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Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use Cloud Logging to analyze your logs.

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What's inside

Syllabus

Log Analytics on Google Cloud

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops logging and analysis skills for working with Google Cloud
Teaches best practices for monitoring and troubleshooting applications using Cloud Logging
Delivers hands-on labs for practical experience with Cloud Logging

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Log Analytics on Google Cloud with these activities:
Organize Course Materials
Enhance your preparedness by organizing course materials (slides, notes, labs, etc.) for easy access and revision.
Show steps
  • Create a dedicated storage system for course materials.
  • Establish a consistent naming convention for files.
  • Regularly review and update organized materials.
Practice Log Syntax Review
Reinforce your understanding of log syntax with various practice exercises.
Show steps
  • Review log syntax documentation.
  • Complete practice exercises on log syntax.
  • Apply learned syntax to real-world log examples.
Review Observability Engineering Best Practices
Expand your knowledge of observability engineering by reviewing a foundational book on best practices.
Show steps
  • Read and take notes on key concepts and principles.
  • Identify practical techniques to apply in your own projects.
  • Discuss key takeaways and questions with peers.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Follow Troubleshooting Tutorial
Deepen your troubleshooting skills by following a step-by-step tutorial for common logging issues.
Show steps
  • Locate and review the troubleshooting tutorial.
  • Follow the steps outlined in the tutorial.
  • Apply the troubleshooting techniques to resolve real-world log issues.
Analyze Sample Logs
Develops your log analysis skills, equipping you to effectively extract insights from logs.
Browse courses on Log Analysis
Show steps
  • Obtain sample logs from the course materials or online resources.
  • Use log analysis tools to identify patterns and trends.
  • Draw inferences and conclusions based on your analysis.
Log Analysis Peer Review
Exchange knowledge and best practices by conducting peer reviews of log analysis techniques.
Show steps
  • Form a peer review group.
  • Select a specific log analysis scenario for peer review.
  • Exchange and analyze results, providing feedback and suggestions.
Assist Peers in Log Analysis
Solidifies your understanding by assisting others and deepens your knowledge through engagement.
Show steps
  • Join online forums or discussion groups related to Cloud Logging.
  • Provide guidance to peers on log analysis techniques and best practices.
  • Engage in discussions to refine your own understanding.
Analyze Real-World Log Data
Get hands-on experience with real-world log data to develop a comprehensive understanding of log analysis techniques.
Show steps
  • Identify a specific use case or project.
  • Collect and prepare log data from the selected source.
  • Apply log analysis techniques to extract insights and identify patterns.
  • Present findings and recommendations based on the analysis.
Design a Log Monitoring System
Tests your ability to apply Cloud Logging principles by designing and implementing a log monitoring system.
Browse courses on Log Monitoring
Show steps
  • Define the scope and objectives of your log monitoring system.
  • Choose appropriate logging tools and services.
  • Create alerts and dashboards to monitor logs effectively.
Build Log Analysis Dashboard
Enhance your practical skills by designing and implementing a customizable dashboard for visualizing and analyzing logs.
Show steps
  • Gather requirements for the dashboard.
  • Select appropriate visualization tools and techniques.
  • Implement the dashboard using Cloud Logging.
  • Evaluate and refine the dashboard for optimal functionality.

