EncartaLabs

Logging, Monitoring, and Observability in Google Cloud

( Duration: 3 Days )

This Logging, Monitoring, and Observability in Google Cloud training course provides techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and using a combination of presentations, demos, hands-on labs, and real-world case studies, you will 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.

By attending Logging, Monitoring, and Observability in Google Cloud workshop, delegates will learn 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

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

The Logging, Monitoring, and Observability in Google Cloud class is ideal for:

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

COURSE AGENDA

1

Introduction to Google Cloud Monitoring Tools

  • 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
2

Avoiding Customer Pain

  • 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
3

Monitoring Critical Systems

  • 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
4

Alerting Policies

  • 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
5

Advanced Logging and Analysis

  • 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
6

Working with Audit Logs

  • Audit Logs
  • Data Access Logging
  • Audit Logs Entry Format
  • Best Practices
7

Configuring Google Cloud Services for Observability

  • 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
8

Monitoring Google Cloud VPC

  • 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
9

Managing Incidents

  • Define incident management roles and communication channels
  • Mitigate incident impact
  • Troubleshoot root causes
  • Resolve incidents
  • Document incidents in a post-mortem process
10

Investigating Application Performance Issues

  • 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
11

Optimizing the Costs of Monitoring

  • Analyze resource utilization cust for monitoring related components within Google Cloud
  • Implement best practices for controlling the cost of monitoring within Google Cloud

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 4,000 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 50,000 Corporate executives across the Globe
  • All our trainings are conducted in workshop mode with more focus on hands-on sessions

View our other course offerings by visiting http://encartalabs.com/course-catalogue-all.php

Contact us for delivering this course as a public/open-house workshop/online training for a group of 10+ candidates.

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