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Logging, Monitoring, and Observability in Google Cloud Course Overview


Logging, Monitoring and Observability in Google Cloud is a course designed to teach the basics of using the Google Cloud platform and related software engineering practices to manage and analyze distributed data and applications. The course covers topics related to log management, monitoring, and observability using Google Cloud and covers both the concepts and practices of using Google Cloud services to quickly capture, store, and analyze log data.
The course provides an introduction to the services and architecture of Google Cloud and explores the tools, libraries, and frameworks available for log collection, storage, and analysis. It provides a hands-on approach to logging and monitoring and covers case studies that demonstrate how these technologies can be used to identify, investigate, and troubleshoot application performance issues. Additionally, the course covers how to set up alerting, monitoring and dashboarding solutions in Google Cloud.
Upon completion of the course, learners will be able to develop strategies for using the Cloud logging, monitoring, and observability services to manage their applications and infrastructure effectively.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

Logging, Monitoring, and Observability in Google Cloud
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The 1-on-1 Advantage

Get 1on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

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
  • 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 on resource groups
  • Manage alerting 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 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
Live Online Training (Duration : 24 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Logging, Monitoring, and Observability in Google Cloud
Course Prerequisites

This course is designed for Cloud Solution Architects, Systems Engineers, Site Reliability Engineers, Network Specialists and other Technical Professionals with a good understanding of Google Cloud Platform. It is recommended for participants to have experience using the Google Cloud Platform, in particular, experience using the GCP Console and the gcloud command line tool. It is also recommended to have basic knowledge of abstract container technologies, such as Kubernetes, Docker or Apache Mesos, a basic understanding of Cloud Native architectures, and an understanding of system, application and/or network performance and productivity metrics.

Target Audience


The target audience for the Logging, Monitoring, and Observability in Google Cloud training would be anyone responsible personnel working in the Google Cloud platform
This could include engineers, developers, administrators, architects and others interested in learning Cloud management
They need a basic knowledge of the Google Cloud Platform, have a familiarity with Linux command-line interfaces, and be comfortable with the use of open source tools such as Kubernetes and Docker
Knowing how to configure and secure a GCP infrastructure is a plus
They should have some knowledge of software development and be comfortable coding services, although this is not required
Additionally, familiarity with deployment automation tools such as Ansible and Chef is a plus, but not a requirement

Learning Objectives of Logging, Monitoring, and Observability in Google Cloud


The Objectives of Logging, Monitoring, and Observability in Google Cloud Training are:
1. Understanding the fundamentals of logging and monitoring and how to configure them for your application in Google Cloud Platform (GCP).
2. Gain necessary knowledge and experience in deploying and managing application metrics.
3. Learning how to perform data analytics using cloud monitoring tools.
4. Implementing Logging and Monitoring solutions across different services in GCP, including App Engine, Compute Engine, Storage, and BigQuery.
5. Discovering tips and tricks to ensure your Cloud applications can scale and remain resilient in runtime.
6. Understanding the importance of monitoring data pipelines and gain experience using Cloud-native Monitoring & alerting.
7. Applying best practices in identifying and triaging alerts in GCP.
8. Discovering observability fundamentals and strategies in GCP.
9. Implementing an automated logging, monitoring and observability approach in running applications.
10. Leveraging GCP services for logging and monitoring to streamline operations for DevOps teams.

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FAQ's

1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
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Yes, we also offer weekend classes.
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It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
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You will receive the digital certificate post training completion via learning enhancement tool after registration.
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