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Logging, Monitoring, and Observability in Google Cloud Training

24 hours of dedicated learning program

11 modified course modules based on GCP

Comprehend Google Cloud logging basics

Easy-to-manage instalment payments

Online & classroom learning options

4.85/5

6255 Enrolled

course-img

Overview

What you will learn

  • Implement comprehensive logging strategies
  • Configure Cloud Monitoring for insights
  • Utilise Cloud Trace for performance tracking
  • Set up Cloud Debugger for diagnostics
  • Learn to use Cloud Profiler effectively
  • Manage and analyse log data efficiently
  • Troubleshoot issues using Google Cloud tools

Learning objectives

Upon finishing the training, you will master

  • 1

    Build a deep understanding of the significance of logging, monitoring and observability on the Google Cloud Platform

  • 2

    Learn how to implement well-architectured logging and monitoring Google infrastructure

  • 3

    Understand Service Level Indicators (SLIs) and Service Level Objectives (SLOs)

  • 4

    Explore how to create effective monitoring dashboards and alerts

  • 5

    Know the ways to monitor, troubleshoot and improve Google Cloud infrastructure

  • 6

    Analyse and export Google Cloud audit logs

  • 7

    Improve performance and optimise monitoring costs on GCP

  • objective-image

    Ready to get started?

  • Prerequisites

    To enrol in the Logging, Monitoring, and Observability in Google Cloud Course, the following prerequisites are recommended:

    • Have completed Google Cloud Fundamentals: Core Infrastructure or equivalent experience
    • Basic understanding of scripting or coding
    • Understanding of command-line tools and Linux operating system environments

    Overall ratings by our students

    Upcoming sessions

    Our Trainers

    We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

    Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction and ethics.

    Our Trainers

    Related courses

    Curriculum

    • Have completed Google Cloud Fundamentals: Core Infrastructure or equivalent experience
    • Basic understanding of scripting or coding 
    • Understanding of command-line tools and Linux operating system environments
    • 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
    • Construct a monitoring base on the four golden signals: latency, traffic, errors, and saturation
    • Measure customer pain with SLI
    • Define critical performance measures
    • Create and use SLOs and SLAs
    • Achieve developer and operation harmony with error budgets
    • 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
    • Develop alerting strategies
    • Define alerting policies
    • Add notification channels
    • Identify types of alerts and common uses for each
    • Construct and alert resource groups
    • Manage to alert policies programmatically
    • 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
    • Audit Logs
    • Data Access Logging
    • Audit Logs Entry Format
    • Best Practices
    • 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
    • Collect and analyze VPC Flow logs and Firewall Rules logs
    • Enable and monitor Packet Mirroring
    • Explain the capabilities of the 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
    • Define incident management roles and communication channels
    • Mitigate incident impact
    • Troubleshoot root causes
    • Resolve incidents
    • Document incidents in a post-mortem process
    • 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
    • Analyze resource utilization cust for monitoring related components within Google Cloud
    • Implement best practices for controlling the cost of monitoring within Google Cloud

    Frequently asked questions

    Cloud computing is a rapidly growing field with opportunities in abundance for professionals at all levels of experience. This makes cloud computing the most desired sector which provides job stability and impressive salaries.

    Google Cloud Platform (GCP) is one of the leading cloud computing providers. This creates a high demand for professionals with expertise in the platform. Professionals with expertise in GCP have a wide range of job opportunities and an undying demand in the global job market.

    The Logging, Monitoring, and Observability in Google Cloud training is a specialized programme that enables participants to master the fundamentals of monitoring the services and applications on Google Cloud infrastructure. By joining this training, you will be able to advance your career in cloud computing and attract exciting opportunities.

    The Logging, Monitoring, and Observability in Google Cloud course is best suited for professionals wanting to improve their understanding of monitoring and troubleshooting cloud-based applications on Google Cloud. It is ideal for:

    1. Data engineers
    2. DevOps engineers
    3. System administrators
    4. IT professionals
      Developers
    5. IT managers

    The training at Learners Point Academy is interactive, immersive and an intensive hands-on programme. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-on-one training sessions or high-quality live and interactive online sessions at their convenience.

    At Learners Point Academy, if a participant doesn’t wish to proceed with the training after registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the date of withdrawal.

    Do you want to learn more about Learners Point Academy?

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