Duration

3 Days

Description

Learn how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the principles of Site Reliablity Engineering (SRE), this course features a combination of lectures, demos, hands-on labs, and real-world case studies. In this course, you’ll gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, and profiling CPU and memory usage.

Topics covered

• Infrastructure
• Application Development
• Security

Objectives:

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

Course Outline

The course includes presentations, demonstrations, and hands-on labs.

Module 1: 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.

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 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.

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.