Szkolenia Google Cloud

Cel szkolenia szkolenie zdalne - dlearning

kod: G-LMOGC | wersja: 1.0

Learn how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the principles of Site Reliablity Engineering (SRE), this course features a combination of lectures, demos, hands-on labs, and real-world case studies. In this course, you'll gain experience with full-stack monitoring, real-time log management and analysis, debugging code in production, and profiling CPU and memory usage.

This course teaches participants 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

This class is intended for the following participants:

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

Plan szkolenia Rozwiń listę

  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. 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.
  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.
  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.
  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.
  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.
  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.
  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.
  10. Optimizing the Costs of Monitoring
    • Analyze resource utilization cost for monitoring related components within Google Cloud.
    • Implement best practices for controlling the cost of monitoring within Google Cloud.
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Dodatkowe informacje

Wymagania wstępne

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
Poziom trudności
Czas trwania 3 dni
Certyfikat

The participants will obtain certificates signed by Google Cloud.

This course additionally helps prepare for Professional Cloud DevOps Engineer certification exam available at Kryterion test centers.
Prowadzący

Authorized Google Cloud Trainer.

Pozostałe szkolenia Google Cloud | Application modernization

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