Alliance Micro Solutions provides certified and advanced degree computer instructors and consultants

Module 1: Introduction to Google Cloud Monitoring Tools

• Understand the purpose and capabilities of Google Cloud
• 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: Avoiding Customer Pain

• 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: Alerting Policies

• 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: Monitoring Critical Systems

• 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: Configuring Google Cloud Services for Observability

• 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: Advanced Logging and Anaylsis

• 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: Monitoring Network Security and Audit Logs

• 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: Managing Incidents

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

Module 9: Investigating Application Performance Issues

• 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:

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

Module 1: Introduction to Google Cloud Monitoring Tools

• Understand the purpose and capabilities of Google Cloud
• 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: Avoiding Customer Pain

• 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: Alerting Policies

• 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: Monitoring Critical Systems

• 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: Configuring Google Cloud Services for Observability

• 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: Advanced Logging and Anaylsis

• 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: Monitoring Network Security and Audit Logs

• 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: Managing Incidents

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

Module 9: Investigating Application Performance Issues

• 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:

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