Training Google Cloud

Training goals dlearning

code: G-LMOGC | version: v2.0

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.

 

Course 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

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

Conspect Show list

  • Module 1 Introduction to Google Cloud Operations Suite
    • Objectives
      • 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.
    • Activities
      • 1 quiz
  • Module 2 Monitoring Critical Systems
    • Objectives
      • 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.
    • Activities
      • 1 quiz
      • 1 lab
  • Module 3 Alerting Policies
    • Objectives
      • 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.
    • Activities
      • 1 quiz
      • 1 labs
  • Module 4 Advanced Logging and Analysis
    • Objectives
      • 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.
    • Activities
      • 1 quiz
      • 1 lab
  • Module 5 Working with Audit Logs
    • Objectives
      • 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.
    • Activities
      • 1 quiz
      • 1 lab
  • Module 6 Configuring Google Cloud Services for Observability
    • Objectives
      • 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.
    • Activities
      • 1 quiz
      • 1 lab
  • Module 7 Monitoring Google Cloud Network and Data Access
    • Objectives
      • Collect and analyze VPC Flow Logs and firewall rules logs.
      • Enable and monitor Packet Mirroring.
      • Explain the capabilities of the Network Intelligence Center.
    • Activities
      • 1 quiz
      • 1 lab
  • Module 8 Investigating Application Performance Issues
    • Objectives
      • 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.
    • Activities
      • 1 quiz
      • 1 lab
  • Module 9 Optimizing the Costs for Operations Suite
    • Objectives
      • Analyze resource utilization cost for monitoring related components within Google Cloud.
      • Implement best practices for controlling the cost of monitoring within Google Cloud.
    • Activities
      • 1 quiz
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Additional information

Prerequisites

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

  • Have completed 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.
Difficulty level
Duration 2 days
Certificate

The participants will obtain certificates signed by Google Cloud.

Trainer

Authorized Google Cloud Trainer.

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