Curso Logging, Monitoring, and Observability in Google Cloud

• Arquitectos de la nube, administradores y personal de SysOps.
• Desarrolladores de la nube y personal de DevOps.

• Planificar e implementar una infraestructura de registro y monitoreo bien diseñada.
• Definir indicadores de nivel de servicio (SLIs) y objetivos de nivel de servicio (SLOs).
• Crear dashboards y alertas de monitoreo efectivos.
• Supervisar, solucionar problemas y mejorar la infraestructura de Google Cloud.
• Analizar y exportar los registros de auditoría de Google Cloud.
• Encontrar defectos en el código de producción, identificar cuellos de botella y mejorar el rendimiento.
• Optimizar los costos de monitoreo.

Módulo 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.

Módulo 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.

Módulo 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.

Módulo 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.

Módulo 5: Configuring Google Cloud Services for Observability

• 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.

Módulo 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.
• Use Error Reporting to link application errors to Logging.
• Export logs to BigQuery.

Módulo 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.

Módulo 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.

Módulo 9: 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.

Módulo 10: Optimizing Stackdriver Costs

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

Documentación oficial para el curso Logging, Monitoring, and Observability in Google Cloud.

• Formador certificado por Google Cloud.
• Más de 5 años de experiencia profesional.
• Más de 4 años de experiencia docente.
• Profesional activo en empresas del sector IT.