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Cloud & Infrastructure

Google Cloud solutions for hosting, data analytics and AI, set up securely and sized to your workload.

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Overview

About Google Cloud

Google Cloud provides compute, storage, databases, analytics and AI services. It is often chosen for data-heavy and analytics workloads, containerised applications and teams that already use Google Workspace.

We help you structure projects and permissions, choose the right managed services and keep an eye on cost, so the platform supports your plans instead of adding complexity.

How we workSix stages, from discovery to managed support
Ways to engageAssessment, project or managed
Plain-language scope, written down
What is included

What is included in Google Cloud

The typical building blocks. Scope is agreed with you in writing and tailored to your situation.

Everything is scoped before work begins
01

Project and access structure

A clear organisation of projects, roles and billing.

02

Networking and security

Private networking, encryption and audit logging.

03

Application hosting

Managed compute and containers for web and backend workloads.

04

Data and analytics

Warehouses, pipelines and reporting built on managed services.

05

Monitoring

Dashboards and alerts for health and spend.

06

Handover

Documentation and training for your team.

Built around outcomes you can check
Outcomes

Why teams choose Google Cloud

Strong fit for data work

Analytics and machine learning tools are close to your data.

Managed services

Less infrastructure for your team to look after.

Clear billing

Projects make it easy to see what each system costs.

This is a good fit if

  • You work with large datasets or analytics.
  • You use Google Workspace and want tighter integration.
  • You run containers and want managed options.
Talk to a consultant
Problems we solve

Does this sound familiar?

Hosting that is slow, unmonitored or over-priced

Migrations that risk downtime and data loss

No tested backup or recovery plan

Architecture

How it fits together

A typical reference architecture, from your data to the people who use it.

  1. Layer 1Source environment
  2. Layer 2Landing zone and network
  3. Layer 3Workloads and data
  4. Layer 4Monitoring and backups

Technology we typically work with

AWS / Azure / GCPDockerGitHub ActionsTerraformNginx / LinuxPrometheus / Grafana
Methodology

Six stages, the same every time

You always know which stage you are in and what comes next.

Workshops, reviews and demos at every stage
  1. Stage 1

    Discover

    Workshops and stakeholder interviews to define goals and constraints.

  2. Stage 2

    Assess

    Current-state review of systems, data, security and spend.

  3. Stage 3

    Architect

    Target design, integration map and phased plan with owners.

  4. Stage 4

    Implement

    Build in short releases with demos, tests and staging sign-off.

  5. Stage 5

    Optimize

    Measure against agreed KPIs and tune performance and cost.

  6. Stage 6

    Manage

    Monitoring, support and a monthly review with an account manager.

Security

Security and governance

How the work is kept safe and accountable.

  • Least-privilege access and secrets manager
  • Restore tests on a schedule
  • Staging and production isolated

Industries we have worked in

Engagement

Ways to work together

Scope and price are confirmed in writing by a consultant after discovery.

Start here

Assessment

A fixed-scope review that ends in a written roadmap you can keep, with or without us.

  • Current-state review
  • Ranked priorities
  • Written roadmap
Talk to us

Project

Defined scope, milestones and acceptance criteria for building or migrating something specific.

  • Phased plan with owners
  • Short releases and demos
  • Handover and training
Talk to us

Managed

A monthly retainer once it is live: monitoring, support and a regular review.

  • Monitoring and backups
  • Named account manager
  • Monthly review
Talk to us
Client voices

What clients say about working with us

Our team had tried to sort out Google Cloud alone. The work was split into small steps we could review. It felt like working with our own team.
NRNoah ReddyProduct Owner, Ironwood Logistics
Choosing a partner for Google Cloud was a big decision for us. They told us when something was not a good fit for us. It felt like working with our own team.
RKRahul KhanHead of Digital, Silverline Works
Our team had tried to sort out Google Cloud alone. Questions were answered directly, including the ones about trade-offs. It was a calm, well-organised project.
FKFatima KapoorOperations Manager, Juniper Studio
Our Google Cloud project had stalled before we called Bedre. They told us when something was not a good fit for us. It felt like working with our own team.
FBFatima BennettOperations Manager, Crestview Motors
Choosing a partner for Google Cloud was a big decision for us. They explained the options in plain words and let us decide. It was a calm, well-organised project.
LGLayla GuptaHead of Operations, Kestrel Health
Our Google Cloud project had stalled before we called Bedre. They told us when something was not a good fit for us. It was a calm, well-organised project.
RGRahul GuptaSales Director, Solace Studio

No. It can suit smaller teams, especially for managed hosting and analytics, with costs sized to use.

Yes. A migration plan covers what moves, in what order and how to reduce downtime.

By favouring open standards and portable designs where it makes sense.

It depends on scope. The Assess stage produces a timeline you can review before committing.

You do. Domains, cloud accounts and data stay in your name wherever possible.

Usually yes. The Architect stage lists connectors and any limits.

Ready to scope Google Cloud?

Tell us the outcome you want. We will bring the plan.