Accurate capacity planning is one of the most critical facets to supporting top-notch user performance. Whether we’re discussing cloud environments, on-prem servers, storage systems, databases or beyond, it’s imperative that IT admins have a close eye on overall capacity and usage patterns.
However, achieving this level of capacity planning isn’t easy. There are several missteps that often take place with capacity planning initiatives, and failing to address or correct these elements can prevent the accuracy and visibility IT stakeholders require to enable robust performance.
Let’s take a closer look at common capacity planning mistakes, as well as how you can avoid them with your initiatives.
1) Not understanding platform specifics
First and foremost, it’s critical that those undertaking capacity planning be able to see clearly the resource usage and limitations of each platform. Elements like input, output, CPU, memory, throughput and latency levels will shift depending on platform or environment. For instance, an on-premise server will have different IOPS, CPU and memory use when compared to a storage database.
In order to properly plan for capacity, stakeholders must have a deep understanding of these platform specifics, as well as any service-level agreement limitations that might also have an impact here.
“It has been observed many times that software or systems are deployed without calculating its load and impact, which causes poor performances for end users and customers, which is [a] perfect recipe of poor customer experience,” noted technologist and ICT leader Jawad Abid.
2) Not accounting for usage patterns
Another common issue that impacts enterprise capacity planning is missing the mark when it comes to factoring in usage patterns. In addition to understanding the different resource usage nuances between infrastructure systems, stakeholders must also consider things like peak usage periods and other workload changes.
For instance, many organizations see a sharp spike in usage around the end of year and the holiday season. Depending upon the industry in which an organization operates, there may be other peak periods to factor into capacity planning initiatives. Failing to include these usage patterns will result in a lack of adequate support and poor performance, which can be particularly damaging to a business during its seasons of heightened demands.
3) Not properly defining scope and timeline
As we’ve previously discussed, there are five key steps that every IT stakeholder should follow with their capacity planning and server consolidation initiatives. However, those spearheading these projects often overlook defining the specifics for the project’s scope and timeline.
In order to approach this issue appropriately, stakeholders must have a firm outlook on the servers, systems and environments included in their capacity planning considerations, the baseline performance and resource usage of these platforms, as well as an accurate growth projection. Without defining these specifically, stakeholders end up simply shooting in the dark with their capacity plans, lacking the benefit of any real accuracy.
4) Not using a robust monitoring platform
Here is where we come to the root issue, as well as the critical solution. A lack of robust monitoring is one of the biggest missteps organizations can make with their capacity planning. To truly visualize and prepare for capacity needs, one must employ a software that looks into platform-specific resource utilization, uses historical data to enable identification of peak demand periods, as well as provides accurate analytics to support growth projections.
An industry-leading infrastructure performance monitoring solution is critical for effective capacity planning across on-prem servers, storage systems, database, SAN and cloud environments. To find out more, connect with us for a demo of our best-in-class Galileo Performance Monitoring solution today.