Compute Engine: application compute
Choose a current instance family based on measured CPU, memory, storage and network demand. Use images, private networking, least-privilege firewalls and automated patching.
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CLOUD PRODUCT GUIDE
Google Cloud: Products, Regions and Deployment Guide
Google Cloud can support global applications, data analytics, Kubernetes and AI infrastructure. Start with user location and workload evidence, then verify product availability and pricing in the target region.
Product education Regional planning Official references
PRACTICAL OVERVIEW
Understand the decision before choosing a product
Clear product boundaries, measurable requirements and tested recovery procedures produce better infrastructure decisions than promotional specifications alone.
Cloud Storage and Cloud SQL
Use Cloud Storage for objects, media, logs and backups; use Cloud SQL for structured transactional data. Storage class, requests, backups, replicas and transfer can all affect cost.
Cloud Load Balancing: resilient entry
Place Cloud Load Balancing in front of multiple healthy backends when availability and scaling require it. Health checks, session state and database capacity must be designed together.
USE CASES
Match infrastructure to the workload
Region, latency, availability, data protection and cost must be evaluated as one system.
- Separate system and application data
- Prefer keys or managed identity over shared passwords
- Monitor saturation before resizing
- Keep application and database traffic private
- Define retention and lifecycle policies
- Test restoration instead of assuming backups work
PRODUCT KNOWLEDGE
Products, regions and deployment choices
Each layer has a specific role. Choose the smallest maintainable combination that satisfies the business requirement.
GUIDE01
Compute Engine: application compute
Choose a current instance family based on measured CPU, memory, storage and network demand. Use images, private networking, least-privilege firewalls and automated patching.
Separate system and application data · Prefer keys or managed identity over shared passwords · Monitor saturation before resizing
GUIDE02
Cloud Storage and Cloud SQL
Use Cloud Storage for objects, media, logs and backups; use Cloud SQL for structured transactional data. Storage class, requests, backups, replicas and transfer can all affect cost.
Keep application and database traffic private · Define retention and lifecycle policies · Test restoration instead of assuming backups work
GUIDE03
Cloud Load Balancing: resilient entry
Place Cloud Load Balancing in front of multiple healthy backends when availability and scaling require it. Health checks, session state and database capacity must be designed together.
Use multiple failure domains · Protect origins and management ports · Measure end-to-end latency
GUIDE04
Regions, cost and day-two operations
A production budget includes compute, disks, egress, load balancing, databases, monitoring, logs, backups and support. Review IAM, patches, capacity and restoration regularly.
BEFORE YOU BUY
Plan the whole system, not one server
Use consistent workload assumptions and verify current product availability in the target account and region.
Total cost
Include compute, disks, transfer, databases, backup, monitoring, support and operating effort.
Network and region
Test the complete user journey across target carriers and business hours, including third-party dependencies.
Security boundary
Apply least privilege, private networking, encryption, patching, audit logs and tested restoration.
REFERENCES & NEXT STEPS
Continue with product and regional resources
External provider links open the current official documentation. Product availability, limits and pricing should always be verified in the target account and region.
WORKLOAD & COST
Validate capacity and billing together
Capacity planning and cost planning use the same traffic, storage, growth and recovery assumptions.
RequirementRecommended actionWhy it matters
ComputeMeasure before resizing
CPU, memory, disk and network bottlenecks require different changes.
DataSeparate and protect
Use private connectivity, retention policies and tested backups.
TrafficModel peaks and transfer
Bandwidth, requests, egress and cross-region traffic can materially affect cost.
BILLING EXPLAINED
A production bill is more than compute
Cost item 01
Compute
Instances, licenses and scaling capacity
Cost item 02
Storage
Disks, objects, snapshots and backup retention
Cost item 03
Network
Internet egress, NAT, load balancing and cross-region transfer
Cost item 04
Operations
Monitoring, logs, security and technical support
FIRST DEPLOYMENT
A safer deployment sequence
- 01Document users, workload, dependencies and recovery targets
- 02Select candidate providers and regions
- 03Build a realistic cost model
- 04Deploy a test environment and measure it
- 05Plan DNS, migration, rollback and observation
DAY-2 OPERATIONS
Operate after launch
Successful provisioning is only the beginning of production reliability.
- Monitor capacity, errors and user latency
- Review IAM, patches and exposed services
- Test backup restoration and failover
- Review costs, quotas and growth monthly
Content notice
This page provides product education and preliminary planning. Verify current availability, quotas, pricing, contractual terms and compliance requirements before launch.
FAQ
Frequently asked questions
How should I choose a Google Cloud region?
Start with primary users and required products, then check latency, data requirements, quotas, recovery options and total cost.
Is the virtual machine price the full monthly cost?
No. Include storage, snapshots, internet and inter-region transfer, load balancing, databases, logging, backups and support.
Build a testable cloud shortlist
Share user regions, workload, availability goals and budget for an initial architecture discussion.