Google Cloud Managed Services — Your Data & AI Operations Team
Google Cloud's data and AI capabilities are unmatched — but operating GCP effectively requires expertise in Google's unique networking model, IAM approach, and pricing structure that most teams lack. Opsio's Google Cloud managed services deliver 24/7 operations for your BigQuery, GKE, and Vertex AI workloads with Security Command Center monitoring and 25-35% FinOps savings.
Trusted by 100+ organisations across 6 countries
24/7
GCP Support
GKE
Specialist
BigQuery
Expert
99.9%
Uptime SLA
What's Included
24/7 GCP Monitoring & Operations
Cloud Monitoring with custom dashboards, Cloud Logging analysis, uptime checks, and automated alerting. We monitor GKE cluster health, Cloud SQL instance performance, BigQuery slot utilization, Vertex AI endpoint latency, and application-level metrics around the clock with 5-minute response SLAs.
GKE Cluster Management
Google Kubernetes Engine cluster operations including node pool optimization, Autopilot configuration, RBAC policy management, network policies, ingress controllers, workload identity for pod-level IAM, and container image scanning. We keep your containerized applications running efficiently with cost-optimized node allocation.
BigQuery & Data Platform Operations
BigQuery administration including slot management, on-demand vs flat-rate pricing optimization, query performance tuning, partitioning and clustering strategy, dataset security, scheduled query management, and integration with Looker and Looker Studio. We optimize your data platform for both performance and cost.
GCP FinOps & Cost Optimization
Committed Use Discounts for predictable workloads, sustained use savings tracking, spot VM strategies for fault-tolerant jobs, BigQuery slot right-sizing, idle resource detection, and project-level budget alerts. We apply GCP-specific FinOps practices that typically reduce spend by 25-35% within the first quarter.
GCP Security Management
Security Command Center Premium for vulnerability detection, VPC Service Controls for data exfiltration prevention, IAM policy management with recommender insights, Cloud Armor WAF rules for application protection, and Chronicle SIEM integration for threat detection. We implement BeyondCorp zero-trust principles.
AI/ML Infrastructure Operations
Vertex AI pipeline monitoring, GPU instance optimization with preemptible VMs, model serving endpoint management with autoscaling, feature store operations, and MLOps pipeline maintenance. We support your data science team with production-grade ML infrastructure at optimized cost.
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Tell us briefly what you need. A specialist replies within one business day — free and without obligation.
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- Certified cloud engineers
Our AWS migration has been a journey that started many years ago, resulting in the consolidation of all our products and services in the cloud. Opsio, our AWS Migration Partner, has been instrumental in helping us assess, mobilize, and migrate to the platform, and we're incredibly grateful for their support at every step.
Roxana Diaconescu
CTO · SilverRail Technologies
Two enterprise security platforms. Included free.
Others pay a fortune for continuous vulnerability monitoring and a unified security-and-cost workspace — and then pay again for the people to run them. Every Opsio managed-cloud customer gets both, at no extra cost, with our engineers acting on what they surface.
SeqOps
Continuous vulnerability monitoring across your entire cloud & server estate — always on, never in the way.
- Every vulnerability, misconfiguration & exposure found continuously across AWS, Azure, GCP, Windows & Linux
- AI ranks findings by real risk, so effort goes where it matters
- Continuous compliance scoring: NIS2 · ISO 27001 · GDPR · PCI · HIPAA
- Read-only — collects security metadata, never your data
Opsio Shield
One intelligent workspace that unifies security posture, compliance scoring and cloud cost — so nothing hides between tools.
- Security posture, compliance score & multi-cloud spend on one live dashboard
- Cost anomalies & budget overruns caught before the invoice lands
- Auto-generated compliance evidence & vulnerability reports
- Encrypted secrets, mandatory MFA & row-level isolation by design
It's simply part of being an Opsio managed-cloud customer.
