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A Cloud Guru
This course establishes a baseline for AIOps by utilizing Prometheus for managing time-series metrics produced by Node Exporter and cAdvisor. The course guides the student through the fundamental concepts required for AIOps and the use of streaming metrics to influence autoscaling. The culmination of the course is the integration of the Prometheus rules with the Kubernetes APIServer to scale nodes in an active Kubernetes cluster. Interactive Diagram: https://interactive.linuxacademy.com/diagrams/AIOpsEssentials.html
This course is no longer available. Find something similar by browsing:
AIOps
Prometheus
Kubernetes
Autoscaling
Node Exporter
Cadvisor
Time-Series Metrics
Register for this course and see more details by visiting:
OpenCourser.com/course/ngsb4s/aiops
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Develops knowledge and skills in the monitoring and automation of cloud-native applications
Provides a foundation for understanding and implementing AIOps practices
Prepares learners for working with Prometheus, Node Exporter, and cAdvisor
Emphasizes the integration of monitoring and autoscaling for improved performance
Taught by A Cloud Guru, recognized for their expertise in cloud computing
Requires learners to have some prior experience with cloud computing and monitoring
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Reviews summary
Aiops: practical kubernetes autoscaling
According to students, this course offers a solid and practical introduction to AIOps, with a strong emphasis on autoscaling Kubernetes using Prometheus metrics. Learners consistently praise the hands-on labs and exercises, finding them invaluable for applying concepts in real-world scenarios. While largely positively received, a recurring theme indicates that some lab environments may feel slightly outdated due to rapidly evolving tool versions, potentially requiring additional troubleshooting. The course is best suited for professionals with some prior knowledge of Kubernetes and Prometheus, as the pace can be quick for absolute beginners.
Instructor provides clear and concise explanations.
"The instructor clearly knows their stuff."
"The instructor was clear and concise."
"The instructor's explanations are top-notch. I feel much more confident in this area now."
Builds a clear understanding of AIOps fundamentals.
"The course covers key aspects of AIOps with Kubernetes and Prometheus."
"A solid introduction to AIOps concepts and their application with Prometheus and Kubernetes."
"It builds a strong foundation for AIOps."
Provides extensive practical experience through labs.
"This course is incredibly practical and hands-on. The labs were fantastic and truly helped me understand..."
"Excellent course! The material is well-structured, and the hands-on exercises provided invaluable experience."
"The practical labs reinforce the theoretical concepts perfectly. This course provided practical, immediately applicable knowledge."
Best for those with existing Kubernetes/Prometheus skills.
"I struggled with this course. It assumes too much prior knowledge of Kubernetes and Prometheus."
"As a relative beginner, I felt lost in the technical jargon and the labs were hard to follow without constant external research."
"My only minor gripe is that sometimes the pace felt a little fast, especially for a beginner..."
Some lab setups may be out of sync with current tools.
"The course has good intentions but feels slightly outdated in some areas, especially with rapidly evolving Kubernetes versions."
"I found some of the labs didn't work exactly as expected due to versioning issues, which was frustrating."
"I spent a fair amount of time debugging my setup rather than learning the core concepts. Needs an update to the lab environments..."
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 AIOps Essentials (Autoscaling Kubernetes with Prometheus Metrics) with these
activities:
Review Cloud Monitoring Concepts
Show steps
Refresh your understanding of cloud monitoring concepts such as metrics, logs, and traces, providing a solid foundation for understanding AIOps principles.
Browse courses on
Cloud Monitoring
Show steps
-
Review key concepts of cloud monitoring.
-
Explore different types of monitoring tools and techniques.
Read 'Site Reliability Engineering' by Betsy Beyer
Show steps
Gain a comprehensive understanding of the principles and practices of Site Reliability Engineering (SRE), which is closely aligned with AIOps and enhances your knowledge of system reliability and availability.
View
Site Reliability Engineering: How Google Runs...
on Amazon
Show steps
-
Read Chapter 2: 'The Four Golden Signals'.
-
Read Chapter 7: 'Error Budgets'.
Review Linux Command Line Tools for AIOps
Show steps
Brush up on essential Linux command line tools like 'grep', 'awk', and 'sed' to process and analyze log files and metrics, enhancing your AIOps toolkit.
Browse courses on
Linux Command Line
Show steps
-
Review basic Linux command line syntax.
-
Practice using common commands for data manipulation.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Building Metrics with Node Exporter and cAdvisor
Show steps
Practice building and collecting metrics using Node Exporter and cAdvisor to solidify your understanding of data collection for AIOps.
Browse courses on
Node Exporter
Show steps
-
Set up Node Exporter and cAdvisor in a Kubernetes cluster.
-
Configure Node Exporter and cAdvisor to collect specific metrics.
-
Use a tool like Grafana to visualize the collected metrics.
Contribute to an Open Source AIOps Project
Show steps
Participate in an open source AIOps project, contributing to the community while gaining practical experience in developing and testing AIOps solutions.
Browse courses on
Community Involvement
Show steps
-
Identify a relevant open source AIOps project.
-
Review the project's documentation and codebase.
-
Make a contribution, such as fixing a bug or adding a feature.
Design a Prometheus Rule to Scale Nodes
Show steps
Create a Prometheus rule that integrates with the Kubernetes API Server to dynamically scale nodes based on specific metrics, solidifying your understanding of AIOps principles.
Show steps
-
Define metrics and thresholds for autoscaling.
-
Write a Prometheus rule using the Prometheus Rule Language (PromQL).
-
Test the rule by simulating different scenarios.
Build an AIOps Dashboard with Prometheus and Grafana
Show steps
Develop a comprehensive AIOps dashboard using Prometheus and Grafana to monitor and analyze metrics, providing a visual representation of your AIOps insights.
Browse courses on
Prometheus
Show steps
-
Install and configure Prometheus and Grafana.
-
Create visualizations for key metrics.
-
Set up alerts and notifications.
Review Cloud Monitoring Concepts
Show steps
Refresh your understanding of cloud monitoring concepts such as metrics, logs, and traces, providing a solid foundation for understanding AIOps principles.
Browse courses on
Cloud Monitoring
Show steps
Show steps
Show steps
- Review key concepts of cloud monitoring.
- Explore different types of monitoring tools and techniques.
Read 'Site Reliability Engineering' by Betsy Beyer
Show steps
Gain a comprehensive understanding of the principles and practices of Site Reliability Engineering (SRE), which is closely aligned with AIOps and enhances your knowledge of system reliability and availability.
View
Site Reliability Engineering: How Google Runs...
on Amazon
Show steps
Show steps
Show steps
- Read Chapter 2: 'The Four Golden Signals'.
- Read Chapter 7: 'Error Budgets'.
Review Linux Command Line Tools for AIOps
Show steps
Brush up on essential Linux command line tools like 'grep', 'awk', and 'sed' to process and analyze log files and metrics, enhancing your AIOps toolkit.
Browse courses on
Linux Command Line
Show steps
Show steps
Show steps
- Review basic Linux command line syntax.
- Practice using common commands for data manipulation.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Building Metrics with Node Exporter and cAdvisor
Show steps
Practice building and collecting metrics using Node Exporter and cAdvisor to solidify your understanding of data collection for AIOps.
Browse courses on
Node Exporter
Show steps
Show steps
Show steps
- Set up Node Exporter and cAdvisor in a Kubernetes cluster.
- Configure Node Exporter and cAdvisor to collect specific metrics.
- Use a tool like Grafana to visualize the collected metrics.
Contribute to an Open Source AIOps Project
Show steps
Participate in an open source AIOps project, contributing to the community while gaining practical experience in developing and testing AIOps solutions.
Browse courses on
Community Involvement
Show steps
Show steps
Show steps
- Identify a relevant open source AIOps project.
- Review the project's documentation and codebase.
- Make a contribution, such as fixing a bug or adding a feature.
Design a Prometheus Rule to Scale Nodes
Show steps
Create a Prometheus rule that integrates with the Kubernetes API Server to dynamically scale nodes based on specific metrics, solidifying your understanding of AIOps principles.
Show steps
Show steps
Show steps
- Define metrics and thresholds for autoscaling.
- Write a Prometheus rule using the Prometheus Rule Language (PromQL).
- Test the rule by simulating different scenarios.
Build an AIOps Dashboard with Prometheus and Grafana
Show steps
Develop a comprehensive AIOps dashboard using Prometheus and Grafana to monitor and analyze metrics, providing a visual representation of your AIOps insights.
Browse courses on
Prometheus
Show steps
Show steps
Show steps
- Install and configure Prometheus and Grafana.
- Create visualizations for key metrics.
- Set up alerts and notifications.
Career center
Learners who complete AIOps Essentials (Autoscaling Kubernetes with Prometheus Metrics) will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. To do this, Data Engineers must have a deep understanding of data engineering principles. This course may be useful for you because it will help you develop a foundation in data engineering principles. Developing a foundation in data engineering principles is a key part of the daily life of a Data Engineer.
Site Reliability Engineer
Site Reliability Engineer
A Site Reliability Engineer is responsible for improving the reliability, scalability, and maintainability of a software system. To do this, Site Reliability Engineers spend a great deal of time monitoring and troubleshooting software systems. This course may be useful for you because it will help you develop the skills you need to monitor and troubleshoot software systems. Monitoring and troubleshooting software systems is a key part of the daily life of a Site Reliability Engineer.
Cloud Engineer
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud computing systems. To do this, Cloud Engineers must have a deep understanding of cloud computing technologies. This course may be useful for you because it will help you develop a foundation in cloud computing technologies. Developing a foundation in cloud computing technologies is a key part of the daily life of a Cloud Engineer.
DevOps Engineer
DevOps Engineer
A DevOps Engineer collaborates with software developers and IT operations to ensure that software is developed and deployed efficiently. To do this, DevOps Engineers must have a deep understanding of both software development and IT operations. This course may be useful for you because it will help you develop a foundation in software development and IT operations. Developing a foundation in software development and IT operations is a key part of the daily life of a DevOps Engineer.
