Managed Services
GCP Managed Services
Operate Google Cloud workloads, from GKE and Cloud Run to BigQuery data platforms, with a team that keeps them secure, reliable and cost-efficient.
Get the Most from Google Cloud Without the Operational Overhead
Google Cloud attracts teams with strong data and analytics services, managed Kubernetes and serverless platforms. BigQuery, GKE, Cloud Run, Pub/Sub, Dataflow and Vertex AI let small teams build powerful products quickly. As usage grows, however, the organization hierarchy, IAM bindings, VPC design, quotas, logging and billing need consistent management, and BigQuery or GKE costs can rise quickly without guardrails.
Hanoi Technology operates Google Cloud environments for companies that want reliable operations and strong governance without building a large platform team. We manage resource hierarchies and organization policies, run GKE and serverless workloads, monitor with Cloud Monitoring and Logging, triage Security Command Center findings and optimize spend with recommendations, budgets and committed use discounts.
The Challenge
Challenges Teams Face on Google Cloud
Fast-moving teams often outgrow their initial Google Cloud setup.
Flat or Ad Hoc Project Structure
Projects are created without a folder hierarchy or organization policies, making it hard to apply consistent controls, billing ownership and access across environments.
Broad IAM Permissions
Basic roles such as Owner and Editor and long-lived service account keys are used for convenience, creating significant security exposure that is hard to unwind later.
GKE Operational Complexity
Cluster upgrades, node pool management, workload identity, network policies and autoscaling require ongoing Kubernetes expertise that many product teams lack.
Unpredictable BigQuery and Compute Costs
On-demand queries scanning large tables, unpartitioned datasets and idle resources can produce surprising bills without budgets, quotas and query optimization.
Business Value
What Our GCP Managed Services Deliver
Structured Governance
Folders, organization policies and standardized projects apply consistent controls and make ownership clear.
Least-Privilege Security
Predefined and custom roles, workload identity and key-free authentication reduce exposure from overly broad access.
Stable Kubernetes Operations
Managed GKE upgrades, autoscaling and monitoring keep clusters healthy without distracting your developers.
Controlled Data Platform Costs
Partitioning, clustering, reservations and query monitoring keep BigQuery spending predictable.
Faster Incident Resolution
Cloud Monitoring alerting, uptime checks and centralized logging help engineers find and fix issues quickly.
Continuous Improvement
Regular reviews against the Google Cloud Architecture Framework feed a prioritized improvement backlog.
Guardrails That Let Teams Move Fast
Google Cloud is popular with product and data teams that value speed. Good operations should preserve that speed. We use organization policies, standardized project templates and automated pipelines so developers can create resources quickly within safe boundaries, rather than waiting for manual approvals for every change.
Our Services
Hanoi Technology’s End-to-End GCP Managed Services Services
Google Cloud operations services that adapt to your architecture.
Organization and Project Governance
We design or take over the resource hierarchy, organization policies, Shared VPC networking and billing structure, managed through Terraform.
- Folder and project structure
- Organization policies
- Shared VPC and network design
IAM and Security Operations
We review IAM bindings, remove basic roles and service account keys where possible, and triage findings from Security Command Center.
- IAM reviews and cleanup
- Workload identity setup
- Security findings remediation
GKE and Serverless Operations
We operate GKE Standard and Autopilot clusters as well as Cloud Run and Cloud Functions services, including upgrades, scaling and incident response.
- Cluster upgrade management
- Autoscaling configuration
- Runtime and deployment support
Monitoring and Incident Management
We configure Cloud Monitoring dashboards, alerting policies, uptime checks and log-based metrics, and respond to incidents using documented runbooks.
- Alerting policies
- Dashboards and uptime checks
- Incident runbooks
Data Platform Operations
We monitor and support BigQuery, Dataflow, Pub/Sub, Cloud Composer and Cloud SQL, ensuring pipelines complete and data is available on time.
- Pipeline monitoring
- BigQuery administration
- Cloud SQL maintenance and backups
Google Cloud Cost Optimization
We set up billing export to BigQuery, budgets and alerts, act on Recommender insights and plan committed use discounts and BigQuery reservations.
- Billing export and reports
- Rightsizing and cleanup
- Commitment planning
Our Approach
Our Google Cloud Onboarding Process
A phased transition that improves security and reliability early.
- 01
Assess the Organization
We review your resource hierarchy, IAM, networking, workloads, monitoring, backups and billing data, and identify critical risks.
Deliverables: Assessment report · Critical risk list
- 02
Agree Scope and Service Levels
We define in-scope projects and services, support hours, priority levels, response targets and responsibilities.
Deliverables: Service description · Escalation matrix
- 03
Stabilize and Codify
We address critical security and reliability gaps, bring infrastructure under Terraform and document runbooks.
Deliverables: Terraform codebase · Runbooks and diagrams
- 04
Operate
We run monitoring, incident and change management, upgrades, security reviews and cost management according to agreed service levels.
Deliverables: Incident and change records · Monthly service report
- 05
Review and Optimize
We hold quarterly reviews against the Architecture Framework and maintain a shared improvement roadmap.
Deliverables: Quarterly review · Improvement backlog
Use Cases
GCP Managed Services in Practice
Examples of Google Cloud environments we operate.
Mobile Backend on GKE
A consumer app runs its APIs on GKE with Cloud SQL and Memorystore. We manage upgrades, scaling for traffic peaks and on-call incident response.
Serverless Platform on Cloud Run
A startup deploys services on Cloud Run with Pub/Sub and Firestore. We monitor latency and errors, manage revisions and keep costs under control.
