- About this article
- Conclusion first
- Practical usage
- How does it compare to Azure or GitHub?
- Security
- Official Information
- What to do next?
- Additions from Cross-functional Audits
- Difference from Logging
- Official Google Information
- Papanda TRY: Running metric to threshold to alert
- What kind of service is it overall?
- Reinforcement in the cross-functional final audit
About this article
This article was generated using an automated generation workflow powered by generative AI.
This is an observability service that handles Google Cloud and application metrics, dashboards, and alerts.
Information verification date: 2026-09-19
Conclusion first
This is an observability service that handles Google Cloud and application metrics, dashboards, and alerts.
| Perspective | Key points |
|---|---|
| Main objective | This is an observability service that handles Google Cloud and application metrics, dashboards, and alerts. |
| Permissions | Principle of least privilege using IAM |
| Automation | Verify integration with CLI, APIs, and CI |
| Operations | Verify logging, monitoring, retention, and pricing |
flowchart LR Dev[開発者] --> S[対象サービス] IAM[IAM] --> S S --> Workload[ワークロード] S --> Audit[監査 / 運用]
Practical usage
Determine where the service fits into the development and operations workflow, and verify the Project, Service Account, IAM, region, retention period, and pricing.
How does it compare to Azure or GitHub?
Even if similar services exist, align the layers being compared, such as authentication, artifacts, logs, and CI/CD. Configurations combining external CI systems like GitHub Actions should also maintain clear privilege boundaries.
Security
Ensure that secrets are not hardcoded in source code or logs, and restrict access to the minimum necessary principals. Do not store real IDs, tokens, or private keys in public GitHub repositories.
Official Information
What to do next?
Verify read-only operations in a test project, understand pricing, IAM, and deletion procedures, and then integrate into small-scale automations.
Additions from Cross-functional Audits
Three Key Points for Beginners
Role: What is Cloud Monitoring? Understand metric monitoring and alerting in terms of which layer (application, data, or operations) they manage.
Users: Clarify who configures the settings and who uses the results among general users, IT departments, and developers.
Pre-production Checks: Verify relevant items among pricing, IAM/permissions, regions, logs, backups, and deletion procedures using official documentation.
Safe Experimentation
Use a verification project and dummy data to start with read and check operations. For modification operations, verify the target project and permissions, and check for the expected results in logs or screens after execution. Do not save secret information such as API keys, tokens, or Service Account keys to public GitHub repositories.
Difference from Logging
Cloud Monitoring monitors system health using metrics, dashboards, and alerts. While Logging focuses on examining individual log records, Monitoring is easier to understand as the axis for tracking time-series states such as CPU utilization, latency, and error rates.
Official Google Information
Papanda TRY: Running metric to threshold to alert
This creates an HTML page that displays a mock CPU metric as a line chart and switches the alert state when the threshold slider is moved. It visualizes the relationship between Monitoring metrics and alert policies without using actual notification destinations.
What kind of service is it overall?
It is an observability service that handles Google Cloud and application metrics, dashboards, alerts, and more.
Reinforcement in the cross-functional final audit
Three roles to consider separately in practice
General users and administrative staffwhat they gain by using the service,IT administratorshow they manage projects, IAM, billing, logs, and data protection, anddevelopershow they make things reproducible using APIs, CLIs, and SDKs.
| Verification axis | Verification points in Google Cloud |
|---|---|
| Project | Management boundaries for billing, APIs, IAM, and resources |
| IAM | Grant the principal the minimum necessary roles. |
| API | Verify activation, quotas, and authentication methods. |
| Operations | Plan for logging, monitoring, and alerting. |
| Secrets | Use Secret Manager and avoid hardcoding secrets in the code. |
| Cost | Check pricing, free tiers, and termination or deletion conditions in advance. |
Experiment safely
Create a minimal configuration in a testing project, andperform creation, operation verification, log review, and deletionas a single workflow. The success criteria are that the target service responds as expected and that logs and status can be verified. Next, change only one item, such as the region, resource quantity, or execution conditions, and check the differences.
Translation for Microsoft Azure Users
Experience with Azure subscriptions/resource groups, Entra ID/RBAC, and Azure Monitor helps with conceptual understanding, but you should review the corresponding Google Cloud projects, IAM roles, service accounts, and Cloud Logging/Monitoring individually. Compare them by management boundaries and responsibility division rather than names.
Security
Do not hardcode service account keys, OAuth tokens, API keys, connection strings, or actual project IDs in public samples. If possible, use short-lived credentials or Google-recommended authentication methods, combined with the principle of least privilege and audit logging.
