Controls, and Cloud Armor policies to protect workloads and meet regulatory requirements without slowing delivery.

Cloud cost optimisation and FinOps

We audit your GCP spend, right-size resources, and put FinOps practices in place so engineering and finance teams share a clear, actionable view of cloud costs.

Helping Altostack stand out in a crowded DevOps market

Altostack is a cloud DevOps consultancy operating in a competitive space where many players rely on tired, conventional visual language. Without a cohesive brand identity or a clear visual strategy, they struggled to communicate what set them apart to a technically sophisticated audience.

Netguru's Product Design Team ran focused branding workshops to define Altostack's core values, then translated those into a comprehensive style guide, website UI design, and 17 bespoke illustrations — all delivered within four weeks. The result is a complete corporate identity and a landing page that speaks directly to tech-savvy customers, positioning Altostack as a fresh, modern alternative to its more traditionally branded competitors.

Read case study
Altostack case study

How a Netguru GCP engagement works

We follow a structured sequence that gives you clarity early and keeps delivery predictable — no open-ended scopes or surprise pivots.

  1. Discovery sprint

    We spend one to two weeks reviewing your current architecture, business goals, and constraints. You receive a written findings report and a recommended path forward before any build work begins.

  2. Architecture design

    Our architects produce a detailed GCP design — network topology, security controls, data flows, and service selection — reviewed and signed off with your team before we write a line of Terraform.

  3. Build and migration

    We deliver infrastructure-as-code, migrate workloads in prioritised waves, and run parallel validation to keep production risk low. Progress is visible in weekly check-ins.

  4. Handover and knowledge transfer

    We document everything, run working sessions with your engineers, and hand over a platform your team can operate confidently — not one that requires us to stay indefinitely.

  5. Ongoing optimisation retainer

    For teams that want continued support, our retainer model provides a dedicated slice of engineering capacity each month — covering cost reviews, security updates, and platform improvements.

Why work with an independent GCP partner rather than Google directly?

Google's own professional services teams do excellent work, but they operate at scale and prioritise Google's roadmap. An independent partner like Netguru focuses entirely on your outcome, not on product adoption targets.

Our engineers have worked across GCP, AWS, and Azure, which means our GCP recommendations are made because they're the right fit for your workload — not because we're incentivised to push a particular service tier.

On commercial terms, we offer genuine flexibility:

  • Time and materials: Suited to exploratory or evolving scopes where requirements shift as you learn more.
  • Retainer: A fixed monthly capacity block for teams that need predictable, ongoing platform support.
  • Discovery sprint: A short, fixed-scope engagement to produce an architecture assessment and recommendation before committing to a larger programme.

We also onboard faster. Our team is in-house, our GCP practice is established, and we can typically start a discovery sprint within two weeks of a signed agreement.

What our clients say

Netguru's work has resulted in an improved average order value, increased basket size, and higher number of monthly active users. They're proactive, caring, and highly experienced.

Ayman Kaheel

CTO, Breadfast

They leave no stone unturned when it comes to understanding the business context. Thanks to their unique approach, we were able to reduce the workload on our operations team whilst improving the user experience.

Tiago Goncalves Cabaço

VP of Design, Careem

Netguru has been the best agency we've worked with so far. They are able to design new skills, features, and interactions within our model, with a great focus on speed to market.

Adi Pavlovic

Director of Innovation, Keller Williams

Frequently asked questions about GCP consulting

Is Netguru a Google Cloud partner?

We maintain an active relationship with Google Cloud and our engineers hold GCP certifications across professional and specialist tracks, including Cloud Architect, Data Engineer, and Security Engineer. Speak to our team for the current status of our partnership tier.

How much does Google Cloud consulting cost?

Pricing depends on engagement type and scope. A discovery sprint is a short, fixed-price piece of work — typically one to two weeks. Larger build and migration programmes are priced on a time-and-materials basis once the architecture design is agreed. Retainer arrangements are priced as a fixed monthly fee based on the capacity block you need. We share a clear rate card during our first conversation so there are no surprises.

How long does a GCP migration take?

It depends on the size and complexity of your current environment. A focused workload migration — moving a handful of services from another cloud or on-premises — can complete in six to ten weeks. A full enterprise migration involving many teams, legacy systems, and compliance requirements typically runs over several months in planned waves. Our discovery sprint produces a realistic timeline before you commit to a full programme.

How do you handle security and compliance during a migration?

Security is designed in from the start, not added at the end. We establish your GCP landing zone with IAM least-privilege policies, VPC Service Controls, and audit logging before any workloads move. For regulated industries, we map controls to relevant frameworks — such as ISO 27001, SOC 2, or GDPR requirements — during the architecture design phase. Cloud Armor and zero-trust network access are configured as standard for internet-facing workloads.

Can you work with our existing engineering team rather than replacing them?

Yes — this is our most common model. We typically embed alongside your engineers, contributing specialist GCP depth while your team retains ownership of the platform. We treat knowledge transfer as a deliverable, not an afterthought, so your team's capability grows throughout the engagement.

Do you offer support after the migration is complete?

We do. Our retainer model provides a dedicated block of engineering time each month, which teams use for cost optimisation reviews, security patching, architecture improvements, and incident support. You can scale the retainer up or down with reasonable notice as your needs change.

Ready to talk about your GCP architecture?

Book a free, no-obligation discovery call with one of our GCP architects. We'll ask the right questions, give you an honest assessment of your current setup, and outline what a practical path forward looks like.

Book a free discovery call