We may earn an affiliate commission when you visit our partners.
David Clinton

Need to know how to improve the performance and reliability of your local or cloud Linux deployments? Discover the magic of high availability cluster computing.

Read more

Need to know how to improve the performance and reliability of your local or cloud Linux deployments? Discover the magic of high availability cluster computing.

Running server operations using clusters of either physical or virtual computers is all about improving performance over and above what you could expect from a single, high-powered server. But "improving performance" can mean different things in different contexts. This course, Linux High Availability Cluster Management, will bring many aspects of performance improvement to light. You'll be introduced to the principles of Linux-based HA and cluster management and the key tools currently in use in real-world environments - including Linux Virtual Server (LVS), HAProxy, Pacemaker, DRBD, OCFS2, and GFS2. You'll learn how to intelligently spread workloads among diverse geographic and demand environments (load balancing). You'll also discover how to provide backup servers that can be quickly brought into service in the event a working node fails (failover). Finally, you'll also learn about optimizing the way your data tier is deployed, or allowing for fault tolerance through loosely coupled architectures. By the end of this course, you will be able to improve and manage many aspects of the performance of your local or cloud Linux deployments, and they'll be more reliable for it.

What's inside

Syllabus

Course Overview
Introduction
Working with Load Balanced Clusters
Working with Failover Clusters
Read more

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides experience with Linux Virtual Server (LVS), HAProxy, Pacemaker, and DRBD, essential tools for Linux-based HA and cluster management
Deepens knowledge of Linux Virtual Server (LVS), HAProxy, Pacemaker, DRBD, OCFS2, and GFS2, expanding understanding of HA and cluster management
Enhances understanding of load balancing through workload distribution across diverse geographic and demand environments
Develops skills in failover with backup servers to ensure service continuity during node failures
Examines data tier deployment optimization and fault tolerance in loosely coupled architectures

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Linux ha cluster management: practical skills

According to learners, this course provides a strong foundation and practical skills in Linux High Availability cluster management. Students particularly appreciate the hands-on labs and clear explanations from the instructor, which make complex topics like Pacemaker and DRBD understandable and applicable to real-world scenarios. While it covers a comprehensive range of tools, some learners with less prior experience found it assumes a certain level of existing Linux knowledge. Additionally, a few reviews note that certain examples or lab setups may be outdated, suggesting potential areas for course updates.
Covers many topics but lacks deep dives in certain areas.
"The course content is decent, but it felt a bit like a whirlwind tour rather than a deep dive."
"It's a decent theoretical foundation, but don't expect to become an expert practitioner just from this course."
"The course attempts to cover too much, resulting in superficial explanations for many critical topics."
"The segment on specific cloud management tools was too brief to be truly useful. I'll need to explore more advanced topics elsewhere."
Instructor effectively explains complex technical topics.
"The instructor breaks down complex topics like Pacemaker and DRBD into understandable modules."
"Everything is explained clearly, and the progression from basic concepts to advanced configurations is logical."
"The instructor's explanations are quite thorough, and the demonstrations are helpful."
"The explanation of Pacemaker was the clearest I've encountered."
Hands-on labs and real-world scenarios reinforce learning.
"The hands-on labs were invaluable, truly reinforcing the concepts. I particularly appreciated the focus on real-world scenarios."
"The practical exercises using virtual machines really cemented my understanding of load balancing with HAProxy."
"The blend of theory and hands-on practice is perfect. I learned practical skills that are directly applicable to my job."
"I felt fully equipped to tackle HA challenges after completing this, thanks to the practical demonstrations."
Some course content and labs use older software versions.
"A few minor details in the older sections could use a refresh. Overall, the material is generally up-to-date."
"I found some of the examples outdated, especially regarding specific Linux distribution versions or tool configurations."
"The reliance on specific older software versions in some labs made it tricky to follow along on a modern system."
"Some of the older content feels a bit stale. My main critique is that older lab setups could benefit from an update to current distributions."
Learners may need substantial prior Linux experience.
"It assumes a very high level of prior knowledge, which isn't explicitly stated. I felt lost quickly."
"I found myself struggling with certain labs due to insufficient preliminary setup guidance."
"Not suitable if you don't already have significant experience, as the explanations often lacked the necessary detail for beginners."
"Prerequisites were not sufficiently highlighted, leading to a frustrating experience for me without extensive background."

