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Monitoring Kubernetes Cluster using Prometheus and Grafana

Muhammad Ali

In this 2-hour long project-based course on monitoring Kubernetes cluster using Prometheus and Grafana, you will learn to create a Kubernetes cluster using kind. You will also learn to create create deployment and service in our Kubernetes cluster. At the end of the course you will to deploy and explore Kubernetes Dashboard (Web-UI), scrape key metrics using Prometheus, and finally, visualize the scraped metrics on Grafana dashboards.

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In this 2-hour long project-based course on monitoring Kubernetes cluster using Prometheus and Grafana, you will learn to create a Kubernetes cluster using kind. You will also learn to create create deployment and service in our Kubernetes cluster. At the end of the course you will to deploy and explore Kubernetes Dashboard (Web-UI), scrape key metrics using Prometheus, and finally, visualize the scraped metrics on Grafana dashboards.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

Project Overview
Welcome to this project-based course on Monitoring Kubernetes Cluster using Prometheus and Grafana. By the end of this project, you will be familiar with how to create a Kubernetes cluster using kind, create deployment and service in our Kubernetes cluster, deploy and explore Kubernetes Dashboard (Web-UI), scrape key metrics using Prometheus, and finally, visualize the scraped metrics on Grafana dashboards.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides an introduction to monitoring Kubernetes clusters with the industry standard tools Prometheus and Grafana
Suitable for learners interested in developing skills in Kubernetes monitoring and data visualization

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Reviews summary

Prometheus and grafana course

Learners say this course is too basic and sometimes fails to load properly. Simple installation instructions and copy and pasted commands don't help students get beyond the beginning stages of their learning journey. As such, most students say this poorly prepared content is not worth the money and should be avoided.
One student says Coursera would not offer a refund.
"thats the reason there is no refund for such cources."
One student comments on the instructor's uneasiness with the command line.
"The author also struggles with command line which makes these video much long than they should be taking into account that they don't include any valuable knowledge."
Many students say this course is very basic and doesn't explain much beyond installation.
"It's a simple course to start with kubernetes but it doesn't explain more than the installation process."
"V​ery basic course."
"T​he student doesn't learn anything valuable from this course."
Most instructions involve copying and pasting without explanations.
"Too many times copying and pasting commands without a good explanation as to why it was needed."
"It's mainly a copy and paste that does not always work."
"The student doesn't learn anything valuable from this course [...] the instructor does everything for you."
Several learners mention videos not loading, guided projects not working, and misconfiguration issues.
"Development area never loaded. Videos failed to finish loading, would not reload."
"V​ery basic course. Could not run all parts of the guided project, seems to be some kind of misconfiguration or missing files."
"It's mainly a copy and paste that does not always work."

Activities

Coming soon We're preparing activities for Monitoring Kubernetes Cluster using Prometheus and Grafana. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Monitoring Kubernetes Cluster using Prometheus and Grafana will develop knowledge and skills that may be useful to these careers:
Kubernetes Administrator
A Kubernetes Administrator is responsible for managing Kubernetes clusters. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which is a key part of this role.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which is a key part of developing and maintaining cloud-based applications.
Site Reliability Engineer
A Site Reliability Engineer is responsible for ensuring the reliability and uptime of websites and applications. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which is a key part of this role.
Cloud Security Engineer
A Cloud Security Engineer is responsible for securing cloud-based systems and applications. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which are often used in cloud computing.
Cloud Solutions Architect
A Cloud Solutions Architect designs and implements cloud-based solutions. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which are often used in cloud computing.
Cloud Network Engineer
A Cloud Network Engineer is responsible for designing, building, and maintaining cloud-based networks. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which are often used in cloud computing.
Network Engineer
A Network Engineer designs, builds, and maintains computer networks. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which are often used in cloud computing.
Systems Administrator
A Systems Administrator is responsible for managing computer systems. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which is a key part of this role.
Security Engineer
A Security Engineer designs, implements, and maintains security systems. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which are often used in cloud computing.
Machine Learning Engineer
A Machine Learning Engineer develops and deploys machine learning models. This course may be useful because it can help you learn how to use Prometheus to collect and analyze metrics from Kubernetes clusters.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. This course may be useful because it can help you learn how to use Prometheus to collect and analyze metrics from Kubernetes clusters.
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which are often used in cloud computing.
DevOps Engineer
A DevOps Engineer helps to bridge the gap between development and operations teams. This course may be useful because it can help you learn how to monitor and manage Kubernetes clusters, which is a key part of DevOps.
Data Scientist
A Data Scientist uses data to develop models and make predictions. This course may be useful because it can help you learn how to use Prometheus to collect and analyze metrics from Kubernetes clusters.
Cloud Architect
A Cloud Architect designs, builds, and maintains cloud-based solutions. This course may be useful because it can help you build a foundation for working with Kubernetes, a popular container orchestration tool used in cloud computing.

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 Monitoring Kubernetes Cluster using Prometheus and Grafana.
Provides a collection of best practices for using Kubernetes. It covers the topics such as security, scaling, and performance. It valuable resource for anyone who wants to use Kubernetes in a production environment.
Provides a comprehensive guide to designing data-intensive applications. It covers the topics such as data modeling, data storage, and data processing. It valuable resource for anyone who wants to learn more about designing data-intensive applications.
Provides a comprehensive guide to data science for business. It covers the topics such as data mining, machine learning, and data visualization. It valuable resource for anyone who wants to learn more about data science for business.
Provides a comprehensive guide to machine learning for beginners. It covers the topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone who wants to learn more about machine learning.
Provides a comprehensive guide to deep learning for natural language processing. It covers the topics such as word embeddings, sequence models, and attention mechanisms. It valuable resource for anyone who wants to learn more about deep learning for natural language processing.
Provides a comprehensive guide to reinforcement learning. It covers the topics such as Markov decision processes, value functions, and policy gradients. It valuable resource for anyone who wants to learn more about reinforcement learning.

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