Course Overview of Logging, Monitoring and Observability in Google Cloud

Dive Deeper into Google Cloud Logging Monitoring and Observability by mastering skills in:  

  • Google Cloud’s monitoring services, understanding the health and performance of your entire infrastructure, from VMs to applications. 
  • Uncover hidden insights and patterns in your logs, proactively identifying potential issues and optimizing performance. 
  • Learn advanced techniques for debugging code in production, quickly resolving issues, and minimizing downtime. 
  • Pinpoint the exact bottlenecks impacting your application performance, enabling targeted optimizations for a smoother user experience. 
  • Analyze CPU and memory usage to identify underutilized resources and opportunities for cost optimization. 

After completing this Logging Monitoring and Observability course, Students will be able to:

    • Dive into hands-on practice with essential Google Cloud logging monitoring and observability:
  • Grasp the purpose and capabilities of Google Cloud's operations suite, becoming a confident navigator of your cloud environment.
  • Implement robust monitoring for all your cloud projects, ensuring no stone is left unturned.
  • Craft customized alerting policies, uptime checks, and alerts to stay ahead of issues before they impact your users.
  • Install and manage Ops Agent to collect comprehensive logs for your Compute Engine instances.
  • Master Cloud Operations for GKE, ensuring smooth performance and efficient management of your containerized applications.
  • Analyze VPC Flow Logs and firewall rules logs to identify potential security threats and maintain a secure cloud posture.
  • Gain valuable insights from Cloud Audit Logs, extracting vital information and exporting it for deeper analysis.
  • Profile and identify resource-intensive functions in your applications, optimizing performance and reducing costs.
  • Analyze resource utilization costs associated with your monitoring components, ensuring wise financial management within your cloud infrastructure.

Upcoming Batches

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Start Date End Date

2024-12-09

2024-12-11

2024-12-16

2024-12-18

2024-12-23

2024-12-25

2024-12-30

2025-01-01

2025-01-06

2025-01-08

Logging Monitoring and Observability with Google Cloud: Key Features:

  • Our Google Cloud Platform training modules have 50% - 60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).
  • GCP-certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).
  • Well-structured use cases to simulate challenges encountered in a Real-World environment during Google Cloud Platform training.
  • Integrated teaching assistance and support through an experts-designed Learning Management System (LMS) and Exam Ready platform.
  • Being an official Google Cloud Platform Training Partner, we offer authored curricula aligned with industry standards.

Who Should Attend this Course on Logging Monitoring and Observability Specialization:

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

Prerequisites:

    To get the most out of this course, participants should:
  • Have completed the Google Cloud Platform Fundamentals: Core Infrastructure course or have equivalent experience.
  • Have basic scripting or coding familiarity.
  • Be proficient with command-line tools and Linux operating system environments.

    • Why choose CloudThat as your Logging Monitoring and Observability Training Partner?

    • Specialized GCP Focus: CloudThat specializes in cloud technologies, offering focused and specialized training programs. We are Authorized Trainers for the Google Cloud Platform. This specialization ensures in-depth coverage of GCP services, use cases, best practices, and hands-on experience tailored specifically for GCP.
    • Industry-Recognized Trainers: CloudThat has a strong pool of industry-recognized trainers certified by GCP. These trainers bring real-world experience and practical insights into the training sessions, comprehensively understanding how GCP is applied in different industries and scenarios.
    • Hands-On Learning Approach: CloudThat emphasizes a hands-on learning approach. Learners can access practical labs, real-world projects, and case studies that simulate actual GCP environments. This approach allows learners to apply theoretical knowledge in practical scenarios, enhancing their understanding and skill set.
    • Customized Learning Paths: CloudThat understands that learners have different levels of expertise and varied learning objectives. We offer customized learning paths, catering to beginners, intermediate learners, and professionals seeking advanced GCP skills.
    • Interactive Learning Experience: CloudThat's training programs are designed to be interactive and engaging. We utilize various teaching methodologies like live sessions, group discussions, quizzes, and mentorship to keep learners engaged and motivated throughout the course.
    • Placement Assistance and Career Support: CloudThat often provides placement assistance and career support services. This includes resume building, interview preparation, and connecting learners with job opportunities through our network of industry partners and companies looking for GCP-certified professionals.
    • Continuous Learning and Updates: CloudThat ensures that our course content is regularly updated to reflect the latest trends, updates, and best practices within the GCP ecosystem. This commitment to keeping the content current enables learners to stay ahead in their GCP knowledge.
    • Positive Reviews and Testimonials: Reviews and testimonials from past learners can strongly indicate the quality of training provided. You can Check feedback and reviews about our GCP courses that can provide potential learners with insights into the effectiveness and value of the training.

