Logging, Monitoring, and Observability in Google Cloud Course Overview

Logging, Monitoring, and Observability in Google Cloud Course Overview

The "Logging, Monitoring, and Observability in Google Cloud" course is designed to equip learners with the skills and knowledge necessary to effectively utilize Google Cloud's suite of operations and application performance management tools. Through a comprehensive curriculum spread across eleven modules, participants will delve into Google Cloud Monitoring, Logging, Error Reporting, Debugger, Trace, and Profiler to understand their purpose and capabilities.

Learners will learn how to construct monitoring foundations based on the four golden signals, measure customer pain with Service Level Indicators (SLIs), and manage incidents with best practices. They will also explore how to optimize the costs of monitoring and ensure operational efficiency. The course covers creating alerting strategies, analyzing VPC Flow logs, working with Audit Logs, and investigating application performance issues to maintain high service quality and reliability. By the end of the course, participants will be able to implement robust monitoring and observability strategies, troubleshoot and resolve incidents, and maintain harmony between development and operations teams.

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  • Live Training (Duration : 24 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

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Target Audience for Logging, Monitoring, and Observability in Google Cloud

  1. This course offers in-depth training on Google Cloud's monitoring and observability tools for IT professionals.


  2. Targeted Job Roles/Audience:


  • Cloud Engineers
  • DevOps Engineers
  • Site Reliability Engineers (SREs)
  • System Administrators managing cloud infrastructure
  • IT Operations Staff
  • Cloud Architects
  • Network Engineers
  • Security Analysts who focus on compliance and audit trails
  • Software Developers and Engineers with a focus on application performance
  • Technical Project Managers overseeing cloud-based projects
  • Data Analysts interested in log analysis and monitoring
  • IT Managers looking to understand operational aspects of Google Cloud
  • Technical Support Staff involved in incident management and troubleshooting
  • Performance Engineers
  • Professionals preparing for Google Cloud certifications


Learning Objectives - What you will Learn in this Logging, Monitoring, and Observability in Google Cloud?

Introduction to Learning Outcomes

Gain proficiency in Google Cloud's monitoring tools and best practices for optimizing performance, managing incidents, and reducing monitoring costs in cloud environments.

Learning Objectives and Outcomes

  • Understand and utilize Google Cloud's operations components including Logging, Monitoring, Error Reporting, and Service Monitoring for enhanced observability.
  • Apply Google Cloud's application performance management tools like Debugger, Trace, and Profiler to improve app performance.
  • Implement the four golden signals (latency, traffic, errors, saturation) to construct a solid monitoring foundation and measure customer experience using SLIs.
  • Define and use Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) to manage performance expectations effectively.
  • Create custom dashboards for comprehensive resource and application load monitoring and set up uptime checks to ensure service availability.
  • Develop and manage alerting policies, including notification channels and alert types, to maintain system reliability.
  • Perform advanced logging and analysis by defining log sinks, creating log-based metrics, and integrating Error Reporting for application error visibility.
  • Audit cloud operations securely by working with various Audit Logs and implementing best practices for logging and data access.
  • Integrate observability into cloud services, including VMs, Kubernetes, and VPCs, and extend monitoring capabilities using tools like Prometheus and OpenCensus.
  • Manage and resolve incidents with defined roles and processes, troubleshoot performance issues, and optimize monitoring costs through best practices and resource utilization analysis.

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