Logging, Monitoring and Observability in Google Cloud

Name: Logging, Monitoring and Observability in Google Cloud
Start: 2023-04-10 00:00:00
Location: Virtual Classroom

This three-day instructor-led course covers techniques for monitoring, troubleshooting, and improving infrastructure and application performance on the Google Cloud Platform.

3 day course

Supporting material

Virtual, Private

Virtual Classroom

A convenient and interactive learning experience, that enables you to attend one of our courses from the comfort of your own home or anywhere you can log on. We offer Virtual Classroom on selected live classroom courses where this will appear as an option under the location drop down if available. These can also be booked as Private Virtual Classrooms for exclusive business sessions.

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

This course covers the techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud Platform (GCP) guided by the principles of Site Reliability Engineering (SRE).

Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees 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.

Our Logging, Monitoring and Observability in Google Cloud is available as a private training session and will run over three consecutive days. It can be delivered at our training facilities in San Francisco or Baltimore, a location of your choice or via Virtual Classroom.

Course overview

Who should attend:

This course is intended for the following participants for Cloud architects, Administrators and SysOps personnel or Cloud developers and DevOps personnel.

Walk away with the ability 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 GCP infrastructure
Analyze and export GCP audit logs
Find production code defects, identify bottlenecks, and improve performance
Optimize monitoring costs

Prerequisites

Attendees should have basic scripting or coding ability and proficiency with command-line tools and Linux operating system environments. They should also understand the principles of GCP as covered in the one day course Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience.

Course agenda

Module 1: Defining a Monitoring Plan

Understand the four golden signals: latency, traffic, errors, and saturation
Define SLIs (measures of customer pain)
Define critical performance measures
Define SLOs and SLAs
Define error budgets

Module 2: Introduction to GCP Monitoring Tools

The purpose and capabilities of GCP operations-focused components [Logging, Monitoring, Error Reporting, and Service Monitoring]
The purpose and capabilities of GCP application performance management focused components (Debugger, Trace, Profiler)

Module 3: Monitoring Critical Systems

Use the default dashboards appropriately
Build custom dashboards to show resource consumption and application load
Define uptime checks to track aliveness and latency

Module 4: Alerting Policies

Defining alerting policies
Defining alerts based on policy violations
Optimise alerts for actionability
Know types of alerts and common uses for each
Implement best practices for alerting policies
Define and alert on resource groups
Manage alerting policies programmatically using GCP Monitoring API

Module 5: Configuring GCP Services for Observability

Define the monitoring project architecture in accordance with best practices
Define Cloud IAM roles for monitoring
Define labels and tags for resources
Bake agents into VM images for app visibility in Compute Engine
Install Kubernetes Monitoring
Expose app data for Kubernetes Engine apps using Prometheus and OpenCensus

Module 6: Advanced Logging and Analysis

Know and choose among resource tagging approaches
Connect application errors to Logging using Error Reporting
Define log sinks (inclusion filters) and exclusion filters; understand the batch-vs.-realtime nature of data availability in log sinks
Create metrics based on logs
Define custom metrics
Export logs to BigQuery
Analyze logs using BigQuery

Module 7: Analyzing GCP Audit Logs

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: Managing Incidents

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

Module 9: Investigating Application Performance Issues

Use Debugger to identify code defects in production
Use Trace to find performance bottlenecks in production
Use Profiler to find resource-intensive functions in an application

Module 10: Optimizing the Costs of Monitoring

Understand the billing of monitoring components within GCP
Analyze the resource utilization of monitoring components within GCP
Implement best practices for controlling the cost of monitoring within GCP

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