DevOps & Cloud
Google Cloud
GCP project structure, networking, and managed services for product workloads.
Google Cloud work for teams building on GCP: project and folder hierarchy, VPC design, IAM, and managed services such as GKE, Cloud Run, or Cloud SQL. We keep architectures pragmatic and encode them so environments stay reproducible.
Request a quote
Who it’s for
- • Product teams choosing GCP for data or container workloads
- • Orgs adopting Cloud Run or GKE for services
- • Companies needing cleaner GCP IAM and project hygiene
Problems we address
- • Projects proliferate without folder or IAM discipline
- • Networking and service identity are poorly understood
- • Environments diverge because changes were click-ops
Expected outcomes
- • Project hierarchy and IAM patterns that match ownership
- • VPC and service connectivity designed for your apps
- • Infrastructure as code for environments you will keep
Capabilities
Concrete engineering capabilities included in a typical engagement for this service.
GCP organization/folder/project guidance
VPC, Cloud NAT, and private service access patterns
Cloud Run, GKE, or Compute Engine as appropriate
Cloud SQL and storage baselines
Cloud Monitoring and Logging hooks
Technology
Representative technologies used for this service. Final stack depends on your estate.
- Google Cloud
- Terraform
- GKE
- Cloud Run
- Cloud SQL
- Cloud Monitoring
Architecture
Delivery pipeline
Source control through CI into containerized deploy and cloud runtime.
Deliverables
- • Scoped GCP foundations implemented
- • IaC for core resources
- • IAM and network documentation
- • Operational runbook snippets
Out of scope
- • GCP billing account ownership transfer
Timeline
Typical timeline
2–8 weeks
Timeline depends on scope, access, and dependencies—not a delivery guarantee.
Process
A clear delivery path from discovery through handover and optional support.
01
Discovery
Goals, constraints, success criteria, and current-state review.
02
Architecture
Target design, interfaces, risks, and delivery sequence.
03
Implementation
Incremental build with visible progress and documented decisions.
04
Testing
Functional checks, failure paths, and acceptance criteria validation.
05
Deployment
Controlled release to staging and production with rollback paths.
06
Handover
Runbooks, access notes, and operator/admin walkthrough.
07
Support
Optional hypercare window or retainer continuity after go-live.
Custom engagement
Pricing depends on architecture, traffic profile, and integration depth. Share your requirements for a scoped quote.
Related services
DevOps & Cloud
Cloud Architecture
Target cloud designs for networking, tenancy, data, and operational boundaries.
DevOps & Cloud
Infrastructure as Code
Reproducible cloud foundations with modules, state, and reviewable changes.
DevOps & Cloud
Kubernetes
Container platforms on Kubernetes with delivery, scaling, and observability baselines.
DevOps & Cloud
Cloud Migration
Planned workload moves to cloud with cutover paths and risk controls.
DevOps & Cloud
Observability
Unified metrics, logs, and traces so systems explain themselves under load.
DevOps & Cloud
AWS
AWS foundations, workload landing, and operational hardening on Amazon Web Services.
Related work
Example / concept projects shown for illustration unless otherwise verified.
FAQ
Cloud Run suits many request-driven services with less ops overhead. GKE fits when you need broader Kubernetes capabilities or existing k8s workloads.
We can design app and data plane boundaries that include BigQuery. Deep analytics modeling is better paired with data/analytics workstreams.
Ready to build?
Tell us about your environment, constraints, and target outcomes. We’ll recommend a package or a scoped quote.