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1
Logging, monitoring and observability in Google Cloud
January 1 @ 8:00 AM - 5:00 PM AEST
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Logging, Monitoring, and Observability in Google Cloud
This instructor led live training teaches you how to monitor, troubleshoot, and improve your infrastructure and application performance. Guided by the principles of Site Reliability 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.
What you Will learn
- 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.
What's Included?
Instructor Live Training
An instructor will answer your questions
OFFICIAL GOOGLE CLOUD CONTENT
Course content reflects the latest google cloud class
hands on labs
Real world hands on labs provided by Qwiklabs and supported by instructor
CertIficate of completion
Receive official certificate on completion of 80% of labs
Who's this course for?
- Individuals planning to deploy applications and create application environments on Google Cloud
- Developers, systems operations professionals, and solution architects getting started with Google Cloud
- Executives and business decision makers evaluating the potential of Google Cloud to address their business needs
Level
- Beginner
Language
- Delivered in English
Duration
- 3 x 8 hour session
Prerequisites
- Google Cloud Platform Fundamentals: Core Infrastructure or equivalent experience
- Basic scripting or coding familiarity
- Proficiency with command-line tools and Linux operating system environments
Course Content
Objectives
- 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
Objectives
- 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
Objectives
- 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
Objectives
- 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
Objectives
- 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
Objectives
- 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
Objectives
- 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.
Objectives
- Define incident management roles and communication channels
- Mitigate incident impact
- Troubleshoot root causes
- Resolve incidents
- Document incidents in a post-mortem process
Objectives
- 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.
Objectives
- Understand Stackdriver billing
- Analyze Stackdriver resource utilization
- Implement best practices for Stackdriver cost control
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Ref: T-STACKD-B-01
Details
- Date:
- January 1
- Time:
-
8:00 AM - 5:00 PM AEST
- Class Tags:
- Course: Logging Monitoring and Observability in Google Cloud
- https://axalon.io/training/google-cloud/application-development/logging-monitoring-and-observability-in-google-cloud/
Location
Instructor
- Axalon Academy
- Email:
- training@axalon.io
- View Instructor Website
Other
- Competencies
- Beginner
- Learning Path
- Cloud DevOps Engineer
- Event Type
- Live Virtual Training Day