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We're here to help you find itDeploy reliable, available critical production services in a high availability cluster
In the Red Hat High Availability Clustering with exam (RH437) course, you will learn how to provide highly available network services to a mission-critical enterprise environment through the deployment and management of shared storage and server clusters. Created for senior Linux system administrators, this 4-day course strongly emphasizes lab-based activities. You will set up a cluster of systems running the Pacemaker component of the Red Hat Enterprise Linux High-Availability Add-On, and deploy Linux-based services such as web servers and databases on that cluster. Cluster storage components from the Resilient Storage Add-On are also covered; installations and applications that require multiple cluster nodes can access the same storage simultaneously. This includes Logical Volume Manager (LVM) Shared Volume Groups, Red Hat Global File System 2 (GFS2), and Device-Mapper Multipath.
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Free Pre-requisite TrainingJoin a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.
Assessments (Qubits)Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.
Post Training ReportsReceive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.
Class RecordingsGet access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.
Free Lab ExtensionsExtend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.
Free Revision Classes Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
To successfully undertake the RH437 Red Hat High Availability Clustering course, candidates should possess the following minimum knowledge and experience:
Foundational Linux Skills: A good understanding of Linux operating systems is essential. Candidates should have hands-on experience with command-line tools and basic system administration tasks.
Red Hat Certified System Administrator (RHCSA): Completion of the RHCSA (EX200) exam is required, along with associated training courses that cover essential administrative skills on Red Hat Enterprise Linux.
Red Hat Certified Engineer (RHCE): Completion of the RHCE (EX294) exam and related courses is necessary to ensure proficiency in advanced system administration tasks and network services.
Free Assessment: We encourage all potential learners to take our free assessment, which can help you gauge your current skills and determine if this offering is the right fit for you.
These prerequisites are designed to ensure that all participants have a solid foundation to build upon, allowing them to effectively engage in the lab-based training that is central to the course.
The RH437 Red Hat High Availability Clustering course equips Linux system administrators with skills to deploy and manage reliable, high-availability clusters for critical enterprise services.
Target Audience:
Introduction:
The RH437 Red Hat High Availability Clustering course equips senior Linux system administrators with the skills to deploy and manage high availability clusters, ensuring critical services remain reliable and accessible in enterprise environments.
Learning Objectives and Outcomes:
