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T-STACKD-BOfficial Google Curriculum

Logging, Monitoring, and Observability in Google Cloud

2 daysILTIntroductoryLoading...

Overview

This course teaches participants techniques for monitoring and improving infrastructure and application performance in Google Cloud. Using a combination of presentations, demos, hands-on labs, and real-world case studies, attendees 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.

What You'll Learn

  • Explain the purpose and capabilities of Google Cloud Observability
  • Implement monitoring for multiple cloud projects
  • Create alerting policies, uptime checks, and alerts
  • Install and manage Ops Agent to collect logs for Compute Engine
  • Explain Cloud Operations for GKE
  • Analyze VPC Flow Logs and firewall rules logs
  • Analyze and export Cloud Audit Logs instances
  • Profile and identify resource-intensive functions in an application
  • Analyze resource utilization cost for monitoring related components within Google Cloud

Who Should Attend

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

Prerequisites

To get the most out of this course, participants should meet the following requirements: Complete the Google Cloud Fundamentals: Core Infrastructure course or have equivalent experience; Have basic scripting or coding familiarity; Be proficient with command-line tools and Linux operating system environments.

Products Covered

Cloud LoggingCloud MonitoringError ReportingCloud TraceCloud ProfilerGoogle Compute Engine MonitoringGoogle Kubernetes Engine MonitoringVPC Flow LogsFirewall Rules LoggingData Access audit logs

Course Modules

1

Introduction to Google Cloud Observability

Learning Outcomes

  • Describe the purpose and capabilities of Google Cloud Observability
  • Explain the purpose of the Cloud Monitoring tool
  • Explain the purpose of Cloud Logging and Error Reporting tools
  • Explain the purpose of Application Performance Management tools

Activities

One quiz
2

Monitoring critical systems

Learning Outcomes

  • Use Cloud Monitoring to view metrics for multiple cloud projects
  • Explain the different types of dashboards and charts that can be built
  • Create an uptime check
  • Explain the cloud operations architecture
  • Explain and demonstrate the purpose of using Monitoring Query Language (MQL) for monitoring

Activities

One quizOne lab
3

Alerting policies

Learning Outcomes

  • Explain alerting strategies
  • Explain alerting policies
  • Explain error budget
  • Explain why server-level indicators (SLIs), service-level objectives (SLOs), and service-level agreements (SLAs) are important
  • Identify types of alerts and common uses for each
  • Use Cloud Monitoring to manage services

Activities

One quizOne lab
4

Advanced logging and analysis

Learning Outcomes

  • Use Log Explorer features
  • Explain the features and benefits of logs-based metrics
  • Define log sinks (inclusion filters) and exclusion filters
  • Explain how BigQuery can be used to analyze logs
  • Export logs to BigQuery for analysis
  • Use log analytics on Google Cloud

Activities

One quizOne lab
5

Working with Cloud Audit Logs

Learning Outcomes

  • Explain Cloud Audit Logs
  • List and explain different audit logs
  • Explain the features and functionalities of the different audit logs
  • List the best practices to implement audit logs

Activities

One quizOne lab
6

Configuring Google Cloud services for observability

Learning Outcomes

  • Use the Ops Agent with Compute Engine
  • Enable and use Kubernetes Monitoring
  • Explain the benefits of using Google Cloud Managed Service for Prometheus
  • Explain the use of PromQL to query Cloud Monitoring metrics
  • Explain the uses of OpenTelemetry
  • Explain custom metrics

Activities

One quizOne lab
7

Monitoring the Google Cloud network

Learning Outcomes

  • Collect and analyze VPC Flow Logs and firewall rules logs
  • Enable and monitor Packet Mirroring
  • Explain the capabilities of the Network Intelligence Center

Activities

One quizOne lab
8

Investigating application performance issues

Learning Outcomes

  • Explain the features, benefits, and functionalities of Error Reporting, Cloud Trace, and Cloud Profiler

Activities

One quizOne lab
9

Optimizing the costs for Google Cloud Observability

Learning Outcomes

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

Activities

One quiz

What's Not Covered

  • SRE concepts
  • SRE best practices
  • Incident response

Get This Training

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Course Details

Course Code
T-STACKD-B
Duration
2 days
Format
ILT
Level
Introductory
Modules
9
Activities
7
Price
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