Logging, Monitoring, and Observability in Google Cloud

    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.

    Objectives

    In this course, participants will learn 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

    Audience

    This class is intended for the following audience:

    • Cloud architects, administrators, and SysOps personnel

    • Cloud developers and DevOps personnel

    Prerrequisites

    To get the most out of this course, participants should have:

    Duration

    24 hours (3 days)

    Investment

    Check the next open public class in our enrollment page.
    If you are interested in a private training class for your company, contact us.
    Logging, Monitoring and Observability in Google Cloud dependencies with other courses and certifications
    Logging, Monitoring and Observability in Google Cloud dependencies with other courses and certifications

    Course Outline

    The course includes presentations, demonstrations, and hands-on labs.
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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
    • Define incident management roles and communication channels
    • Mitigate incident impact
    • Troubleshoot root causes
    • Resolve incidents
    • Document incidents in a post-mortem process
    • 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
    • Analyze resource utilization cust for monitoring related components within Google Cloud
    • Implement best practices for controlling the cost of monitoring within Google Cloud
    Check our schedule and enroll