Google Cloud Platform (GCP) Engineering
Design, automate, optimize, and operate on GCP with patterns that leverage Google's strengths while keeping operations practical and maintainable.
We help structure projects, networks, compute, CI/CD, observability, identity, and governance so your teams can build and operate confidently on GCP.
Technical scope
Project structure & organization strategy
We design GCP project and folder structures that give you clear boundaries for environments, teams, and workloads.
- High-level project and folder organization aligned to your organization.
- Baseline policies and configuration for security and compliance.
- Environment separation patterns that support safe releases and testing.
VPC and networking patterns
We help define VPC, subnet, and routing concepts that keep services connected and secure without unnecessary complexity.
- High-level VPC and subnet patterns for your core environments.
- Routing and connectivity approaches for hybrid and cloud-only setups.
- Network security considerations that support least-privilege access.
Compute & Storage Strategy
We guide VM, managed instance groups, and storage usage so workloads have appropriate performance, resilience, and cost characteristics.
- VM sizing and machine family guidance for representative workloads.
- Persistent disk strategies for performance and lifecycle management.
- High-level patterns for managed instance groups or serverless options where appropriate.
CI/CD Integration
We implement CI/CD using GitHub Actions or Cloud Build pipelines and can integrate with Octopus Deploy where it makes sense.
- CI workflows for build, test, and validation using GitHub Actions or Cloud Build.
- Deployment patterns for GCP resources and applications, including Octopus Deploy where used.
- Consistent promotion flows across dev, test, staging, and production.
Cost visibility & optimization
We make use of GCP billing and cost management capabilities to analyze spend and shape usage, budgets, and alerts.
- Review of current GCP usage to identify optimization opportunities.
- Budget and alert configuration using GCP billing and cost management.
- Practical recommendations that teams can execute and maintain.
Observability
We help set up monitoring using Cloud Monitoring and Cloud Logging concepts at a high level, aligned to your existing tools where appropriate.
- Monitoring and alerting baselines using Cloud Monitoring or compatible tools.
- Logging approaches that support troubleshooting and audit needs.
- Simple dashboards or views for key services and environments.
Identity & Access Governance
We apply Cloud IAM and policy concepts so access is controlled and auditable while remaining workable for engineering teams.
- High-level identity and access patterns using Cloud IAM and service accounts.
- Policy approaches that support compliance and guardrails without blocking delivery.
- Integration with existing identity and approval processes where needed.
Engineering principles
Infrastructure is code, not clicks — declarative, version-controlled, reviewable.
Automation over manual processes — repeatable pipelines and patterns.
Least-privilege by default — access scoped to what is required.
Observability as a first-class concern — metrics, logs, and alerts from day one.
Cost awareness at design time — right-sizing and lifecycle built into architecture.
Secure-by-design architecture — security and governance embedded, not bolted on.
Tooling & stack
We use tools we know and that fit your environment. No exaggeration; we list what we use.
Cloud platforms
- AWS
- Azure
- GCP
Automation
- GitHub
- Octopus Deploy
- CI/CD pipelines
Infrastructure
- IaC (Terraform, Bicep, CloudFormation)
- Containers (Docker, Kubernetes where used)
- Version control (Git)
Monitoring
- Metrics and dashboards
- Centralized logging
- Alerting and on-call tooling
AI (when applicable)
- Model integration and APIs
- Cloud-hosted inference
- API-driven AI systems
Implementation methodology
We follow a structured, outcome-focused approach: discovery and scope, design and review, implementation in iterations, and handover with documentation and knowledge transfer. Delivery is phased so you have visibility at each step.
Deliverables
Concrete outputs you receive so delivery is tangible and reviewable.
- Architecture diagrams (current and target state)
- Infrastructure repository (IaC: Terraform, Bicep, or CloudFormation as applicable)
- Pipeline configuration and deployment workflows
- Monitoring dashboard setup and alerting rules
- Security baseline and access model documentation
- Cost optimization report and prioritized action plan
- Operational runbooks and escalation paths
- Handover workshop and knowledge transfer session
Engagement model
Our engagement models apply equally to GCP-focused work and multi-cloud initiatives.
Cloud Assessment
1–2 weeksIncludes
- Current-state review of AWS, Azure, and/or GCP
- Risk and opportunity analysis
- Prioritized roadmap with quick wins and longer-term work
- Executive-friendly summary of key findings
Best for: Teams needing clarity on where to start.
Foundation Build
2–6 weeksIncludes
- Baseline AWS, Azure, and/or GCP landing zone
- Infrastructure as Code for core platform
- Initial CI/CD pipelines wired to environments
- Monitoring, alerting, and security guardrails
Best for: Teams building or standardizing a cloud platform.
Optimization & Operations
OngoingIncludes
- Regular cost optimization and FinOps reviews
- Reliability and incident reduction initiatives
- Support for platform changes and improvements
- Advisory support for roadmap and architecture decisions
Best for: Teams investing in continuous improvement.
Ideal clients
- •Teams with existing AWS, Azure, or GCP usage who want to standardize and optimize.
- •Engineering organizations ready to adopt or mature IaC and CI/CD.
- •Leaders who need cost visibility, governance, and reliability without hype.
- •Companies that want hands-on engineering delivery and knowledge transfer.
Scope and boundaries
Clear scope builds credibility. We are explicit about what we do and what we do not do.
We focus on
- ✓Cloud platform engineering (AWS, Azure, GCP)
- ✓DevOps and CI/CD automation (e.g. GitHub, Octopus Deploy)
- ✓FinOps and cost engineering
- ✓Reliability, observability, and SRE practices
- ✓Security and governance (IAM, policy, audit)
- ✓AI systems integration and production AI deployment
We do not
- ✕Resell or bundle random SaaS tools
- ✕Build generic marketing or WordPress sites
- ✕Provide unmanaged outsourcing or body-shop staffing
- ✕Claim certifications or metrics we cannot substantiate
- ✕Deliver infrastructure as one-off clicks without code or documentation
FAQ
Let's build a reliable GCP platform.
Talk to us about your GCP project structure, CI/CD, cost, or operations. We'll help you chart a practical path.
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