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

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

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

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

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

Explore how to create effective monitoring dashboards and alerts

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

Analyse and export Google Cloud audit logs

Improve performance and optimise monitoring costs on GCP

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.

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:

Data engineers
DevOps engineers
System administrators
IT professionals
Developers
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.