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Using OpenTSDB to Monitor Time-Series Data on Cloud Platform
Google Cloud Training
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
What's inside
Syllabus
Using OpenTSDB to Monitor Time-Series Data on Cloud Platform
Good to know
Good to know
Know what's good ,
what to watch for , 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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Activities
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We're preparing activities for
Using OpenTSDB to Monitor Time-Series Data on Cloud Platform.
These are activities you can do either before, during, or after a course.
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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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
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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