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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 collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.
Register for this course and see more details by visiting:
OpenCourser.com/course/poltvi/using
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Explores Open Time-Series Database (OpenTSDB) monitoring and Google Cloud Platform (GCP); focuses on data collection, record-keeping, and monitoring
Teaches OpenTSDB implementation on Google Kubernetes Engine (GKE) and Google Cloud Bigtable; relevant for IT professionals
Self-paced and practical; allows learners to apply concepts in Google Cloud console directly
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Reviews summary
Opentsdb monitoring on gcp: a practical lab
According to learners, this course offers a largely positive experience, serving as a strong foundation for using OpenTSDB on Google Cloud Platform. Students consistently praise the hands-on experience provided within the lab environment, stating that the clear and concise steps make it easy to follow. Many found the course directly applicable for professional development, particularly in setting up time-series monitoring solutions. However, some learners note a significant prerequisite, indicating it assumes prior knowledge of Google Cloud and Kubernetes, which may make it challenging for true beginners. While offering a good introduction, a few reviewers also desired more advanced topics or deeper explanations beyond the basic setup.
Steps are generally easy to follow and well-outlined.
"The steps were clear and concise, making it easy to follow even for someone new to OpenTSDB."
"The practical steps were clearly outlined, and I gained confidence in deploying and using the service."
"This is a solid course. It delivers on its promise to show you how to set up OpenTSDB on GCP."
Provides valuable direct experience with OpenTSDB setup.
"This lab was incredibly practical and provided a solid hands-on experience with OpenTSDB on GCP."
"The hands-on aspect of this course is its strongest point. Being able to deploy and interact with OpenTSDB in a real GCP environment is invaluable."
"The exercises are well-structured and give me confidence in setting up a monitoring solution."
Offers a good introduction but lacks advanced topics or troubleshooting.
"This is a good foundational lab. ... I would have liked more troubleshooting tips or advanced configuration options."
"It gives you a basic setup, but I expected more depth on scaling or advanced queries."
"Some commands felt like copy-pasting without deep explanation. It's useful if you just need to follow steps, less if you want to understand deeply."
Requires familiarity with GCP and Kubernetes for easier learning.
"It assumes a fairly strong background in Kubernetes and GCP, which wasn't fully clear upfront."
"I found this lab quite challenging. The instructions sometimes assume prior knowledge that isn't explicitly mentioned."
"This course is not very beginner-friendly for GCP or Kubernetes, despite the course description suggesting it's for learning."
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 Using OpenTSDB to Monitor Time-Series Data on Cloud Platform with these
activities:
Review 'Monitoring Time-Series Data with OpenTSDB' by Ted Dunning and Ellen Friedman
Show steps
Provides a foundational understanding of how OpenTSDB is used to monitor time-series data on Google Cloud Platform, preparing you for the course content.
Show steps
-
Read the book's introduction and first chapter.
-
Summarize the key concepts of OpenTSDB.
-
Identify use cases for OpenTSDB in time-series data monitoring.
Organize and Review Course Materials
Show steps
Enhances comprehension and retention by reinforcing the key concepts covered in the course.
Show steps
-
Review lecture notes and slides.
-
Complete practice problems and quizzes.
-
Create a study guide or summary of the course material.
Engage in Peer Study Sessions
Show steps
Fosters collaboration, deepens understanding, and provides different perspectives on the course material.
Show steps
-
Find a study partner or group.
-
Discuss concepts, solve problems, and quiz each other.
-
Share notes and resources.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a Simple OpenTSDB Application
Show steps
Provides hands-on experience with OpenTSDB, reinforcing the concepts covered in the course.
Show steps
-
Set up a local development environment for OpenTSDB.
-
Create a simple data generator and write data to OpenTSDB.
-
Build a dashboard to visualize the data.
Solve Practice Problems on Time-Series Data Monitoring
Show steps
Reinforces understanding through repetition and application, improving problem-solving skills.
Show steps
-
Find practice problems online or in textbooks.
-
Work through the problems step-by-step.
-
Check your solutions against provided answers or seek help if needed.
Follow Google's Guided Tutorials on Time-Series Data Monitoring
Show steps
Expands your knowledge of OpenTSDB and related technologies, complementing the course material.
Show steps
-
Identify relevant tutorials on Google's developer portal.
-
Follow the tutorials step-by-step.
-
Take notes and experiment with the code examples.
