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.
Objectives
- 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.
Audience
This class is intended for the following participants:
- Cloud architects, administrators, and SysOps personnel
- Cloud developers and DevOps personnel
Prerequisites
To get the most out of this course, participants should have:
- Completed Google Cloud Fundamentals: Core Infrastructure or have equivalent experience
- Basic scripting or coding familiarity
- Proficiency with command-line tools and Linux operating system environments
Course Outline
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 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 usage of PromQL to query Cloud Monitoring metrics
- Explain the uses of Open Telemetry
- Explain custom metrics
Module 7: Monitoring Google Cloud Network and Data Access
- 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 and benefits of Error Reporting, Cloud Trace, and Cloud Profiler
- Explain the functionalities of the 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