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 Linux High Availability Cluster Management with these activities:
Glossary of Linux HA Terminology
This pre-course compilation will help to smooth out the learning curve when the course begins.
Show steps
  • Review the course syllabus and identify key terms
  • Research and define each term in your own words
  • Organize the terms into a glossary
  • Review the glossary regularly to reinforce your understanding
Join a study group to discuss course concepts
Participating in a study group will provide you with opportunities to engage with peers, clarify concepts, and test your understanding.
Show steps
  • Find or create a study group with other students in the course
  • Meet regularly to discuss course materials
  • Work together to solve problems
  • Share resources and insights
Follow tutorials on GFS2 and clustered file systems
These tutorials will supplement your course learning by expanding your knowledge and deepening your understanding of these advanced topics.
Show steps
  • Search for online tutorials on GFS2 and clustered file systems
  • Select a few tutorials that cover topics relevant to your interests
  • Follow the tutorials step-by-step and take notes
  • Experiment with the concepts and configurations covered in the tutorials
Two other activities
Expand to see all activities and additional details
Show all five activities
Attend a workshop on Linux HA and cluster management
Workshops provide hands-on experiences that will greatly benefit your learning process in this course.
Show steps
  • Search for workshops on Linux HA and cluster management
  • Select a workshop that aligns with your interests
  • Attend the workshop and actively participate in the activities
  • Network with other attendees and experts
Mentor a fellow student who is struggling with the course material
Mentoring others will help to reinforce your own understanding of the material and provide valuable assistance to your fellow student.
Show steps
  • Identify a fellow student who is struggling
  • Offer your help and support
  • Meet regularly to review course materials
  • Provide guidance and encouragement
  • Celebrate your student's success

