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Logging, Monitoring, and Observability in Google Cloud

Learn how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the principles of Site Reliability Engineering (SRE), this course features a combination of...

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$1,950 USD GSA  $1,627.20
Course Code GCP-LMNOP
Duration 3 days
Available Formats Classroom
6694 Reviews star_rate star_rate star_rate star_rate star_half
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Learn how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the principles of Site Reliability Engineering (SRE), this course features a combination of lectures, demos, hands-on labs, and real-world case studies. In this course, you'll gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, and profiling CPU and memory usage.

Skills Gained

  • 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

Who Can Benefit

This class is intended for the following participants:

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

Prerequisites

  • Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience
  • Basic scripting or coding familiarity
  • Proficiency with command-line tools and Linux operating system environments

Course Details

Course Outline

MODULE 1

  • Understand the purpose and capabilities of Google Cloud operations-focused components: Logging, Monitoring, Error Reporting, and Service Monitoring
  • Understand the purpose and capabilities of Google Cloud application performance management focused components: Debugger, Trace, and Profiler

MODULE 2

  • 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

MODULE 3

  • 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

MODULE 4

  • 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

MODULE 5

  • Integrate logging and monitoring agents into Compute Engine VMs and images
  • Enable and use Kubernetes Monitoring
  • Extend and clarify Kubernetes monitoring with Prometheus
  • Expose custom metrics through code and with the help of OpenCensus

MODULE 6

  • Identify and choose among resource tagging approaches
  • Define log sinks (inclusion filters) and exclusion filters
  • Create metrics based on logs
  • Define custom metrics
  • Use Error Reporting to link application errors to Logging
  • Export logs to BigQuery

MODULE 7

  • 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.

MODULE 8

  • Define incident management roles and communication channels
  • Mitigate incident impact
  • Troubleshoot root causes
  • Resolve incidents
  • Document incidents in a post-mortem process

MODULE 9

  • 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.

MODULE 10

  • Understand Stackdriver billing
  • Analyze Stackdriver resource utilization
  • Implement best practices for Stackdriver cost control
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