LMOGC - Logging, Monitoring and Observability in Google Cloud

LMOGC - Logging, Monitoring and Observability in Google Cloud

LMOGC - Logging, Monitoring and Observability in Google Cloud


Duration: 3.0 days

Logging, Monitoring and Observability in Google Cloud. This certification & training courses 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.


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


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.


This class is intended for the following participants:

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


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


This course is not associated with any certification.

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