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Overview of performance and capacity planning in Project Server 2013

Project Server 2013
 

Applies to: Project Server 2013

Topic Last Modified: 2013-12-18

Summary:  Performance and capacity planning concepts are a vital part of planning a Project Server deployment.

This document and related content contain information and recommendations for how to determine the hardware requirements for a Project Server 2013 farm.

This article identifies the characteristics that affect your capacity requirements, and it provides recommendations for the following:

  • Number of server computers in the server farm

  • Configuration of application server roles in the server farm

  • Hardware requirements for specific server roles in the server farm

This chapter assumes that you have already planned for availability requirements by using the Plan for Project Server 2013 deployment articles. As a result of using those articles, you will start the capacity planning exercise with a topology that meets your organization's minimum availability requirements. Given the topology you have selected, this chapter helps you determine the following:

  • Whether you have to add more servers to meet your goals for capacity and performance

  • Whether you have to adjust the configuration of application server roles to optimize capacity and performance of the server farm

  • Whether you have to plan for more than one server farm based on your capacity requirements

In some cases, an organization's requirements for availability can result in a server farm size that provides much larger capacity or performance than is otherwise required. If this is the case, capacity planning can focus on sizing the server hardware economically, instead of adding additional server computers or scaling up with higher-performing hardware.

In many cases, the topology that meets an organization's minimum availability requirements is used as a starting point and server computers are added or scaled up to meet capacity and performance goals.

There are many variables that affect capacity planning. For this reason, it can be difficult to receive a crisp answer to a straightforward question. Consequently, the most common answer to a capacity-related question is, "It depends … ."

The capacity planning exercise provided in this documentation set is designed to reduce the number of variables in consideration so that straightforward answers can be provided based on common scenarios. However, this chapter also includes the guidance for calculating your capacity and performance requirements based on your individual solution characteristics. This chapter includes two kinds of capacity planning guidance:

  • Recommendations for estimating capacity requirements   A series of articles is provided, based on targeted scenarios. Each article defines a typical usage profile and identifies the key characteristics that will affect capacity and performance for the scenario. Based on the profile and key characteristics, predefined data lets you estimate capacity requirements for your solution.

  • Formulas and guidance for calculating specific capacity requirements   Using this guidance, you can develop your own usage profile (or modify one of the scenario profiles) and calculate all of the variables that affect the capacity and performance of your solution.

Capacity planning focuses on three aspects of sizing your solution:

  • Capacity boundaries of the software   Each of the features that can be implemented and the objects that can be created have scale limitations. Planning for capacity boundaries ensures that your solution design fits within the scale recommendations of the software.

  • Throughput targets   Each kind of action that is performed by a server farm introduces a performance load on the server hardware. Primary actions include user operations, indexing of content, and operations tasks (such as backing up the databases). The use of specific features, such as Excel Calculation Services, although necessary for cube building, also adds a performance load. Developing throughput targets involves estimating or calculating the number of operations per second that a server farm must process in order to support the expected throughput load.

  • Data capacity   Data capacity includes the expected volume of content databases and the configuration database. Each server role also has unique data requirements based on the solution, such as disk space for content indexes or for cached content.

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