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Sizing

Sizing Hardware Sizing Decision Tree Performance
Sizing Hardware Sizing Decision Tree Performance

Sizing

Sizing means determining hardware requirements such as memory, CPU power, disk space, I/O capacity, and network bandwidth. It is an iterative process to translate business requirements into hardware requirements, and is usually performed early in the project.

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Sizing
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Sizing

Helping our Customers Determine Their Hardware Requirements

Sizing means determining hardware requirements such as memory, CPU power, disk space, I/O capacity, and network bandwidth. It is an iterative process to translate business requirements into hardware requirements, and is usually performed early in the project.

What is Sizing? Choose your Sizing Type Sizing Guidelines Quick Sizer Decision Tree

The size of the hardware and database is influenced by both business aspects and technological aspects. This means that the number of users using the various application components and the data load they put on the network must be taken into account.

With the help of SAP Standard Application Benchmark results at www.sap.com/benchmark, statements can be made as to CPU consumption and memory consumption of particular software components.

For sizing we have identified three different and independent sizing models that have different advantages and disadvantages. The first two, user-based sizing and throughput-based sizing, have been implemented in the Quick Sizer.

User-based sizing
We defined three types of active users who work with the system to a different degree. Merely counting the users can be done quite easily. The disadvantage is that this estimation is quite rough as it says very little about the actual throughput these users produce.

Throughput-based sizing
This model is quite thorough because it relies on actual or on actually expected throughput. However, this model relies on a number of assumptions in business terms (e.g. number of order line items per year) that need to be cross-checked against the individual installation.

Customer Performance Test
The according tests are done in a customer system with customer data. The disadvantage is that conducting these tests requires considerable time and money. For further information please refer to the white paper Carrying Out Customer Performance Tests.

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Greenfield sizing

If you are building an SAP system from scratch, use the Quick Sizer tool or apply the relevant sizing guidelines for your SAP product.

A chart symbolizing statistical significance

Brownfield sizing

If you have an SAP system running that you want to extend with new functionality and/or add new users or migrate to SAP HANA perform brownfield sizing.

Man at desk, side view

Expert sizing

If you are working in a large company with complex business structures, and/or custom coding, perform expert sizing.

Database & Technology

SAP S/4HANA

Analytics

Industries

SAP Business Suite Applications

Mobile

Others

Quick Sizer is a web-based tool designed to make the sizing of SAP Applications easier and faster. It has been developed by SAP in close cooperation with all platform partners and is free of cost.

With Quick Sizer you can translate business requirements into technical requirements. Simply fill in the online questionnaire, an up-to-date survey that is based on business-oriented figures. The results you obtain can help you select an economically balanced system that matches your company's business goals. This is especially useful for initial budget planning.

You can find in the sizing decision tree more information about the right usage of the different sizing methods and tools. If you want to conduct a HANA sizing and you are not sure which tool to use or which SAP note to apply, it’s highly recommended to have a look at this document.

New sizing trainings for customers and partners

ADM115

You can attend this two-days beginner classroom training to learn more about the basic principles and methods for sizing. Focus is the handling of the Quick Sizer.

Coming soon!

ADM114

You can attend this one day virtual classroom training to learn more about the different sizing methodologies and tools from SAP. The training discusses how to conduct a sizing for SAP S/4HANA. 

Coming soon!

Introductory Resources

Sizing Types

Greenfield Sizing

The term “greenfield sizing” is mostly used in the context of new implementations without or with only little experience with SAP software. It refers to the process of finding out what the main load drivers are and attaching some sizing value to them. Very often, this is done in the early phases of a project where actual business processes and required data volumes are not available in detail. So greenfield has two meanings: new to SAP and/or early in the project. In greenfield sizing, standard tools, such as Quick Sizer and sizing guidelines are used.

Quick Sizer calculates memory, CPU, disk, and I/O resources based on throughput and number of concurrently active users. Watch this video for an introduction to Quick Sizer.

Complete the following steps:

  1. . Access the Quick Sizer tool

Use the SAP HANA version if you want to size an SAP HANA database, or the classic version if you want to size a non-SAP HANA database.

  1. . Create a sizing project

Input your customer scenario data into Quick Sizer and it will display the results.

  1. . Check for sample configurations

Find the appropriate hardware configuration(s) on SAP Standard Application Benchmarks or on the Certified and Supported SAP HANA Hardware Directory

  1. . Provide the project name to your hardware vendor, who will then propose an appropriate hardware configuration.
  2. . If you are unable to find the right sizing for your SAP product in the Quick Sizer tool, consult the sizing guidelines.
Brownfield Sizing

There are different approaches for brownfield sizing, depending on the stage of a solution’s lifecycle. The term brownfield sizing has different meanings. It can be an upgrade-, delta-, re- or migration sizing.

To conduct an upgrade-, delta-, re-sizing you typically measure your current resource consumption (i.e., CPU utilization, table growth, and memory usage) to predict future resource requirements. After analyzing your system, you then add the extra load caused by additional users or new applications. 

Sizing after go-live

Reference this overview about productive sizing, including resizing, delta sizing, and upgrade sizing. 

Migration Sizing from a SAP NetWeaver Source System

There are different approaches available, if you want to migrate an existing SAP NetWeaver system from a traditional database to SAP HANA. 

The SAP S/4 HANA sizing report (SAP note 18721170) should be used to estimate the hardware requirement if you plan to migrate your SAP NetWeaver-based ECC system to SAP HANA.

If you want to estimate the hardware requirements of an SAP Business Warehouse system after migration to SAP HANA, you should run the BW sizing report (SAP Note 2296290).

Expert Sizing

Typically, in an expert sizing, more profound analyses on the results of a tool-based sizing (Quick Sizer, Sizing Reports, etc.) are performed. There are no standard tools available to conduct expert sizing, but there is a large range of possibilities for such additional analyses. 

Very often, direct communication with a sizing expert is already enough to clarify open questions, usually through a support ticket. In such a case, customer specific conditions that have an impact on sizing but cannot be captured in automated tools can be considered as part of the sizing procedure, and sizing results can be adapted immediately to reflect these conditions.

In case of very complex sizing tasks (e.g. when multiple products / components are involved in a sizing exercise) a detailed exploration of  some core business processes may be required, both on functional and technical level. 

Such a detailed exploration could include the following steps:

  1. . Identify the most important queries/apps/scenarios
  2. . Identify, how they will be used, e.g. filter criteria, authorizations
  3. . Run these queries/apps/scenarios on representative test data (quality of test data and quantity of test data). Ideally, on a recent copy of the production data. 
  4. . Measure resource consumption (CPU/memory) and response times
  5. . Perform a forecast calculation based on the expected usage of the queries/apps/scenarios

Please refer to this presentation to get more information what expert sizing can include.

At SAP, expert sizing is typically covered by Consulting and / or Support.

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