Software Engineer
Software Engineer
A Software Engineer designs, develops, and maintains software systems. To do this, Software Engineers must have a deep understanding of software development principles. This course may be useful for you because it will help you develop a foundation in software development principles. Developing a foundation in software development principles is a key part of the daily life of a Software Engineer.
Data Scientist
Data Scientist
A Data Scientist uses their knowledge of data science to extract insights from data. To do this, Data Scientists use a variety of tools and techniques, including machine learning and artificial intelligence. This course may be useful for you because it will help you develop a foundation in data science principles. Developing a foundation in data science principles is a key part of the daily life of a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and deploys machine learning models. To do this, Machine Learning Engineers must have a deep understanding of machine learning principles. This course may be useful for you because it will help you develop a foundation in machine learning principles. Developing a foundation in machine learning principles is a key part of the daily life of a Machine Learning Engineer.
Product Manager
Product Manager
A Product Manager is responsible for defining, developing, and launching new products or features. To do this, Product Managers must have a deep understanding of the market, the customer, and the product. This course may be useful for you because it will help you develop a foundation in product management principles. Developing a foundation in product management principles is a key part of the daily life of a Product Manager.
Project Manager
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. To do this, Project Managers must have a deep understanding of project management principles. This course may be useful for you because it will help you develop a foundation in project management principles. Developing a foundation in project management principles is a key part of the daily life of a Project Manager.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business needs and developing solutions to meet those needs. To do this, Business Analysts must have a deep understanding of business analysis principles. This course may be useful for you because it will help you develop a foundation in business analysis principles. Developing a foundation in business analysis principles is a key part of the daily life of a Business Analyst.
Systems Administrator
Systems Administrator
A Systems Administrator is responsible for installing, configuring, and maintaining computer systems. To do this, Systems Administrators must have a deep understanding of systems administration principles. This course may be useful for you because it will help you develop a foundation in systems administration principles. Developing a foundation in systems administration principles is a key part of the daily life of a Systems Administrator.
Network Administrator
Network Administrator
A Network Administrator is responsible for designing, implementing, and maintaining computer networks. To do this, Network Administrators must have a deep understanding of network administration principles. This course may be useful for you because it will help you develop a foundation in network administration principles. Developing a foundation in network administration principles is a key part of the daily life of a Network Administrator.
Database Administrator
Database Administrator
A Database Administrator is responsible for designing, implementing, and maintaining databases. To do this, Database Administrators must have a deep understanding of database administration principles. This course may be useful for you because it will help you develop a foundation in database administration principles. Developing a foundation in database administration principles is a key part of the daily life of a Database Administrator.
Security Analyst
Security Analyst
A Security Analyst is responsible for protecting organizations from cyber threats. To do this, Security Analysts must have a deep understanding of security analysis principles. This course may be useful for you because it will help you develop a foundation in security analysis principles. Developing a foundation in security analysis principles is a key part of the daily life of a Security Analyst.
Data Analyst
Data Analyst
A Data Analyst uses their knowledge of statistics, data collection, and data mining to transform data into actionable insights. In order to do this conversion, Data Analysts use a variety of tools, including dashboards and other visualizations. This course may be useful for you because it will help you to build a foundation for analyzing and visualizing data. Analyzing and visualizing data is a key part of the daily life of a Data Analyst.
For more career information including salaries, visit:
OpenCourser.com/course/ngsb4s/aiops
Reading list
We've selected seven 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
AIOps Essentials (Autoscaling Kubernetes with Prometheus Metrics).
This widely acclaimed handbook provides a foundational understanding of SRE principles and practices. While it doesn't focus specifically on AIOps, it offers valuable insights into the broader context of reliability engineering, which is essential for implementing effective AIOps solutions.
This comprehensive guide offers a holistic approach to observability engineering, covering various aspects of monitoring, logging, and tracing. It provides valuable insights for those looking to implement comprehensive observability practices within AIOps.
This practical guide serves as a comprehensive introduction to Python for data analysis, covering essential libraries like NumPy, Pandas, and Matplotlib. It provides a valuable foundation for those looking to leverage Python for data analysis and processing tasks in AIOps.
Save
This comprehensive guide is tailored for Java developers looking to build and deploy cloud-native applications using various tools and technologies. While it doesn't explicitly cover AIOps, it provides a solid foundation for understanding the cloud-native landscape, which is essential for implementing AIOps solutions.
This practical guide is designed for software engineers and developers interested in applying AI and machine learning techniques to their projects. It offers a hands-on approach to building and deploying AI models, providing valuable insights for those looking to implement AIOps solutions.
Save
This foundational book provides a comprehensive introduction to time series analysis, covering various techniques and methods for analyzing and forecasting time-dependent data. It offers valuable insights for those looking to understand the underlying concepts of time series analysis used in AIOps.
This beginner-friendly guide introduces the fundamental concepts and applications of machine learning. While it doesn't delve deeply into AIOps, it provides a solid foundation for understanding the underlying principles of machine learning used in AIOps solutions.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ngsb4s/aiops
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