Career center

Learners who complete Log Analytics on Google Cloud will develop knowledge and skills that may be useful to these careers:
Log Analyst
Log Analysts collect, analyze, and interpret log data to identify trends and patterns. They use their knowledge of log analysis techniques to help businesses make informed decisions. This course may be useful for Log Analysts by providing them with a foundation in Google Cloud Logging. This knowledge can help them to collect and analyze log data to identify trends and patterns that can help their businesses make informed decisions.
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. They use their knowledge of data analysis techniques to identify trends and patterns in data. This course may be useful for Data Analysts by providing them with a foundation in Google Cloud Logging. This knowledge can help them to collect and analyze log data to identify trends and patterns that can help their businesses make informed decisions.
Database Administrator
Database Administrators manage and maintain database systems. They use their knowledge of database technologies to create solutions that meet the needs of their clients. This course may be useful for Database Administrators by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their clients.
Web Developer
Web Developers design, develop, and test web applications. They use their knowledge of web development technologies to create solutions that meet the needs of their clients. This course may be useful for Web Developers by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their clients.
Network Administrator
Network Administrators design, implement, and manage computer networks. They use their knowledge of networking technologies to create solutions that meet the needs of their clients. This course may be useful for Network Administrators by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their clients.
Technical Support Engineer
Technical Support Engineers provide technical support to users of computer systems. They use their knowledge of computer systems to help users resolve problems and improve their productivity. This course may be useful for Technical Support Engineers by providing them with a foundation in Google Cloud Logging. This knowledge can help them to provide technical support to users who are experiencing problems with Google Cloud Logging.
Data Engineer
Data Engineers design, develop, and manage data pipelines. They use their knowledge of data engineering technologies to create solutions that meet the needs of their clients. This course may be useful for Data Engineers by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their clients.
Project Manager
Project Managers are responsible for the planning, execution, and delivery of projects. They use their knowledge of project management techniques to create solutions that meet the needs of their clients. This course may be useful for Project Managers by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their projects.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They use their knowledge of both development and operations technologies to create solutions that meet the needs of their clients. This course may be useful for DevOps Engineers by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their clients.
IT Manager
IT Managers are responsible for the overall management of an organization's information technology systems. They use their knowledge of IT technologies to create solutions that meet the needs of their organization. This course may be useful for IT Managers by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their organization.
Software Developer
Software Developers design, develop, and test software applications. They use their knowledge of software development technologies to create solutions that meet the needs of their clients. This course may be useful for Software Developers by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their clients.
Security Analyst
Security Analysts identify, assess, and mitigate security risks. They use their knowledge of security technologies to create solutions that meet the needs of their clients. This course may be useful for Security Analysts by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their clients.
Software Architect
Software Architects design, develop, and manage software systems. They use their knowledge of software engineering technologies to create solutions that meet the needs of their clients. This course may be useful for Software Architects by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their clients.
System Administrator
System Administrators manage and maintain computer systems. They use their knowledge of system administration technologies to create solutions that meet the needs of their clients. This course may be useful for System Administrators by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their clients.
Cloud Architect
Cloud Architects design, develop, and manage cloud computing systems. They use their knowledge of cloud computing technologies to create solutions that meet the needs of their clients. This course may be useful for Cloud Architects by providing them with a foundation in Google Cloud Logging. This knowledge can help them to create and manage logging solutions that meet the needs of their clients.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Log Analytics on Google Cloud.
Comprehensive guide to Elasticsearch, a popular open-source search and analytics engine. It covers topics such as data ingestion, indexing, querying, and scaling.
Provides a practical guide to log analysis. It covers topics such as log collection, parsing, and analysis, and great resource for anyone looking to learn more about log analysis.
Provides a detailed guide to logging and monitoring in a microservices architecture. It covers topics such as log aggregation, metric collection, and distributed tracing, and great resource for anyone looking to learn more about logging and monitoring in microservices.
Provides a comprehensive guide to designing and building data-intensive applications. It covers topics such as data modeling, data storage, and data processing, and great resource for anyone looking to learn more about data-intensive applications.
Provides a comprehensive guide to machine learning with Python, a popular programming language for machine learning. It covers topics such as supervised learning, unsupervised learning, and deep learning, and great resource for anyone looking to learn more about machine learning.
Provides a comprehensive guide to deep learning with Python, a popular programming language for deep learning. It covers topics such as deep neural networks, convolutional neural networks, and recurrent neural networks, and great resource for anyone looking to learn more about deep learning.

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