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.

✓ Formation officielle Google CloudNiveau Fundamentals⏱️ 2 jours (14h)

Ce que vous allez apprendre

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.

Prérequis

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.

Public cible

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

Programme de la Formation

9 modules pour maîtriser les fondamentaux

Objectifs

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.

Sujets abordés

→Google Cloud Observability purpose and capabilities
→Cloud Monitoring tool
→Cloud Logging and Error Reporting tools
→Application Performance Management tools

Activités

One quiz

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.