🏆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

Related Trainings

Google Cloud
Best

Architecting with Google Compute Engine

This course will familiarize you with Google Cloud's flexible infrastructure and platform services, with a specific focus on Compute Engine. This course uses a combination of lectures, demos, and hands-on labs to explore and deploy solution elements, including infrastructure components like networks, systems, and application services. You'll also learn how to deploy practical solutions such as hybrid networking, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.

3 d
Intermediate
View all trainings →

Upcoming sessions

June 4, 2026
Distanciel • Français
Register
August 6, 2026
Distanciel • Français
Register
October 8, 2026
Distanciel • Français
Register
December 3, 2026
Distanciel • Français
Register

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

ReserveQuote