Logging, Monitoring, and Observability in Google Cloud training

Course Outline

MODULE 1

• 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

MODULE 2

• 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

MODULE 3

• 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

MODULE 4

• 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

MODULE 5

• 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

MODULE 6

• 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

MODULE 7

• 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

MODULE 8

• Define incident management roles and communication channels
• Mitigate incident impact
• Troubleshoot root causes
• Resolve incidents
• Document incidents in a post-mortem process

MODULE 9

• 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

MODULE 10

• Analyze resource utilization cust for monitoring related components within Google Cloud
• Implement best practices for controlling the cost of monitoring within Google Cloud