    Learning objective of the course:

      • By completing this course on Logging Monitoring and Observability, you can:
    • Master Google Cloud's operations suite, confidently monitoring and managing your entire infrastructure, from VMs to applications.
    • Uncover hidden insights and patterns in logs, proactively identifying potential issues, optimizing performance, and preventing downtime.
    • Learn advanced techniques for debugging code in production, pinpointing and resolving issues quickly to minimize user impact.
    • Trace application performance bottlenecks to their source, enabling targeted optimizations for a smooth and responsive user experience.
    • Analyze CPU and memory usage to identify underutilized resources, optimize performance, and achieve cost savings.
    • Analyze resource utilization costs associated with monitoring components, ensuring wise financial management within your Google Cloud environment.

    Course Outline Download Course Outline

    Topics:

    • Describe the purpose and capabilities of Google Cloud’s operations suite
    • Explain the purpose of the Cloud Monitoring tool.
    • Explain the purpose of Cloud Logging and Error Reporting tools.
    • Explain the purpose of Application Performance Management

    Activities

    • 1 quiz

    Topics:

    • Use Cloud Monitoring to view metrics for multiple cloud projects.
    • Explain the different types of dashboards and charts that can be built.
    • Create an uptime check.
    • Explain the cloud operations architecture.
    • Explain and demonstrate the purpose of using Monitoring Query Language (MQL) for monitoring.

    Activities:

    • 1 quiz
    • 1 lab

    Topics:

    • Explain alerting strategies.
    • Explain alerting policies.
    • Explain the error budget.
    • Explain why server-level indicators (SLIs), service-level objectives (SLOs), and service-level agreements (SLAs) are important.
    • Identify types of alerts and common uses for each.
    • Use Cloud Monitoring to manage services.

    Activities:

    • 1 quiz
    • 1 labs

    Topics:

    • Use Log Explorer features.
    • Explain the features and benefits of logs-based metrics.
    • Define log sinks (inclusion filters) and exclusion filters.
    • Explain how BigQuery can be used to analyze logs.
    • Export logs to BigQuery for analysis.
    • Use log analytics on Google Cloud.

    Activities:

    • 1 quiz
    • 1 lab

    Topics:

    • Explain Cloud Audit Logs.
    • List and explain different audit logs.
    • Explain the features and functionalities of the different audit logs.
    • List the best practices to implement audit logs.

    Activities:

    • 1 quiz
    • 1 lab

    Topics:

    • Use the Ops Agent with Compute Engine.
    • Enable and use Kubernetes Monitoring.
    • Explain the benefits of using Google Cloud Managed Service for Prometheus.
    • Explain the usage of PromQL to query Cloud Monitoring metrics.
    • Explain the uses of Open Telemetry.
    • Explain custom metrics.

    Activities:

    • 1 quiz
    • 1 lab

    Topics:

    • Collect and analyze VPC Flow Logs and firewall rules logs.
    • Enable and monitor Packet Mirroring.
    • Explain the capabilities of the Network Intelligence Center.

    Activities:

    • 1 quiz
    • 1 lab

    Topics:

    • Explain the features and benefits of Cloud Trace.
    • List and explain the functionalities of the components of Cloud Trace.
    • Describe the features and functionalities of Cloud Profiler
    • List and explain the functionalities of the components of Cloud Profiler.

    Activities:

    • 1 quiz
    • 1 lab

    Course Fee

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    Course ID: 19249

    Course Price at

    ₹24900 + 18% GST
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