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5 New Rules of Network Capacity Planning

The wireless landscape has changed dramatically in a very short period of time. Not only is there greater capacity demand, but wireless networks themselves have become infinitely more complex because of growing interconnectedness, new technology innovations, and shifting patterns of user activity. All of these factors mean that capacity planning models also have to change. There are more variables to monitor and more scenarios to consider. At the same time, the consequences of not being able to accurately predict bandwidth demand loom larger than ever.

Capacity planning has to be a strategic priority, and capacity planning models have to reflect the new realities of network evolution in 2014. The following are five new rules of capacity planning:

1. Know your Backhaul

The cellular backhaul market is one of the fastest growing segments in the mobile industry, thanks to rapid growth in demand, and specifically the need for more capacity to support the transport of local wireless data traffic back to the Internet. Where a bundle of T1 lines to a cell site might have sufficed five years ago, today it's not uncommon to need multiple 10 Gig pipes connected to a single location.

Growth has led to more competition among backhaul providers, but unfortunately, it hasn't necessarily made arranging for new backhaul agreements faster or easier. Providers often sell capacity before they have a chance to build it out, which means it can take months to light up a new link even after a deal is closed.

Wireless carriers need to do significant advance planning in order to prepare for maximum capacity events before they happen. By monitoring traffic and creating threshold alerts at every link, network operators can determine where upgrades are needed and when those upgrades must occur. Carriers should also ensure that the backhaul providers they choose can meet necessary service level agreements. Detailed traffic reports at every backhaul site offer assurance that capacity demands are not only being met in the moment, but that there is room for growth in the future.

2. Be Nimble in Performance Monitoring

Telecom environments are a heterogeneous mix of hardware and software systems. Unfortunately, that diverse technology landscape makes it difficult to maintain end-to-end performance visibility and to understand network utilization at a granular level. With increases in new technologies, network operators need new ways to monitor activity in order to plan capacity upgrades effectively.

Performance monitoring systems should be agnostic in data collection. In addition to relying on standard, out-of-the-box measurement capabilities, carriers need to be able to adapt quickly as new hardware and software gets added to the telecom infrastructure. This means not just being able to monitor standard Cisco or Juniper routers, but also being able to incorporate measurement data from any third-party source, including network probes, proprietary business applications, element management systems, and more. Accurate and timely data reports are critical in capacity planning, and that means carriers have to be able to adapt quickly to avoid performance visibility gaps.

3. Increase your Polling Frequency

Many network monitoring systems still rely on five-minute polling intervals to track bandwidth utilization. However, that cycle length can be highly misleading when it comes to analyzing micro bursts of traffic. A one-second spike in activity, for example, gets flattened out over a five-minute interval, making it difficult to get an accurate picture of bandwidth usage or to diagnose potential latency issues.

By increasing polling frequency, carriers can better see traffic spikes that would otherwise fly under the network management radar. These activity bursts can have a major impact on the customer experience, and need to be factored into capacity planning models. The greater the polling frequency, the more accurate the model.

4. Automate with Algorithms

In order to understand where traffic patterns are headed, a network operator first needs to understand the usage patterns of the past. From a modeling perspective, carriers need to set trending baselines that illustrate normal traffic behavior over many months. Once those baselines are established, it's relatively easy to recognize when activity strays outside the norm. For example, there may be a short-term uptick in bandwidth usage every Fall when college students go back to school, but viewed in the context of an entire year's worth of data, that information doesn't necessarily mean that a carrier needs to increase capacity more quickly than planned.

Capturing traffic data over a long period of time makes it easier to project bandwidth usage in the future. In addition to analyzing individual usage spikes, carriers can use historical data to generate algorithms for more sophisticated projection models. Once created, these algorithms help to automate the process of capacity management, showing network operators where growth is likely to take place well in advance of network overload.

5. Remember, Volume Isn't Everything

Knowing the amount of traffic on a network is important for capacity planning purposes, but so is knowing the composition of that traffic. Understanding the type of activity taking place can make a big difference in investment plans and even monetization strategy. For example, knowing how much customers are utilizing 4G broadband versus 3G can help operators determine how to allocate capacity across different services. Knowing how much bandwidth is being used by a single application can help a carrier analyze whether a different pricing structure would deliver better financial returns.

Capacity planning is a numbers game, but the best projection models take into account the value of different types of traffic. Volume isn't the only important variable.

Bandwidth is a critical resource, and creating an effective capacity planning strategy is well worth the investment. As networks grow more complex, utilization models have to advance as well. Following best practices for capacity planning enables carriers to reduce costs, explore new revenue opportunities, and stay competitive in an increasingly dynamic market.

ABOUT Matt Goldberg

Matt Goldberg is Senior Director of Service Provider Solutions at SevOne, a provider of scalable performance monitoring solutions to the world’s most connected companies.

