Manage Couchbase Servers and Clusters

Cluster and node management is a crucial topic for a Couchbase administrator. This course delves into handling node failures, data transfers, cluster backups, and the setting up of remote replicas to ensure the availability of your data.
Course info
Level
Beginner
Updated
Jun 30, 2020
Duration
3h
Table of contents
Description
Course info
Level
Beginner
Updated
Jun 30, 2020
Duration
3h
Description

Managing a Couchbase cluster requires a wide array of factors to be considered, ranging from testing its performance to recovering from node failures or data loss. In this course, Manage Couchbase Servers and Clusters, you'll learn a number of options available with regards to cluster management from a theoretical and also a hands-on perspective. First, you'll discover how to set up a multi-node Couchbase cluster and test its performance while subjected to a load using cbworkloadgen. You'll also cover the encryption of traffic between cluster nodes. Next, you'll explore the variety of ways in which node failures can be handled in a cluster by performing failovers in order to recover data from their replicas. This includes hard failovers where nodes fail unexpectedly and graceful failovers where node removal is planned. Then, you'll move to backing up the contents of a cluster including the use of cbtransfer to migrate data between clusters and performing a more structured backup using cbbackupmgr. This includes restoring a cluster to a prior state using one of the available backups. Finally, you'll learn the setting up of cross data center replication, or XDCR, and how the cbrecovery utility can be used to recover from the failure of multiple nodes. When you're done with this course, you'll have a better understanding in managing different forms of replication, generating backups of your cluster, and significantly - you will have the knowledge and skills to recover from failures or data loss on your Couchbase cluster.

About the author
About the author

An engineer at heart, I am drawn to any interesting technical topic. Big Data, ML and Cloud are presently my topics of interest.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi, and welcome to this course, Manage Couchbase Servers and Clusters. My name is Kishan Iyer, and I will be your instructor for this course. A little about myself first, I have a master's degree in computer science from Columbia University and have previously worked in companies such as Deutsche Bank and WebMD in New York. I presently work for Loonycorn, a studio for high quality video content. Managing a Couchbase cluster requires a wide array of factors to be considered, ranging from testing its performance to recovering from node failures or data loss. This course covers a number of options available with regards to cluster management from both a theoretical and a hands‑on perspective. We begin by setting up a multi‑node Couchbase cluster and testing its performance while subjected to a load using cbworkloadgen. We also cover the encryption of traffic between cluster nodes. Next, we cover the variety of ways in which node failures can be handled in a cluster while performing failovers in order to recover data from their replicas. This includes hard failovers where nodes fail unexpectedly and graceful failovers where node removal is planned. We move then to backing up the contents of a cluster, including the use of cbtransfer, in order to migrate data between clusters and performing a more structured backup using cbbackupmgr. We will also cover restoring a cluster to a prior state using one of the available backups. Finally, we cover the setting up of Cross Data Center Replication, or XDCR, and how the cbrecovery utility can be used to recover from the failure of multiple nodes. When you complete this course, you will be quite the expert in managing different forms of replication, generating backups of your cluster, and, significantly, you will have the knowledge and the skills to recover from failures or data loss on your Couchbase cluster.