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.
- Duration: 2 days
- Languages: English, German
- Level: Introductory
- Group size: Up to 16
What you'll learn
- 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.
Prerequisites
- 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.
Course outline
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.
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.
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.
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.
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.
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.
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.
Investigating application performance issues
- Explain the features, benefits, and functionalities of Error Reporting, Cloud Trace, and Cloud Profiler.
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 withinGoogle Cloud.
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