Create a Blog Post or Presentation on OpenTSDB and Time-Series Monitoring
Show steps
Solidifies understanding by requiring students to explain and present the concepts they have learned, promoting deeper comprehension and retention.
Show steps
-
Choose a specific topic within time-series data monitoring or OpenTSDB.
-
Research and gather information from credible sources.
-
Organize and outline your content.
-
Create the blog post or presentation.
Develop a Time-Series Data Monitoring Solution for a Real-World Problem
Show steps
Provides a challenging and practical application of the skills learned in the course, promoting deeper understanding and retention.
Show steps
-
Identify a real-world problem that involves time-series data.
-
Design and implement a solution using OpenTSDB and other relevant technologies.
-
Evaluate the performance and effectiveness of your solution.
Review 'Monitoring Time-Series Data with OpenTSDB' by Ted Dunning and Ellen Friedman
Show steps
Provides a foundational understanding of how OpenTSDB is used to monitor time-series data on Google Cloud Platform, preparing you for the course content.
Show steps
Show steps
Show steps
- Read the book's introduction and first chapter.
- Summarize the key concepts of OpenTSDB.
- Identify use cases for OpenTSDB in time-series data monitoring.
Organize and Review Course Materials
Show steps
Enhances comprehension and retention by reinforcing the key concepts covered in the course.
Show steps
Show steps
Show steps
- Review lecture notes and slides.
- Complete practice problems and quizzes.
- Create a study guide or summary of the course material.
Engage in Peer Study Sessions
Show steps
Fosters collaboration, deepens understanding, and provides different perspectives on the course material.
Show steps
Show steps
Show steps
- Find a study partner or group.
- Discuss concepts, solve problems, and quiz each other.
- Share notes and resources.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a Simple OpenTSDB Application
Show steps
Provides hands-on experience with OpenTSDB, reinforcing the concepts covered in the course.
Show steps
Show steps
Show steps
- Set up a local development environment for OpenTSDB.
- Create a simple data generator and write data to OpenTSDB.
- Build a dashboard to visualize the data.
Solve Practice Problems on Time-Series Data Monitoring
Show steps
Reinforces understanding through repetition and application, improving problem-solving skills.
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Work through the problems step-by-step.
- Check your solutions against provided answers or seek help if needed.
Follow Google's Guided Tutorials on Time-Series Data Monitoring
Show steps
Expands your knowledge of OpenTSDB and related technologies, complementing the course material.
Show steps
Show steps
Show steps
- Identify relevant tutorials on Google's developer portal.
- Follow the tutorials step-by-step.
- Take notes and experiment with the code examples.
Create a Blog Post or Presentation on OpenTSDB and Time-Series Monitoring
Show steps
Solidifies understanding by requiring students to explain and present the concepts they have learned, promoting deeper comprehension and retention.
Show steps
Show steps
Show steps
- Choose a specific topic within time-series data monitoring or OpenTSDB.
- Research and gather information from credible sources.
- Organize and outline your content.
- Create the blog post or presentation.
Develop a Time-Series Data Monitoring Solution for a Real-World Problem
Show steps
Provides a challenging and practical application of the skills learned in the course, promoting deeper understanding and retention.
Show steps
Show steps
Show steps
- Identify a real-world problem that involves time-series data.
- Design and implement a solution using OpenTSDB and other relevant technologies.
- Evaluate the performance and effectiveness of your solution.
Career center
Learners who complete Using OpenTSDB to Monitor Time-Series Data on Cloud Platform will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
Data Engineers design and build systems to collect, store, process, and manage an organization's data. They are responsible for ensuring that data is accessible, reliable, and secure, for meeting the needs of the business. This course may be useful for Data Engineers who want to build systems based on OpenTSDB and Google Cloud Platform.
Systems Engineer
Systems Engineer
Systems Engineers design, implement, and maintain software and hardware systems. They are responsible for ensuring that systems are reliable, scalable, and secure. This course may be useful for Systems Engineers who want to manage OpenTSDB and Kubernetes environments on Google Cloud Platform.
Data Scientist
Data Scientist
Data Scientists use scientific methods and algorithms to extract insights from data. They are responsible for developing models that can predict future outcomes and for making recommendations based on data analysis. This course may be useful for Data Scientists who want to use OpenTSDB to collect and analyze time-series data.