BigQuery Analytics Platform
A data team runs Dataflow and Cloud Composer pipelines into BigQuery. We monitor job health, optimize partitioning and manage slot reservations.
IAM and Security Hardening
A fast-growing company removes basic roles and service account keys, introduces workload identity and enforces organization policies across projects.
Machine Learning Workloads on Vertex AI
A product team runs training and prediction on Vertex AI. We manage quotas, endpoints, monitoring and cost alerts for GPU resources.
Cost Visibility for Many Projects
A company with dozens of projects gets billing export, labels and dashboards showing spend per team, product and environment.
Technology
Google Cloud Services and Tools We Manage
Native Google Cloud services and automation tooling we work with daily.
- Resource Manager
- Organization Policy Service
- Cloud IAM
- Shared VPC
- Google Kubernetes Engine
- Cloud Run
- Cloud Functions
- Cloud SQL
- BigQuery
- Dataflow
- Pub/Sub
- Cloud Composer
- Cloud Monitoring
- Cloud Logging
- Security Command Center
- Terraform
Platforms
Deliver GCP Managed Services on Your Preferred Platform
Why Hanoi Technology
Why Organizations Choose Hanoi Technology
Senior, Cross-Functional Teams
Strategy, data, AI, cloud and engineering specialists work as one team, so nothing is lost between hand-offs.
Proven Delivery
More than 50 projects delivered for clients in North America, Europe and Asia-Pacific.
Radical Transparency
A written update every week and a demo of working software every sprint, so you always know where things stand.
Cost-Effective Global Delivery
Experienced engineers from our Hanoi delivery hub, with working-hour overlap for every major time zone.
Success Story · Real estate
Property discovery and lead conversion for a US real estate marketplace
A US marketplace connecting buyers, sellers and agents had plenty of traffic but few enquiries. We built personalized property discovery, AI valuation and a one-tap route to contact an agent.
Read the Full StoryMore Success Stories
Education and EdTech
2×course completion rateAdaptive learning paths for a global online education platform
An online education platform had strong enrollment but only about 35% of learners finished their course. We built adaptive learning paths, a mobile app for short lessons and progress features that keep learners going.
E-commerce and retail
+32%conversion ratePersonalized shopping experience for a US fashion retailer
A fast-growing US fashion and lifestyle retailer had plenty of traffic but a 2.1% conversion rate. We combined a recommendation engine with a simpler path from discovery to checkout.
Resources
Featured Resources
Industry trends and practical guidance to help you get more value from data, AI and technology.
FSMA 204 After the Delay: Using Shipment Monitoring to Get Traceability-Ready by 2028
The FDA Food Traceability Rule deadline moved to July 2028, but the data work is large. Here is how to use shipment monitoring and event data to get ready without wasting the extra time.
CSRD After the Omnibus: What the Revised ESRS Mean for Reporting From 2027
The Omnibus and the simplified ESRS reshaped EU sustainability reporting in 2026. Here is who is in scope, what changed in the standards and how to adapt your data and process.
OpenTelemetry in 2026: Building a Vendor-Neutral Observability Strategy
OpenTelemetry has become the default way to collect telemetry. Here is what changed in 2026 and a practical roadmap for a vendor-neutral observability stack.
Put Your Google Cloud Operations in Expert Hands
Tell us about your Google Cloud projects, workloads and priorities. We will reply within 24 hours to arrange a free consultation and outline an onboarding plan.
GCP Managed Services FAQ
Which Google Cloud services do you support?
We support services commonly used in production, including Compute Engine, GKE Standard and Autopilot, Cloud Run and Cloud Functions, Cloud SQL, Firestore, Memorystore, Cloud Storage, VPC and Cloud Load Balancing, as well as data services such as BigQuery, Dataflow, Pub/Sub and Cloud Composer, and Vertex AI for machine learning workloads. Coverage for less common services is confirmed during the onboarding assessment.
How do you manage GKE upgrades without downtime?
We use GKE release channels and maintenance windows to control when upgrades occur, upgrade control planes and node pools in stages, and rely on surge upgrades, pod disruption budgets and readiness probes to keep workloads available. Before upgrades we check for deprecated Kubernetes APIs in your manifests and Helm charts. Non-production clusters are upgraded first so issues are found before they reach production.
How do you keep BigQuery costs predictable?
We analyze billing export and job history to find expensive queries and tables, then introduce partitioning and clustering, materialized views where appropriate, and query best practices for your analysts. We set custom quotas and budgets with alerts, and evaluate whether reservations or editions-based pricing would be more cost-effective than on-demand pricing for your workload patterns. Results are tracked in monthly cost reports.
How do you access our Google Cloud environment?
We use named Google identities or federated accounts from your identity provider, granted least-privilege predefined or custom roles at the appropriate folder or project level. We avoid service account keys and use short-lived credentials and workload identity where possible. All administrative actions are recorded in Cloud Audit Logs, and you can review or revoke our access at any time.
Can you manage both Google Cloud and other clouds?
Yes. Many clients run Google Cloud for data and analytics alongside AWS or Azure for other workloads. We provide consistent operational processes, monitoring standards, security baselines and cost reporting across platforms, while using each cloud’s native tools where they are strongest. One service description and one monthly report give you a unified view of your multi-cloud environment.
What does onboarding to your GCP managed service involve?
Onboarding starts with an assessment of your organization structure, IAM, networks, workloads, monitoring and billing. We then agree on scope and service levels, address critical risks, set up monitoring and alerting to our standards, codify infrastructure in Terraform where needed and document runbooks. A typical onboarding takes a few weeks, depending on environment size, before steady-state operations begin.