This course provides in-depth training on monitoring and optimizing Google Cloud infrastructure and application performance. Through presentations, demos, hands-on labs, and real-world case studies, participants will gain experience in full-stack monitoring, real-time log management and analysis, debugging code in production environments, tracing application performance bottlenecks, and profiling CPU and memory usage.
This course is offered by Google Cloud and is suitable for individuals seeking to enhance their skills in monitoring and improving the performance of infrastructure and applications on Google Cloud.
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Logging and Monitoring in Google Cloud - 日本語版 is a comprehensive course consisting of 7 modules that cover various aspects of monitoring and optimizing Google Cloud infrastructure and application performance.
This module provides a brief overview of the course and its objectives, offering a preview of the content to be covered.
Learn about the necessity of Google Cloud's observability, Cloud Monitoring, Cloud Logging, error reporting, and application performance management tools. Test your understanding with a comprehension check on Google Cloud monitoring overview.
Explore the monitoring of critical systems, including the architecture patterns of Cloud Monitoring, monitoring multiple projects, data modeling and dashboards, querying metrics, uptime checks, and a lab on monitoring and dashboard creation for multiple projects.
Understand the concepts of SLI, SLO, SLA, devise alert strategies, create alerts, and engage in service monitoring. Participate in labs on Service Monitoring and creating alerts in Google Cloud.
Gain insights into advanced logging and analysis, covering Cloud Logging architecture, log types and collection, log storage, routing, and export, as well as log queries, log-based metrics usage, and log analysis. Engage in a lab on log analysis.
Delve into the operation of audit logs, including Cloud Audit Logs, data access audit logs, audit log entry formats, and best practices. Participate in a lab on audit logs.
Conclude the course with a summary of the key learnings and takeaways from the modules covered.
This module will provide resources and additional materials related to the course for further learning and reference.
Answer complex questions using native derived tables with LookML in this self-paced Google Cloud lab.
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