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5 New Rules of Network Capacity Planning

The wireless landscape has changed dramatically in a very short period of time. Not only is there greater capacity demand, but wireless networks themselves have become infinitely more complex because of growing interconnectedness, new technology innovations, and shifting patterns of user activity. All of these factors mean that capacity planning models also have to change. There are more variables to monitor and more scenarios to consider. At the same time, the consequences of not being able to accurately predict bandwidth demand loom larger than ever.

Capacity planning has to be a strategic priority, and capacity planning models have to reflect the new realities of network evolution in 2014. The following are five new rules of capacity planning:

1. Know your Backhaul

The cellular backhaul market is one of the fastest growing segments in the mobile industry, thanks to rapid growth in demand, and specifically the need for more capacity to support the transport of local wireless data traffic back to the Internet. Where a bundle of T1 lines to a cell site might have sufficed five years ago, today it's not uncommon to need multiple 10 Gig pipes connected to a single location.

Growth has led to more competition among backhaul providers, but unfortunately, it hasn't necessarily made arranging for new backhaul agreements faster or easier. Providers often sell capacity before they have a chance to build it out, which means it can take months to light up a new link even after a deal is closed.

Wireless carriers need to do significant advance planning in order to prepare for maximum capacity events before they happen. By monitoring traffic and creating threshold alerts at every link, network operators can determine where upgrades are needed and when those upgrades must occur. Carriers should also ensure that the backhaul providers they choose can meet necessary service level agreements. Detailed traffic reports at every backhaul site offer assurance that capacity demands are not only being met in the moment, but that there is room for growth in the future.

2. Be Nimble in Performance Monitoring

Telecom environments are a heterogeneous mix of hardware and software systems. Unfortunately, that diverse technology landscape makes it difficult to maintain end-to-end performance visibility and to understand network utilization at a granular level. With increases in new technologies, network operators need new ways to monitor activity in order to plan capacity upgrades effectively.

Performance monitoring systems should be agnostic in data collection. In addition to relying on standard, out-of-the-box measurement capabilities, carriers need to be able to adapt quickly as new hardware and software gets added to the telecom infrastructure. This means not just being able to monitor standard Cisco or Juniper routers, but also being able to incorporate measurement data from any third-party source, including network probes, proprietary business applications, element management systems, and more. Accurate and timely data reports are critical in capacity planning, and that means carriers have to be able to adapt quickly to avoid performance visibility gaps.

3. Increase your Polling Frequency

Many network monitoring systems still rely on five-minute polling intervals to track bandwidth utilization. However, that cycle length can be highly misleading when it comes to analyzing micro bursts of traffic. A one-second spike in activity, for example, gets flattened out over a five-minute interval, making it difficult to get an accurate picture of bandwidth usage or to diagnose potential latency issues.

By increasing polling frequency, carriers can better see traffic spikes that would otherwise fly under the network management radar. These activity bursts can have a major impact on the customer experience, and need to be factored into capacity planning models. The greater the polling frequency, the more accurate the model.

4. Automate with Algorithms

In order to understand where traffic patterns are headed, a network operator first needs to understand the usage patterns of the past. From a modeling perspective, carriers need to set trending baselines that illustrate normal traffic behavior over many months. Once those baselines are established, it's relatively easy to recognize when activity strays outside the norm. For example, there may be a short-term uptick in bandwidth usage every Fall when college students go back to school, but viewed in the context of an entire year's worth of data, that information doesn't necessarily mean that a carrier needs to increase capacity more quickly than planned.

Capturing traffic data over a long period of time makes it easier to project bandwidth usage in the future. In addition to analyzing individual usage spikes, carriers can use historical data to generate algorithms for more sophisticated projection models. Once created, these algorithms help to automate the process of capacity management, showing network operators where growth is likely to take place well in advance of network overload.

5. Remember, Volume Isn't Everything

Knowing the amount of traffic on a network is important for capacity planning purposes, but so is knowing the composition of that traffic. Understanding the type of activity taking place can make a big difference in investment plans and even monetization strategy. For example, knowing how much customers are utilizing 4G broadband versus 3G can help operators determine how to allocate capacity across different services. Knowing how much bandwidth is being used by a single application can help a carrier analyze whether a different pricing structure would deliver better financial returns.

Capacity planning is a numbers game, but the best projection models take into account the value of different types of traffic. Volume isn't the only important variable.

Bandwidth is a critical resource, and creating an effective capacity planning strategy is well worth the investment. As networks grow more complex, utilization models have to advance as well. Following best practices for capacity planning enables carriers to reduce costs, explore new revenue opportunities, and stay competitive in an increasingly dynamic market.

ABOUT Matt Goldberg

Matt Goldberg is Senior Director of Service Provider Solutions at SevOne, a provider of scalable performance monitoring solutions to the world’s most connected companies.

Hot Topics

The Latest

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...