Effective capacity management can offer immediate savings for organizations. For some, it can reduce their hardware and software budget by 20-30%.
Due to organizations needing to reduce expenses, IT infrastructure management is increasing to help companies cut costs. Here, we’re showing you how you can implement capacity management to help keep IT costs to a minimum. Use these steps to achieve better capacity management.
#1 Define Your Scope
Your capacity management project is defined by the resources you want to manage. Each set is designated in “pools”.
For example, managing disk space is one capacity pool. Each category must be listed in a separate capacity pool. Make sure you don’t extend your scope beyond capacity pools that don’t offer value for your organization. You must understand your organization well enough to manage only the things that return real value.
#2 Gather Trend Data
Now that you know what to manage, it’s time to understand how to manage it. You may have a tool already for gathering capacity statistics whichcan forward them to a central database. If not, collect technical level details for each capacity pool. The key is getting data from each pool and ensuring it flows to one centralized location.
Once you have the data, observe the trends. Document trends over time for each pool to understand whether utilization is growing or shrinking.
#3 Make Your Predictions
Once you see trends, you’re on your way to solid IT infrastructure management. The next step is using the trend data to make your predictions. You may notice your server utilization is growing at 4% per month which allows you to predict the server will be out of capacity in eight months.
Take your predictions beyond simple mathematics to combine other knowledge such as knowing a new program will increase percentages even higher in coming months. The more you can predict future utilization, the more valuable your capacity management program will be.
#4 Scale Up and Out
The next challenge is deciding how much memory to add and determining when the memory will run out again. This is referred to as scaling up and scaling out.
Scaling up is adding more resources within an environment such as bandwidth to a network link or memory to a server. Scaling out is duplicating portions of the environment to add more resources such as adding another network link or server. These methodsincrease capacity and each resourcecan impact how you make future capacity utilization predictions.
#5 Organize & Share Data
By now you have lots of data about your capacity pools. To organize it all, a Capacity Management Information System (CMIS) should become your source for capacity readings, trends, and predictions. Establishing a CMIS allows others in the company to make better business decisions by using the data.
#6 Make Capacity Plans
A capacity plan offers an analysis of your data and recommendations for what to do with it. These plans are built for important applications, IT services, and IT infrastructure management. The goal is to avoid running out of capacity without buying and deploying more capacity than needed.A capacity plan includes data trends, predictions, and recommendations for what to do.
#7 Develop Service Capacity Management
To this point, you’ve managed component capacity at the lowest level. As you successfully manage components, you may start managing IT services involving complex sets of components with business value. An IT service may include a set of servers and applications that support product design. Tracking trends and measuring utilization is easier at the component level and much more complex with IT service. While important, the lack of quality tools in this area has lead business to decide service capacity management is too expensive to implement.
Start with the basics and work your way up to achieve full capacity management. Take a systematic approach to realize the potential and cost savings it can offer your company.
Need help? At Datera, we help companies achieve better IT infrastructure management. Contact us today to learn more.