Alpina Tech deploys and manages Compute Engine infrastructure for teams that need full control over their virtual machines on Google Cloud. We handle VM provisioning, networking, security hardening, autoscaling, and automation β giving you IaaS flexibility backed by Googleβs global fiber network and datacenter infrastructure.
VM Provisioning & Configuration
We deploy Compute Engine instances sized and configured for your workload:
- Predefined machine types β general-purpose (E2, N2), compute-optimized (C2, C3), memory-optimized (M2, M3), and accelerator-optimized (A2, G2) for GPU workloads
- Custom machine types β specify exact vCPU and memory combinations to avoid over-provisioning
- Boot disk configuration with public or custom images β Ubuntu, Debian, RHEL, Windows Server, Container-Optimized OS
- Persistent disk selection β Standard HDD, Balanced SSD, SSD, and Extreme for high-IOPS requirements
- Sole-tenant nodes for workloads with licensing, compliance, or physical isolation requirements
Managed Instance Groups & Autoscaling
For workloads that need elastic compute capacity, we configure managed instance groups:
- Instance templates with machine type, disk, network, and startup script configuration
- Autoscaling policies based on CPU utilization, load balancer capacity, custom Cloud Monitoring metrics, or schedules
- Rolling update policies with canary deployments and automatic rollback on failure
- Regional managed instance groups for high availability across multiple zones
- Health check configuration with auto-healing β unhealthy instances are automatically replaced
Networking & Security
We architect the network layer around your Compute Engine instances:
- VPC network design with subnets, firewall rules, and Cloud NAT for outbound traffic
- Cloud Load Balancing β HTTP(S), TCP/SSL, and internal load balancers with global or regional scope
- Cloud Armor for DDoS protection and WAF policies on load-balanced workloads
- IAP (Identity-Aware Proxy) for secure SSH and RDP access without public IPs
- Cloud VPN or Cloud Interconnect for hybrid connectivity to on-premise networks
Migration to Compute Engine
We migrate workloads from other cloud providers and on-premise infrastructure:
- Migrate to Virtual Machines β automated VM migration from VMware, AWS, and Azure with continuous replication
- Manual migration via disk image export/import and machine image creation
- Database migration with Cloud Database Migration Service for MySQL, PostgreSQL, and SQL Server
- Network topology recreation with VPCs, subnets, firewall rules, and DNS configuration
- Post-migration validation β performance benchmarks, connectivity tests, and application verification
Backup, Monitoring & Operations
Production VMs need reliability layers beyond the hypervisor:
- Scheduled snapshot policies for persistent disks with configurable retention
- Machine images for full VM backup including boot disk, data disks, and metadata
- Cloud Monitoring with VM agent β CPU, memory, disk, and network dashboards with alerting
- Cloud Logging for centralized log collection from all instances
- OS Patch Management for automated security patching across the VM fleet
We extend these setups with custom monitoring dashboards and incident response playbooks.
How We Approach Compute Engine Projects
Assessment & Sizing We evaluate your workloads β CPU, memory, storage IOPS, network throughput β and map them to the right machine types. Custom machine types let you specify exact resources, eliminating the waste of predefined instance sizes.
Infrastructure as Code Every VM, disk, network, and firewall rule is defined in Terraform using the Google provider. Your infrastructure is versioned, reviewed in pull requests, and reproducible across environments.
Staged Deployment Instances deploy to isolated environments first. We validate connectivity, performance, and security configurations before production cutover. Managed instance groups roll out changes gradually with health checks.
Optimization & Handoff We configure committed use discounts for predictable workloads, right-size instances with Recommender, and set up Spot VMs for fault-tolerant batch processing. Your team receives Terraform modules, runbooks, and access to manage the environment independently.
Technology Stack with Compute Engine
Compute & Scaling
- Compute Engine VMs β general-purpose, compute-optimized, memory-optimized, and GPU instances
- Managed Instance Groups β autoscaling VM groups with health checks and rolling updates
- Spot VMs β preemptible instances at up to 91% discount for fault-tolerant workloads
- Sole-Tenant Nodes β dedicated physical servers for licensing and compliance requirements
Networking & Security
- VPC Networks β private networking with subnets, peering, and Shared VPC
- Cloud Load Balancing β global and regional load balancers with SSL termination
- Cloud Armor β DDoS protection and web application firewall
- Identity-Aware Proxy β zero-trust access to VMs without VPN or public IPs
Management & Automation
- Terraform (google provider) β infrastructure-as-code for all GCP resources
- Cloud Monitoring + Ops Agent β performance metrics, logs, and alerting
- OS Config β automated patch management and configuration policies
- Cloud Build β CI/CD pipelines for image builds and infrastructure deployments
Business Benefits
- Custom machine types β specify exact vCPU and memory instead of choosing from fixed sizes. Pay only for the resources your workload needs β no rounding up to the next predefined instance.
- Global live migration β Google live-migrates your VMs during host maintenance events. No reboots, no downtime, no maintenance windows to schedule β your instances keep running transparently.
- Per-second billing β Compute Engine bills by the second with a one-minute minimum. Short-lived batch jobs and auto-scaled instances cost exactly what they consume, not rounded to the hour.
- Spot VMs at up to 91% discount β fault-tolerant workloads like batch processing, CI/CD runners, and data pipelines run on Spot VMs at a fraction of on-demand pricing.
- Googleβs network backbone β Compute Engine instances connect via Googleβs private global fiber network. Cross-region traffic stays on Googleβs infrastructure, delivering lower latency and higher throughput than public internet routing.
- Committed use discounts without upfront payment β commit to 1-year or 3-year usage for up to 57% savings. Unlike AWS Reserved Instances, Compute Engine committed use discounts require no upfront capital expenditure.
Page Updated: 2026-03-11






