Chapter 1. Hardware Planning

In this chapter, we will learn about selection and provisioning of hardware necessary to build a highly available PostgreSQL database. We will cover the following recipes in this chapter:

  • Planning for redundancy
  • Having enough IOPS
  • Sizing storage
  • Investing in a RAID
  • Picking a processor
  • Making the most of memory
  • Exploring nimble networking
  • Managing motherboards
  • Selecting a chassis
  • Saddling up to a SAN
  • Tallying up
  • Protecting your eggs

Introduction

What does high availability mean? In the context of what we're trying to build, it means we want our database to start and remain online for as long as possible. A critical component of this is the hardware that hosts the database itself. No matter how perfect a machine and its parts may be, failure or unexpected behavior along any element can result in an outage.

So how do we avoid these unwanted outages? Expect them. We must start by assuming hardware can and will fail, and at the worst possible moment. If we start with that in mind, it becomes much easier to make decisions regarding the composition of each server we are building.

Make no mistake! Much of this planning will rely on worksheets, caveats, and compromise. Some of our choices will have several expensive options, and we will have to weigh the benefits offered against our total cost outlay. We want to build something stable, which is not always easy. Depending on the size of our company, our purchasing power, and available hosting choices, we may be in for a rather complicated path to that goal.

This chapter will attempt to paint a complete picture of a highly available environment in such a way that you can pick and choose the best solution without making too many detrimental compromises. Of course, we'll offer advice to what we believe is the best overall solution, but you don't always have to take our word for it.

Note

For the purposes of this chapter, we will not cover cloud computing or other elastic allocation options. Many of the concepts we introduce can be adapted to those solutions, yet many are implementation-specific. If you want to use a cloud vendor such as Amazon or Rackspace, you will need to obtain manuals and appropriate materials for applying what you learn here.

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