Logging, Monitoring and Observability in Google Cloud

Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring

Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler

Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation

Measure customer pain with SLIs

Define critical performance measures

Create and use SLOs and SLAs

Achieve developer and operation harmony with error budgets

Develop alerting strategies

Define alerting policies

Add notification channels

Identify types of alerts and common uses for each

Construct and alert on resource groups

Manage alerting policies programmatically

Choose best practice monitoring project architectures

Differentiate Cloud IAM roles for monitoring

Use the default dashboards appropriately

Build custom dashboards to show resource consumption and application load

Define uptime checks to track aliveness and latency

Integrate logging and monitoring agents into Compute Engine VMs and images

Enable and utilize Kubernetes Monitoring

Extend and clarify Kubernetes monitoring with Prometheus

Expose custom metrics through code, and with the help of OpenCensus

Identify and choose among resource tagging approaches

Define log sinks (inclusion filters) and exclusion filters

Create metrics based on logs

Define custom metrics

Link application errors to Logging using Error Reporting

Export logs to BigQuery

Collect and analyze VPC Flow logs and Firewall Rules logs

Enable and monitor Packet Mirroring

Explain the capabilities of Network Intelligence Center

Use Admin Activity audit logs to track changes to the configuration or metadata of resources

Use Data Access audit logs to track accesses or changes to user-provided resource data

Use System Event audit logs to track GCP administrative actions

Define incident management roles and communication channels

Mitigate incident impact

Troubleshoot root causes

Resolve incidents

Document incidents in a post-mortem process

Debug production code to correct code defects

Trace latency through layers of service interaction to eliminate performance bottlenecks

Profile and identify resource-intensive functions in an application

Analyze resource utilization cust for monitoring related components within Google Cloud

Implement best practices for controlling the cost of monitoring within Google Cloud