Logging, Monitoring, and Observability in Google Cloud

Este curso de tres días dirigido por un instructor enseña a los participantes técnicas para monitorear, solucionar problemas y mejorar la infraestructura y el rendimiento de las aplicaciones en Google Cloud.
Guiados por los principios de Site Reliability Engineering (SRE) y utilizando una combinación de presentaciones, demostraciones, laboratorios prácticos y estudios de casos del mundo real, los asistentes adquieren experiencia con el monitoreo completo, la administración y el análisis de registros en tiempo real. depurar código en producción, rastrear cuellos de botella en el rendimiento de las aplicaciones y perfilar el uso de CPU y memoria.

Objectives

In this course, participants will learn the following skills:

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

Audience

This class is intended for the following audience:

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

Prerrequisites

To get the most out of this course, participants should have:

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

Duration

24 hours (3 days)

Investment

Check the next open public class in our enrollment page.

If you are interested in a private training class for your company, contact us.

Course Outline

The course includes presentations, demonstrations, and hands-on labs.

Module 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

Module 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

Module 3: 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

Module 4: 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

Module 5: 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

Module 6: 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

Module 7: Monitoring Network Security and Audit Logs

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: 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

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

Module 10: 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