Data Analyst
Data Analyst
Data Analysts use data to answer business questions and to identify opportunities for improvement. They are responsible for collecting, cleaning, and analyzing data, and for presenting their findings in a clear and concise way. This course may be useful for Data Analysts who want to use OpenTSDB to collect and analyze time-series data.
Database Administrator
Database Administrator
Database Administrators are responsible for the maintenance and performance of an organization's databases. They are responsible for installing, configuring, and maintaining databases, and for ensuring that data is protected and secure. This course may be useful for Database Administrators who want to use OpenTSDB to store and manage time-series data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They are responsible for writing code, testing code, and deploying code to production. This course may be useful for Software Engineers who want to develop applications that use OpenTSDB to collect and analyze time-series data.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing solutions. They are responsible for ensuring that cloud solutions are scalable, reliable, and secure. This course may be useful for Cloud Architects who want to use OpenTSDB and Google Cloud Platform to collect and analyze time-series data from cloud-based applications.
DevOps Engineer
DevOps Engineer
DevOps Engineers combine the skills of software engineers and system administrators to automate the process of software development and deployment. They are responsible for building and maintaining CI/CD pipelines, and for ensuring that software is deployed securely and efficiently. This course may be useful for DevOps Engineers who want to use OpenTSDB and Kubernetes to monitor time-series data from cloud-based applications.
Network Engineer
Network Engineer
Network Engineers design, build, and maintain computer networks. They are responsible for ensuring that networks are reliable, scalable, and secure. This course may be useful for Network Engineers who want to use OpenTSDB to monitor the performance of network devices and to identify potential network problems.
Security Analyst
Security Analyst
Security Analysts identify and mitigate security risks to an organization's information systems. They are responsible for developing and implementing security policies, and for monitoring and investigating security incidents. This course may be useful for Security Analysts who want to use OpenTSDB to collect and analyze security-related data.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. They are responsible for gathering requirements, analyzing data, and developing solutions that meet the needs of the business. This course may be useful for Business Analysts who want to use OpenTSDB to collect and analyze data from business systems.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They are responsible for defining the product vision, setting the product roadmap, and managing the product team. This course may be useful for Product Managers who want to use OpenTSDB to collect and analyze data about product usage.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. They are responsible for identifying target markets, developing marketing materials, and measuring the effectiveness of marketing campaigns. This course may be useful for Marketing Managers who want to use OpenTSDB to collect and analyze data about marketing campaign performance.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and managing sales teams. They are responsible for setting sales goals, developing sales strategies, and motivating sales teams to achieve their goals. This course may be useful for Sales Managers who want to use OpenTSDB to collect and analyze data about sales performance.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are successful in using a company's products or services. They are responsible for providing support to customers, resolving customer issues, and identifying opportunities for customer growth. This course may be useful for Customer Success Managers who want to use OpenTSDB to collect and analyze data about customer usage.
For more career information including salaries, visit:
OpenCourser.com/course/poltvi/using
Reading list
We've selected ten 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
Using OpenTSDB to Monitor Time-Series Data on Cloud Platform.
Save
Provides a comprehensive and rigorous treatment of statistical methods for time series analysis. It valuable resource for professionals and researchers in the field.
Save
Is a classic textbook on time series analysis and is considered one of the most influential works in the field. It provides a detailed and comprehensive treatment of the subject.
Save
Is a companion book to the previous entry and provides practical guidance on using R for time series analysis. It useful resource for those familiar with R and want to apply it to time-series data.
Provides a comprehensive overview of time series data analysis techniques using R. It valuable resource for anyone who wants to learn more about this important field.
Provides a comprehensive guide to Kubernetes. It covers a wide range of topics, from basic concepts to advanced features. It valuable resource for anyone who wants to learn more about Kubernetes.
Save
Provides a comprehensive overview of forecasting techniques and their applications. It covers topics such as time-series decomposition, exponential smoothing, and Bayesian forecasting.
Provides a practical and accessible introduction to time series analysis. It is useful for beginners and those who want to gain a solid understanding of the fundamentals.
Focuses on using Prometheus, a popular open-source monitoring system, to collect and visualize metrics. It covers topics such as metric collection, alerting, and data analysis.
Provides a practical guide to using Pandas, a popular Python library for data manipulation and analysis. It is particularly useful for working with time-series data in Python.
Provides a broader context for using big data technologies, including time-series data analysis. It covers topics such as data processing, machine learning, and distributed computing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/poltvi/using
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