Logging, Monitoring, and Observability in Google Cloud

GCP-108 (3 Days)
Request Pricing for Logging, Monitoring, and Observability in Google Cloud

Google Cloud Training Overview

This Logging, Monitoring, and Observability in Google Cloud training course gives attendees 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.

Location and Pricing

This course is taught as a private online class for teams of 3 or more. All our private online courses are hands-on, instructor-led, and customizable to fit your group’s goals and needs. To receive a customized proposal and price quote, please contact us.

Google Cloud Training Objectives

All students will learn how to:

  • Plan and implement a well-architected logging and monitoring infrastructure
  • Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs)
  • Create effective monitoring dashboards and alerts
  • Monitor, troubleshoot, and improve Google Cloud infrastructure
  • Analyze and export Google Cloud audit logs
  • Find production code defects, identify bottlenecks, and improve performance
  • Optimize monitoring costs

Google Cloud Training Outline

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Introduction to Google Cloud
  • Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring
  • Google Cloud application performance management focused components: Debugger, Trace, and Profiler
Monitoring
  • Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation
  • Measure customer pain with SLIs
  • Define critical performance measures
  • Create and use SLOs and SLAs
  • Achieve developer and operation harmony with error budgets
Alerts and Notifications
  • Develop alerting strategies
  • Define alerting policies
  • Add notification channels
  • Identify types of alerts and common uses for each
  • Construct and alert on resource groups
  • Manage alerting policies programmatically
Monitoring and Dashboards
  • Choose best practice monitoring project architectures
  • Differentiate Cloud IAM roles for monitoring
  • Use the default dashboards appropriately
  • Build custom dashboards to show resource consumption and application load
  • Define uptime checks to track aliveness and latency
Kubernetes Integration
  • Integrate logging and monitoring agents into Compute Engine VMs and images
  • Enable and utilize Kubernetes Monitoring
  • Extend and clarify Kubernetes monitoring with Prometheus
  • Expose custom metrics through code, and with the help of OpenCensus
Logging
  • Identify and choose among resource tagging approaches
  • Define log sinks (inclusion filters) and exclusion filters
  • Create metrics based on logs
  • Define custom metrics
  • Link application errors to Logging using Error Reporting
  • Export logs to BigQuery
Administration
  • Collect and analyze VPC Flow logs and Firewall Rules logs
  • Enable and monitor Packet Mirroring
  • Explain the capabilities of Network Intelligence Center
  • Use Admin Activity audit logs to track changes to the configuration or metadata of resources
  • Use Data Access audit logs to track accesses or changes to user-provided resource data
  • Use System Event audit logs to track GCP administrative actions
Incident Reports
  • Define incident management roles and communication channels
  • Mitigate incident impact
  • Troubleshoot root causes
  • Resolve incidents
  • Document incidents in a post-mortem process
Performance
  • Debug production code to correct code defects
  • Trace latency through layers of service interaction to eliminate performance bottlenecks
  • Profile and identify resource-intensive functions in an application
Best Practices
  • Analyze resource utilization cust for monitoring related components within Google Cloud
  • Implement best practices for controlling the cost of monitoring within Google Cloud
Conclusion
Request Pricing for Logging, Monitoring, and Observability in Google Cloud
Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

GCP-108

Duration:

3 Days

Prerequisites:

Training Materials:

All GCP training students receive comprehensive courseware.

Software Requirements:

Students must have a modern web browser (ideally Chrome) and Internet access.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

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