Your Dedicated GCP Managed Service Provider
Google Cloud managed services exist because GCP leads in data analytics with BigQuery, machine learning with Vertex AI, and container orchestration with GKE — but operating GCP effectively requires deep expertise in Google's unique networking model, IAM approach, and service architecture that most internal teams lack. Without a dedicated GCP managed service provider, organizations struggle with project-based resource hierarchy, VPC peering complexity, and pricing models that differ fundamentally from AWS and Azure. Opsio's gcp managed services cover the complete platform stack: compute (Compute Engine, GKE, Cloud Run, Cloud Functions), data (BigQuery, Cloud SQL, AlloyDB, Spanner, Memorystore), AI/ML (Vertex AI, AutoML, TensorFlow serving), networking (VPC, Cloud Load Balancing, Cloud CDN, Cloud Armor), and security (Security Command Center, Chronicle SIEM, BeyondCorp). Our certified team operates all of these 24/7 with GCP-native tooling.
For organizations running data-intensive workloads, AI/ML training pipelines, or containerized microservices, GCP offers compelling price-performance advantages. BigQuery's serverless architecture eliminates cluster management for analytics, GKE Autopilot reduces Kubernetes operational overhead, and Vertex AI simplifies ML model deployment. As your gcp managed service provider, we help you leverage these strengths while handling operational complexity.
GCP's project-based hierarchy and organization policies require careful governance. We configure Organization policies for security constraints, manage folder structures for environment separation, implement VPC Service Controls for data exfiltration prevention, and administer IAM roles with the principle of least privilege across all projects. Every access change follows documented change management.
Common challenges we solve as a gcp managed service provider: BigQuery cost overruns from unoptimized queries and slot allocation, GKE cluster sprawl with underutilized node pools, Security Command Center findings that go unaddressed, Vertex AI GPU instances running when not needed, and VPC networking issues causing cross-project connectivity failures. These GCP-specific problems require specialized expertise.
Comparing google cloud managed services cost with internal staffing? GCP specialists command premium salaries ($160,000-$200,000+) and are difficult to recruit. Opsio's gcp managed services provide a team of certified GCP engineers at a fraction of that cost, with 24/7 coverage and deep expertise across BigQuery optimization, GKE operations, and Vertex AI infrastructure that no single hire can match. Featured reading from our knowledge base: Managed Service Provider Europe: Simplify IT Operations – Opsio, Managed Cloud Service Provider: Optimize Your Cloud Investment – Opsio, and Expert Cloud Managed Provider Services for Your Business Growth. Related Opsio services: AWS Managed Service Provider — Your 24/7 AWS Operations Team, Cloud Managed Services — Your Cloud, Our 24/7 Operations, IT Managed Service Provider — End-to-End IT Operations, and Managed Service Provider Sweden — Sovereign Cloud Operations.
How Opsio Compares
| Capability | In-House IT | Generic MSP | Opsio |
|---|---|---|---|
| GCP specialization | Generalist cloud skills | Basic GCP knowledge | Certified GCP architects + data specialists |
| BigQuery optimization | Ad-hoc query reviews | Not offered | Slot management + query tuning — 30-50% savings |
| GKE operations | Learning curve | Basic monitoring | Full lifecycle — Autopilot, scaling, security |
| AI/ML infrastructure | Data scientists self-manage | Not offered | Vertex AI + GPU optimization included |
| Cost optimization | Annual reviews | Generic recommendations | GCP-specific FinOps — 25-35% savings |
| Security operations | Periodic scans | Basic alerting | 24/7 SCC + Chronicle + BeyondCorp |
| Typical annual cost | $200K+ (2 FTEs) | $50-100K/yr | $36-144K/yr (fully managed) |
Ready to get started?
What You Get
Pricing & Investment Tiers
Transparent pricing. No hidden fees. Scope-based quotes.
