Diagnose System Issues using Cloud Logging and Monitoring
Cloud Logging and Cloud Monitoring give administrators the visibility they need to keep a production system running reliably. They work together to collect logs, track performance metrics, and alert the team when something goes wrong. By analyzing this data, you can detect problems before users notice them and find the root cause of failures more quickly.
Troubleshooting follows a structured method. Start with automated validation tools, such as istioctl analyze or the nomos command-line tool, which scan current configurations for common mistakes. These tools read live cluster data or package installation status to catch errors early. After narrowing the scope, review relevant logs and performance metrics to pinpoint the cause. This step-by-step approach minimizes downtime and speeds up repairs.
The Logs Explorer is the main interface for querying audit logs. Three types of audit logs matter most: Admin Activity logs record who made configuration changes; Data Access logs track reads and writes to user data; and System Event logs capture system-level operations. By applying filters in the Logs Explorer, you can isolate specific events and find security threats or performance bottlenecks. Gemini Cloud Assist Investigations extends this workflow by automatically analyzing logs and metrics, producing hypotheses about the root cause, and suggesting next steps. Using these tools strengthens your ability to support deployed solutions.
Manage Incident Lifecycles and Service Health
Personalized Service Health helps you determine whether a performance problem comes from your own application or from a Google Cloud disruption. After enabling the Service Health API and setting the correct permissions, you can view a dashboard that shows active events, affected products, and impacted regions. This tool is essential for scoping incidents quickly.
The incident lifecycle begins with Detection. Use both introspective monitoring (tracking internal metrics like CPU and memory) and synthetic monitoring (simulating user actions) to catch errors. Detection sources include automated log analysis, machine-learning anomaly detection, and security testing. Once you detect an issue, scope it to understand which users and regions are affected. During the incident, the primary goals are Mitigation — temporary steps such as adding resources to reduce impact — and Resolution — a permanent fix. When a fix is not immediately available, the support team provides Workarounds that bypass the problem. The Service Health Dashboard gives regular updates on progress.
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