Logging, Monitoring and Observability in Google Cloud

This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud. 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.

Logging, Monitoring and Observability in Google Cloud Benefits

• In this course, you will:

  • Explain the purpose and capabilities of Google Cloud’s operations suite. 
  • Implement monitoring for multiple cloud projects.
  • Create alerting policies, uptime checks and alerts. 
  • Install and manage Ops Agent to collect logs for Compute Engine.
  • Explain Cloud Operations for GKE.
  • Analyze VPC Flow Logs and firewall rules logs.
  • Analyze and export Cloud Audit Logs instances.
  • Profile and identify resource-intensive functions in an application.
  • Analyze resource utilization cost for monitoring related components within Google Cloud.

• Prerequisites

  • Have completed the Google Cloud Platform Fundamentals: Core Infrastructure course or have equivalent experience
  • Have basic scripting or coding familiarity
  • Be proficient with command-line tools and Linux operating system environments

• Certification Information

  None.

Logging, Monitoring and Observability in Google Cloud Course Outline

Learning Objectives

Module 1) Introduction to Google Cloud Operations Suite

• Describe the purpose and capabilities of Google Cloud’s operations suite
• Explain the purpose of the Cloud Monitoring tool.
• Explain the purpose of Cloud Logging and Error Reporting tools.
• Explain the purpose of Application Performance Management tools.

Module 2) Monitoring Critical Systems

• Use Cloud Monitoring to view metrics for multiple cloud projects.
• Explain the different types of dashboards and charts that can be built.
• Create an uptime check.
• Explain the cloud operations architecture.
• Explain and demonstrate the purpose of using Monitoring Query Language (MQL) for monitoring.

Module 3) Alerting Policies

• Explain alerting strategies.
• Explain alerting policies.
• Explain error budget.
• Explain why server-level indicators (SLIs), service-level objectives (SLOs), and service-level agreements (SLAs) are important.
• Identify types of alerts and common uses for each.
• Use Cloud Monitoring to manage services

Module 4) Advanced Logging and Analysis

• Use Log Explorer features.
• Explain the features and benefits of logs-based metrics.
• Define log sinks (inclusion filters) and exclusion filters.
• Explain how BigQuery can be used to analyze logs.
• Export logs to BigQuery for analysis.
• Use log analytics on Google Cloud.

Module 5) Working with Cloud Audit Logs

• Explain Cloud Audit Logs.
• List and explain different audit logs.

Module 6) Configuring Google Cloud Services for Observability

• Use the Ops Agent with Compute Engine.
• Enable and use Kubernetes Monitoring.
• Explain the benefits of using Google Cloud Managed Service for Prometheus.
• Explain the usage of PromQL to query Cloud Monitoring metrics.
• Explain the uses of Open Telemetry.
• Explain custom metrics.

Module 7) Monitoring Google Cloud Network

• Collect and analyze VPC Flow Logs and firewall rules logs.
• Enable and monitor Packet Mirroring.
• Explain the capabilities of the Network Intelligence Center.

Module 8) Investigating Application Performance Issues

• Explain the features, benefits, and functionalities of Error Reporting, Cloud Trace, and Cloud Profiler.

Module 9) Optimizing the Costs for Operations Suite

• Analyze resource utilization cost for monitoring related components within Google Cloud.
• Implement best practices for controlling the cost of monitoring within Google Cloud