Standard Management
$3,000–$7,000/mo
Up to 40 resources
Enterprise Management
$7,000–$12,000/mo
GKE + BigQuery management
AI/ML Infrastructure
$2,000–$5,000/mo
Vertex AI + GPU optimization
Transparent pricing. No hidden fees. Scope-based quotes.
Questions about pricing? Let's discuss your specific requirements.
Why Choose Opsio for Cloud Services
GCP-native expertise
Deep knowledge of Google Cloud's unique networking, IAM, and service architecture.
Data platform specialists
BigQuery, Dataflow, Pub/Sub, and Spanner optimization for data-intensive workloads.
Kubernetes expertise
GKE operations at scale with Autopilot, multi-cluster, and workload identity.
AI/ML infrastructure
Vertex AI, GPU management, and production ML pipeline operations for data teams.
Cost optimization
GCP-specific FinOps with CUDs, sustained use, slot management, and spot strategies.
Multi-cloud capable
We also manage AWS and Azure if you operate a multi-cloud strategy.
Not sure yet? Start with a pilot.
Begin with a focused 2-week assessment. See real results before committing to a full engagement. If you proceed, the pilot cost is credited toward your project.
Our 4-Phase Delivery Process
Assessment
Review your GCP environment covering project hierarchy, security posture, cost efficiency, and operational gaps. Deliverable: prioritized findings report. Timeline: 1-2 weeks.
Onboarding
Deploy Cloud Monitoring, configure alerting policies, establish service account access with least privilege, and document operational runbooks. Timeline: 2-3 weeks.
Optimization
Security hardening with SCC, cost optimization with CUDs and right-sizing, GKE node pool tuning, and BigQuery performance improvements. Timeline: 2-4 weeks.
24/7 Operations
Continuous monitoring, incident response, patching, cost management, and quarterly architecture reviews against GCP best practices. Timeline: Ongoing.
Key Takeaways
- 24/7 GCP Monitoring & Operations
- GKE Cluster Management
- BigQuery & Data Platform Operations
- GCP FinOps & Cost Optimization
- GCP Security Management
Industries Served by Opsio
Data & Analytics
BigQuery-centric data platforms, Dataflow pipelines, and analytics workloads.
AI/ML Companies
Vertex AI and GPU-intensive machine learning training and serving operations.
SaaS & Technology
Cloud-native applications running on GKE and Cloud Run at scale.
Media & Entertainment
High-throughput content processing and low-latency delivery architectures.
Google Cloud Managed Services — Your Data & AI Operations Team — FAQ
What GCP services do you manage?
Our gcp managed services cover the complete Google Cloud stack: Compute Engine, GKE, Cloud Run, Cloud Functions for compute; Cloud SQL, AlloyDB, BigQuery, Spanner, Memorystore for data; Vertex AI for ML; VPC, Cloud Load Balancing, Cloud CDN, Cloud Armor for networking; Security Command Center and Chronicle for security. We support all GCP regions and multi-project Organization setups. As Google Cloud evolves and introduces new services, we evaluate their applicability to your workloads and integrate them into your managed environment as part of our continuous improvement cycle.
How much do GCP managed services cost?
Standard management for up to 40 resources runs $3,000-$7,000/month. Enterprise management including GKE and BigQuery operations costs $7,000-$12,000/month. AI/ML infrastructure add-on for Vertex AI and GPU management is $2,000-$5,000/month. Our FinOps practices typically reduce GCP spend by 25-35% through CUD optimization, right-sizing, and BigQuery slot management. All pricing is transparent with detailed monthly invoices, and our cost optimization efforts frequently offset the management fee within the first quarter of engagement.
Can you optimize BigQuery costs?
Yes. BigQuery cost optimization is a core competency. We analyze your query patterns to recommend flat-rate vs on-demand pricing, optimize queries for reduced slot consumption, implement partitioning and clustering strategies, configure storage lifecycle policies for cost tiering, and set up project-level budget alerts. Many clients reduce BigQuery costs by 30-50% within the first quarter of our engagement. We also train your data teams on cost-efficient query practices and establish governance policies that prevent runaway query costs from poorly optimized ad-hoc workloads.
