MongoDB is an extremely versatile NoSQL database that offers performance, scalability, and reliability of data. It has slowly become one of the leading NoSQL database systems used for storing extremely large datasets. In addition to this, the fact that it is open source makes it the perfect candidate for any project. From prototyping a minimal viable product to storing millions of complex documents, MongoDB is clearly emerging as the go-to database system.
This book aims to help the reader in operating and managing MongoDB systems. The contents of this book are divided into sections covering all the core aspects of administering MongoDB systems. The primary goal of this book is not to duplicate the MongoDB documentation, but to gently nudge the reader towards topics that are often overlooked when designing MongoDB systems.
Chapter 1, Installation and Configuration, covers the basic details of how to install MongoDB, either from the bundled binaries or through the operating system's package managers. It also covers configuration details, as well as how to install MongoDB in a Docker container.
Chapter 2, Understanding and Managing Indexes, gives a quick overview of the benefits of indexes, their various types, and how to optimize database responses by choosing the correct indexes.
Chapter 3, Performance Tuning, covers various topics that can help optimize the infrastructure to deliver optimal database performance. We discuss disk I/O optimization, measuring slow queries, storage considerations in AWS, and managing working sets.
Chapter 4, High Availability with Replication, shows how to achieve high availability using MongoDB replica sets. Topics such as the configuration of replica sets, managing node subscriptions, arbiters, and so on are covered.
Chapter 5, High Scalability with Sharding, covers MongoDB's high scalability aspects using shards. The topics covered in this section include setting up a sharded cluster, managing chunks, managing non-sharded data, adding and removing nodes from the cluster, and creating a geographically distributed sharded cluster.
Chapter 6, Managing MongoDB Backups, helps the reader understand how to select an optimum backup strategy for their MongoDB setup. It covers how to take backups of standalone systems, replica sets, analyzing backup files, and so on.
Chapter 7, Restoring MongoDB from Backups, shows various techniques for restoring systems from previously generated backups. Topics covered include restoring standalone systems, specific databases, the backup of one database to another database, replica sets, and sharded clusters.
Chapter 8, Monitoring MongoDB, illustrates various aspects of monitoring the health of a MongoDB setup. This chapter includes recipes for using mongostat, monitoring replica set nodes, monitoring long-running operations, checking disk I/O, fetching database metrics, and storing them in a time-series database such as Graphite.
Chapter 9, Authentication and Security in MongoDB, looks into various aspects involved in securing a MongoDB infrastructure. Topics covered in this chapter include creating and managing users, implementing role-based access models, implementing SSL/TLS-based transport mechanisms, and so on.
Chapter 10, Deploying MongoDB in Production, provides insights into deploying MongoDB in a production environment, upgrading servers to newer versions, using configuration management tools to deploy MongoDB, and using Docker Swarm to set up MongoDB in containers.
For the most part, this book requires only MongoDB 3.4 or higher. Although most of the operating system commands used throughout the book are for Linux, the semantics is generic and can be replayed on any operating system. It may be useful to have some knowledge of how MongoDB works, but for the most part, all chapters are verbose enough for beginners as well.
This book is for database administrators or site reliability engineers who are keen on ensuring the stability and scalability of their MongoDB systems. Database administrators who have a basic understanding of the features of MongoDB and want to professionally configure, deploy, and administer a MongoDB database will find this book essential. If you are a MongoDB developer and want to get into MongoDB administration, this book will also help you.
In this book, you will find several headings that appear frequently (Getting ready, How to do it…, How it works…, There's more…, and See also). To give clear instructions on how to complete a recipe, we use these sections as follows.
This section tells you what to expect in the recipe, and describes how to set up any software or any preliminary settings required for the recipe.
This section usually consists of a detailed explanation of what happened in the previous section.
This section consists of additional information about the recipe in order to make the reader more knowledgeable about the recipe.
In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning. Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "You can view the available command line parameters by using --help or -h."
Any command-line input or output is written as follows:
ln -s data/mongodb-linux-x86_64-ubuntu1404-3.4.4/ data/mongodbNew terms and important words are shown in bold.
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