About Course

This three day instructor led course teaches participants 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

Prerequisite Courses

• Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience
• Basic scripting or coding familiarity
• Proficiency with command-line tools and Linux operating system environments

Skills Gained

• 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

Who Can Benefit

This class is intended for the following participants:

• Cloud architects, administrators, and SysOps personnel
• Cloud developers and DevOps personnel

Course Details

Course Outline

• 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 1

• 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

• 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