Logging, Monitoring, and Observability in Google

This class is intended for the following participants:

- Cloud architects, administrators, and SysOps personnel

- Cloud developers and DevOps personnel

This course teaches participants the following skills:

• Explain the purpose and capabilities of Google Cloud Observability.
• 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.

The course includes quiz and hands-on lab after each module.

Module 1: Introduction to Google Cloud Observability

• Describe the purpose and capabilities of Google Cloud Observability.
• 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.
• Explain the features and functionalities of the different audit logs.
• List the best practices to implement 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 use of PromQL to query Cloud Monitoring metrics.
• Explain the uses of OpenTelemetry.
• Explain custom metrics.

Module 7: Monitoring the 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 Google Cloud Observability

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

To get the most out of this course, participants should meet the following requirements:

• Complete the Google Cloud 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.

None

No recommendation

• Official course book provided to participants