Career center

Learners who complete Linux High Availability Cluster Management will develop knowledge and skills that may be useful to these careers:
Site Reliability Engineer
Site Reliability Engineers are responsible for the design, implementation, and maintenance of websites and applications. They work to ensure that these systems are reliable, scalable, and performant. This course will help you build a foundation in Linux High Availability Cluster Management, which is a key skill for Site Reliability Engineers. You will learn how to configure and manage Linux HA clusters, and how to use them to improve the performance and reliability of your systems.
Cloud Engineer
Cloud Engineers design, build, and manage cloud computing systems. They work with cloud providers to provision and manage resources, and they develop and implement cloud-based applications. This course will help you build a foundation in Linux High Availability Cluster Management, which is a key skill for Cloud Engineers. You will learn how to configure and manage Linux HA clusters in the cloud, and how to use them to improve the performance and reliability of your cloud-based applications.
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. They use tools and techniques to automate and streamline the software development and deployment process. This course will help you build a foundation in Linux High Availability Cluster Management, which is a key skill for DevOps Engineers. You will learn how to configure and manage Linux HA clusters, and how to use them to improve the performance and reliability of your software deployments.
Systems Administrator
Systems Administrators are responsible for the day-to-day operation and maintenance of computer systems. They work to ensure that these systems are running smoothly and efficiently. This course will help you build a foundation in Linux High Availability Cluster Management, which is a key skill for Systems Administrators. You will learn how to configure and manage Linux HA clusters, and how to use them to improve the performance and reliability of your systems.
Network Engineer
Network Engineers design, build, and manage computer networks. They work to ensure that these networks are reliable, scalable, and secure. This course will help you build a foundation in Linux High Availability Cluster Management, which is a key skill for Network Engineers. You will learn how to configure and manage Linux HA clusters, and how to use them to improve the performance and reliability of your networks.
Database Administrator
Database Administrators are responsible for the design, implementation, and maintenance of databases. They work to ensure that these databases are reliable, scalable, and performant. This course will help you build a foundation in Linux High Availability Cluster Management, which is a key skill for Database Administrators. You will learn how to configure and manage Linux HA clusters, and how to use them to improve the performance and reliability of your databases.
Security Engineer
Security Engineers design, implement, and manage security systems. They work to protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. This course will help you build a foundation in Linux High Availability Cluster Management, which is a key skill for Security Engineers. You will learn how to configure and manage Linux HA clusters, and how to use them to improve the security of your systems and networks.
Storage Engineer
Storage Engineers design, implement, and manage storage systems. They work to ensure that these systems are reliable, scalable, and performant. This course will help you build a foundation in Linux High Availability Cluster Management, which is a key skill for Storage Engineers. You will learn how to configure and manage Linux HA clusters, and how to use them to improve the performance and reliability of your storage systems.
Software Architect
Software Architects design and develop software systems. They work to ensure that these systems are reliable, scalable, and maintainable. This course will help you build a foundation in Linux High Availability Cluster Management, which is a key skill for Software Architects. You will learn how to configure and manage Linux HA clusters, and how to use them to improve the performance and reliability of your software systems.
Data Analyst
Data Analysts collect, analyze, and interpret data. They work to identify trends and patterns, and to develop insights that can be used to improve decision-making. This course may be useful for Data Analysts who want to learn how to use Linux High Availability Cluster Management to improve the performance and reliability of their data processing systems.
Data Scientist
Data Scientists use data to solve business problems. They work to develop models and algorithms that can be used to predict outcomes and make decisions. This course may be useful for Data Scientists who want to learn how to use Linux High Availability Cluster Management to improve the performance and reliability of their data science platforms.
Machine Learning Engineer
Machine Learning Engineers build and deploy machine learning models. They work to ensure that these models are accurate, reliable, and scalable. This course may be useful for Machine Learning Engineers who want to learn how to use Linux High Availability Cluster Management to improve the performance and reliability of their machine learning systems.
Software Developer
Software Developers design, develop, and test software applications. They work to ensure that these applications are reliable, bug-free, and meet the needs of their users. This course may be useful for Software Developers who want to learn how to use Linux High Availability Cluster Management to improve the performance and reliability of their software applications.
Computer Programmer
Computer Programmers write and maintain computer programs. They work to develop new programs and fix existing ones. This course may be useful for Computer Programmers who want to learn how to use Linux High Availability Cluster Management to improve the performance and reliability of their programs.
Web Developer
Web Developers design and develop websites and web applications. They work to ensure that these websites and applications are reliable, performant, and user-friendly. This course may be useful for Web Developers who want to learn how to use Linux High Availability Cluster Management to improve the performance and reliability of their websites and web applications.

Reading list

We've selected eight 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 Linux High Availability Cluster Management.
Provides a detailed overview of the Linux kernel, including its architecture, internals, and programming interfaces. It valuable resource for anyone who wants to understand how Linux works.
Provides a detailed overview of the Linux networking stack, including its architecture, protocols, and drivers. It valuable resource for anyone who wants to understand how Linux networking works.
Provides a comprehensive guide to Elasticsearch, a popular open source search and analytics engine. It covers the architecture, configuration, and administration of Elasticsearch in detail.
Provides a comprehensive guide to MongoDB, a popular open source document-oriented database. It covers the architecture, configuration, and administration of MongoDB in detail.
Provides a comprehensive guide to Pacemaker, a popular open source cluster management tool. It covers the configuration, administration, and troubleshooting of Pacemaker in detail.
Provides a practical guide to designing and implementing scalable web applications. It covers the different patterns and techniques that can be used to achieve scalability, and how to use them effectively.
Provides a comprehensive guide to DRBD, a popular open source distributed block device replication tool. It covers the configuration, administration, and troubleshooting of DRBD in detail.
Provides a detailed overview of MySQL performance tuning, including how to identify and resolve performance bottlenecks. It valuable resource for anyone who wants to improve the performance of their MySQL databases.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Similar courses are unavailable at this time. Please try again later.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser