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Strategies for Optimizing IT Capacity Planning

IT Capacity Planning, Multimatics

The increasing customers’ demands require business to quickly adapt and innovate to stay competitive and relevant in today’s business market. Maximizing the customer experience needs careful planning and sophisticated organizational techniques, regardless of types of sectors the organization is focusing. IT Capacity Planning can become the solution to resolve business’ resources and processes to evolve efficiently to meet the customers’ demands.

To provide better support for your organization’s need in creating a comprehensive IT Service Management that align with your business strategy and customer demand, Multimatics offers IT Service Management training and consultancy services which include ITIL® certification and training program, ISO 20000 consultancy project, ITSM improvement consultancy, and more.

IT Capacity Planning is the process of ensuring that your IT resources match the present and future needs of your company. In order to increase productivity, lower expenses, and prevent downtime, it entails monitoring the demand, supply, and performance of your IT infrastructure and making strategic decisions.

The goal of capacity management is to meet business demands by ensuring that infrastructure is the proper size to achieve both present and future objectives. It is frequently linked to the ITIL® framework, which provides a widely accepted method of capacity management.

Given that capacity management involves a solid network of revolving processes, any digital organization that work independently should be familiar with these 4 IT Capacity Planning best practices as follows

  1. Continuous Planning

    Digital enterprise may prioritize tasks appropriately and work more effectively with the visibility acquired through ongoing planning. This gives companies a competitive advantage and improves the user experience.

  2. Workload Scenario

    IT specialists should become accustomed to running several what-if scenarios during the capacity management process. When preparing, it's crucial to modify these inquiries to fit the particular requirements and characteristics of your company.

  3. Workload Analytics

    It's crucial to consider how your current workloads operate and how efficient they are right now and at peak periods in addition to creating scenarios for future workloads. When determining your demands fo, you can use the same mechanics to analyze growth.

  4. Reporting, Insights, and Accuracy

    The fact that ITIL® also describes data lifecycle processes that may guarantee digital firms are using the right data to program their infrastructure is one reason capacity management and ITIL® go hand in hand.

5 Differences between IT Capacity Planning and Performance Engineering

Managers of mainframe-based data centers are continuously improved with the topics of performance engineering and capacity planning. An information technology manager must, in essence, determine how many computer resources a business requires, when those resources are required, and why the "how much" assumption is subject to constant change.

Types of services that IT services offers is determined by the clients and kinds of service that a specific setup can offer is determined by the user performance targets provided by the IT organization. Therefore, can it be said that IT capacity planning and performance engineering are similar?

The following details are 5 key differences between IT Capacity Planning and Performance Engineering!

  1. Design, Build and Test

    Performance engineering is typically done throughout the design, construction, and testing phases in the development of new systems and applications. Capacity planning is often done following the launch of new systems and applications.

  2. Non-Functional Testing

    Non-functional testing, such as performance or load testing, is a component of performance engineering. New systems and applications' performance testing is not the responsibility of capacity planning. The capacity planning is used to manage the new systems and applications once they’re deployed in live environment.

  3. Performance Strategy

    The direction of the performance testing strategy is determined by performance engineering. The planning and execution of the performance tests fall under the purview of performance engineering. The preparation of performance testing, in contrast, is not the duty of capacity planning.

  4. Iterative Performance Analysis

    To identify whether or not business SLAs can be reached, performance engineering is in charge of analyzing the performance characteristics of early development iterations of systems and applications. The performance of the early versions of systems and applications is not typically evaluated by the capacity planning function.

  5. Ongoing Capacity Planning

    Regular and continuing operations and deliverables, such as service monitoring and capacity plan creation, are part of the capacity planning role. Even if the system or application does not alter over time, they are nevertheless performed. Performance engineering is only used when new systems or applications are developed or when current ones undergo adjustments.

With the help of these best practices, a solid base for IT Capacity Planning and Management may be built. Gaining a solid understanding of current and future demands would be challenging without these fundamental procedures in place.

Multimatics offers IT Service Management training and consultancy services including ITIL® certification and training program, ISO 20000 consultancy project, ITSM improvement consultancy, and more to better support your organization's need in implementing your IT capacity planning efficiently to align with your business strategy and customer demand.


Féliz-Sánchez, A., & Calvo-Manzano, J. A. (2015). Comparison of models and standards for implementing IT service capacity management. Revista Facultad de Ingeniería Universidad de Antioquia, (74), 86-95.

He, Tian.; Jiang, HongXu. (2011). Capacity Planning Strategies for an IT service firm with skilled workforce. Int. J. Advanced Mechatronic Systems, Vo. 3, Nos.5/6.

Sabharwal, Navin.; Wa. Prashant. (2013). Cloud Capacity Management.

Wu, David. S.; Karabu, Suleyman.; Erkoc, Murat. (2005). Managing Capacity in the High-Tech Industry: A Review of Literature. The Engineering Economist.

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