Do you support multi-cloud with GCP?
Yes. We operate GCP alongside AWS and Azure environments using Anthos for multi-cloud Kubernetes or separate management planes per provider. We provide unified monitoring dashboards, consistent security policies, and coordinated incident response across all your cloud environments. Our gcp managed services integrate seamlessly with multi-cloud strategies. This means your team gets a single point of contact for operations regardless of cloud provider, with consistent SLAs, reporting formats, and escalation procedures across every platform in your infrastructure.
How do you handle GCP security and compliance?
We configure Security Command Center Premium for continuous vulnerability detection, implement VPC Service Controls to prevent data exfiltration, manage IAM policies with least-privilege and recommender insights, deploy Cloud Armor WAF rules for application protection, and integrate Chronicle SIEM for advanced threat detection — all aligned with ISO 27001, SOC 2, and NIS2 compliance requirements. Regular security posture reviews identify emerging vulnerabilities, and we produce quarterly compliance reports with evidence of control effectiveness for your auditors.
Can you manage GKE clusters at scale?
Yes. Opsio manages GKE clusters from single-cluster development environments to multi-cluster production deployments with hundreds of nodes. Our expertise covers Autopilot mode for simplified operations, standard mode for full control, multi-cluster ingress for global load balancing, workload identity for pod-level security, and cost optimization through node pool right-sizing and spot instances. We also handle GKE version upgrades, security patching, and RBAC policy management to ensure your clusters remain secure, performant, and running the latest stable Kubernetes releases.
What is your GCP incident response process?
P1 critical: response within 5 minutes, resolution target 30 minutes. P2 high: response within 15 minutes, resolution target 2 hours. P3 medium: response within 1 hour during business hours. Every significant incident produces a root cause analysis with preventive recommendations. We coordinate directly with Google Cloud support when platform-level issues require vendor escalation. SLA performance is tracked in real-time dashboards and reported monthly, with financial penalties for non-compliance ensuring our commitment to rapid resolution remains consistently strong.
Do you optimize Vertex AI costs?
Yes. We optimize Vertex AI spending through GPU instance right-sizing (selecting appropriate machine types for training vs serving), preemptible VM usage for training jobs, endpoint autoscaling configuration to match actual inference demand, scheduled scaling for predictable traffic patterns, and model optimization techniques that reduce serving resource requirements without accuracy loss. We also monitor GPU utilization continuously and recommend instance type changes when usage patterns shift, ensuring your AI/ML infrastructure costs stay aligned with actual workload demands.
How do you manage GCP Organization policies?
We configure Organization Policy constraints for security enforcement across all projects — restricting resource locations for data residency, disabling external IP addresses where not needed, enforcing uniform bucket-level access for Cloud Storage, and requiring OS Login for Compute Engine instances. Folder-level exceptions accommodate specific team requirements while maintaining baseline security. We review and update Organization policies quarterly as Google introduces new constraint types, ensuring your governance framework evolves alongside the platform and addresses emerging security best practices.
Can you help migrate workloads to GCP?
Yes. In addition to our gcp managed services, we provide migration services using Migrate for Compute Engine, Database Migration Service, and BigQuery transfer tools. We can migrate workloads from AWS, Azure, or on-premises to GCP and then manage them under our ongoing operations engagement — providing a seamless transition from migration to steady-state management. The same team that performs the migration continues managing your environment, ensuring deep knowledge continuity and eliminating the handoff risks that occur when separate teams handle migration and operations.
Still have questions? Our team is ready to help.
Ready to Hire a Google Cloud MSP?
Your Google Cloud deserves a specialist team with BigQuery, GKE, and Vertex AI depth. Get a free GCP assessment — clients typically save 25-35% in the first quarter.
Google Cloud Managed Services — Your Data & AI Operations Team
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