🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
GCP200LMO

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.

Google Cloud
✓ Official training Google CloudLevel Fundamentals⏱️ 2 days (14h)

What you will 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.

Target audience

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

Training Program

9 modules to master the fundamentals

Objectives
  • 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.
Topics covered
  • →Google Cloud Observability purpose and capabilities
  • →Cloud Monitoring tool
  • →Cloud Logging and Error Reporting tools
  • →Application Performance Management tools
Activities

One quiz

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.
Topics covered
  • →Using Cloud Monitoring for multiple cloud projects
  • →Dashboards and charts
  • →Uptime checks
  • →Cloud operations architecture
  • →Monitoring Query Language (MQL)
Activities

One quiz

One lab

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.
Topics covered
  • →Alerting strategies
  • →Alerting policies
  • →Error budget
  • →Server-level indicators (SLIs), service-level objectives (SLOs), and service-level agreements (SLAs)
  • →Types of alerts and their uses
  • →Managing services with Cloud Monitoring
Activities

One quiz

One lab

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.
Topics covered
  • →Log Explorer features
  • →Logs-based metrics
  • →Log sinks (inclusion and exclusion filters)
  • →Log analysis using BigQuery
  • →Log analytics on Google Cloud
Activities

One quiz

One lab

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.
Topics covered
  • →Cloud Audit Logs overview
  • →Types of audit logs
  • →Features and functionalities of audit logs
  • →Best practices for implementing audit logs
Activities

One quiz

One lab

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 use of PromQL to query Cloud Monitoring metrics.
  • Explain the uses of OpenTelemetry.
  • Explain custom metrics.
Topics covered
  • →Using the Ops Agent with Compute Engine
  • →Kubernetes Monitoring
  • →Google Cloud Managed Service for Prometheus
  • →Using PromQL to query Cloud Monitoring metrics
  • →Uses of OpenTelemetry
  • →Custom metrics
Activities

One quiz

One lab

Objectives
  • Collect and analyze VPC Flow Logs and firewall rules logs.
  • Enable and monitor Packet Mirroring.
  • Explain the capabilities of the Network Intelligence Center.
Topics covered
  • →Collecting and analyzing VPC Flow Logs and firewall rules logs
  • →Packet Mirroring
  • →Network Intelligence Center capabilities
Activities

One quiz

One lab

Objectives
  • Explain the features, benefits, and functionalities of Error Reporting, Cloud Trace, and Cloud Profiler.
Topics covered
  • →Features of Error Reporting
  • →Features of Cloud Trace
  • →Features of Cloud Profiler
Activities

One quiz

One lab

Objectives
  • Analyze resource utilization cost for monitoring-related components within Google Cloud.
  • Implement best practices for controlling the cost of monitoring within Google Cloud.
Topics covered
  • →Analyzing resource utilization cost for monitoring components
  • →Best practices for controlling monitoring costs
Activities

One quiz

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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

1,580€ excl. VAT

per learner

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