Logging, Monitoring and Observability in Google Cloud

3 Days

18 CPD hours

This class is intended for the following customer job roles:
Cloud architects, administrators, and SysOps personnel
Cloud developers and DevOps personnel

This course teaches participants the following skills:
Plan and implement a well-architected logging and monitoring infrastructure
Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs)
Create effective monitoring dashboards and alerts
Monitor, troubleshoot, and improve Google Cloud infrastructure
Analyze and export Google Cloud audit logs
Find production code defects, identify bottlenecks, and improve performance
Optimize monitoring costs

This course teaches you techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, tracing application performance bottlenecks, and profiling CPU and memory usage.

Introduction to Google Cloud Monitoring Tools

• 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

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

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

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

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

Advanced Logging and Analysis

• 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

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

Managing Incidents

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

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

Optimizing the Costs of Monitoring

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