COURSE OBJECTIVE:
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
TARGET AUDIENCE:
This class is intended for the following participants:
Cloud architects, administrators, and SysOps personnel
Cloud developers and DevOps personnel
COURSE PREREQUISITES:
To get the most out of this course, participants should have:
• Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience
• Basic scripting or coding familiarity
• Proficiency with command-line tools and Linux operating system environments
COURSE CONTENT:
The course includes presentations 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 cust for monitoring related components within Google Cloud
• Implement best practices for controlling the cost of monitoring within Google Cloud
FOLLOW ON COURSES:
Not available. Please contact.