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Overview

Logging, Monitoring and Observability in Google Cloud. This certification & training courses teaches participants techniques for monitoring, troubleshooting, and improving infrastructure and application performance in Google Cloud. Guided by the principles of Site Reliability Engineering (SRE), and 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.
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What You'll Learn

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

Who Should Attend

This class is intended for the following participants:

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

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

Learning Journey

Coming Soon...

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 cost for monitoring related components within Google Cloud.
  • Implement best practices for controlling the cost of monitoring within Google Cloud.
This course is not associated with any certification.

Frequently Asked Questions (FAQs)

  • Why get Google Cloud Platform (GCP) certified?

    Google Cloud certifications validate your expertise in cloud technologies and your proficiency in using Google Cloud Platform's vast array of services.

    These certifications are recognized globally and highly sought after by employers, as they demonstrate your ability to design, develop, and manage scalable and secure cloud solutions on GCP.

    Google Cloud-certified professionals are in high demand, opening doors to new career opportunities and higher earning potential.

  • What to expect for the examination?

    Google Cloud offers a variety of certification exams across different levels (Foundational, Associate, and Professional) covering various job roles and specializations.

    The exams typically consist of multiple-choice and multiple-select questions, as well as scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is Google Cloud Platform (GCP) certification valid for?

    Most Google Cloud certifications, including Professional-level certifications, are valid for two years from the date of passing the exam.

    The Cloud Digital Leader and Associate Cloud Engineer certifications are valid for three years from the date of passing the exam.

    To maintain your certification, you will need to recertify by passing the latest version of the same exam or an equivalent higher-level certification exam before your current certification expires.

    You will receive a notification from Google Cloud prior to your certification's expiration date.

    Note: Certification requirements and policies may be updated by Google Cloud from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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