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GCP

GCP programs that fit data and ML—IAM hierarchy, networking, and services leveraged with clear FinOps guardrails.

What you get with Quipus GCP

We design around projects/folders and VPC patterns that isolate blast radius while keeping shared services usable. BigQuery/GKE/Vertex choices tie to data gravity and team skills.

Billing hygiene: budgets, labels, and recommendations—so growth doesn’t surprise finance.

GCP pillars

Org & IAM

Hierarchy, groups, and service accounts with least privilege.

  • Workload identity
  • Org policies
  • VPC SC

Data & ML

Pipelines and notebooks with lineage and secure access.

  • BigQuery
  • Dataflow
  • Vertex

Platform ops

GKE best practices, autoscaling, and observability integrations.

  • Config Connector
  • Cloud Ops
  • SLOs

Key elements of our GCP process

[001]
Discovery & alignment

We frame outcomes, constraints, and success metrics for GCP within your Cloud & Platform Engineering roadmap—so scope, stakeholders, and dependencies are clear before delivery accelerates.

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[002]
Build & delivery

Senior practitioners ship GCP in tight loops with demos, quality gates, and visibility—so your team can steer without surprises.

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[003]
Measure & learn

We wire instrumentation, feedback, and review rituals around GCP so decisions reflect real usage in your product—not assumptions.

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[004]
Handover & longevity

Documentation, enablement, and clear ownership so GCP keeps delivering value after the engagement—your org stays in control.

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Capability benefits

What GCP can unlock

01

Data-forward cloud

Architectures that suit analytics and ML without bespoke glue.

02

Cleaner IAM stories

Hierarchical permissions reduce sprawl and mistakes.

03

Cost-aware growth

Labels and budgets make spend attributable and actionable.

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GCP with Quipus: what we offer

Landing zone

Project structure, networking, and baseline security.

Workload migration

Plans and execution from on-prem/other clouds with validation.

FinOps

Commitments, rightsizing, and cleanup programs.

Enablement

Patterns and training for developers and data teams.

Related content

[001]
All of Cloud & Platform Engineering

Explore the full Cloud & Platform Engineering practice area—pillars, outcomes, and how we embed with your team.

View practice area
[002]
Related: Cloud Architecture

Complementary capability within Cloud & Platform Engineering that teams often combine with GCP.

Explore capability
[003]
Related: DevOps

Another focus area our clients pair with GCP for end-to-end delivery.

Explore capability

Answers to CommonQuestions

Clear answers about GCP within Cloud & Platform Engineering—how we scope work, what we need from you, and how engagements typically run.