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Why UC Applications Still Cause Network Headaches (And How to Fix Them)

Chris Bloom

Unified Communications (UC) applications such as VoIP and Video streaming have been around in the enterprise setting now for almost two decades. It's rather remarkable, then, that for all of their business benefits and popularity, UC applications still post so many headaches for network engineers. With that in mind, are there steps that network engineers can and should be taking to make these applications more reliable, and deliver better quality of service to their users? I believe there are, so let's take a look at some tips.

Rather than being generated digitally, the origin of UC data is a fluid and continuous analog stream. For that reason, data from UC applications such as VoIP need to be managed in real time. Unfortunately, as digital files are transferred over any network, it's common for some of those packets to be dropped or to be delivered out of sync, resulting in poor sound quality, delays, static and sound gaps.

Email and document transfer applications generally cause far less obvious problems on the network thanks to TCP's built-in checks and acknowledgements, giving it the ability to resend and reorganize data into a perfect digital copy of the original. This isn't the case for UDP, which is a best-effort protocol often used by UC applications. Once a UDP packet has been sent, there is no mechanism to acknowledge or retransmit that packet if it gets delayed or corrupted due to latency, jitter or packet loss. VoIP technologies often employ tools such as DSP algorithms that compensate for up to 30 milliseconds of missing data, however anything above that threshold will be noticed by the listener.

This is where modern network analysis and diagnostic solutions come in. These tools give network engineers the ability to monitor and analyze all network traffic, including VoIP and other UC applications, for signs of network traffic issues. Armed with information about latency, throughput, and other network problems, IT teams have the power to resolve issues, maintain a QoS experience, mitigate poor performance caused by a competition for network bandwidth, and monitor compliance with established network policies and vendor SLAs.

It all starts with taking a proactive approach to UC application management. This involves being aware of the ways in which applications affect the network and other applications, but it also requires leveraging the full value of a network analysis solution to provide ongoing expert analysis of possible issues. Here are a few simple tips.

1. Understand your network's behavior

There are certain things an IT team needs to understand about the network's behavior, including its general health. The best way to assess this is to establish baselines of the existing infrastructure across the entire enterprise network. Knowing how the network behaves on a regular basis will prepare you to spot and deal with any issues that UC applications may have.

2. Beware of the three-headed beast: Jitter, Latency and Packet Loss

Jitter, latency, and packet loss are common, but they can cause havoc to UC applications on a converged network. This is where network visibility and analytics tools are invaluable as they alert the IT team to performance problems and enable proactive management of UC applications by adjusting configurations or adding extra capacity.

3. Monitor constantly

Monitoring UC applications includes a combination of metrics for general network performance and specific end-user quality of experience (QoE). Constant monitoring will validate QoS operations, reveal network traffic patterns that affect UC applications, and provide alerts whenever there's a drop in performance.

4. Zoom in on VoFi

VoFi is just another data type on your network, but using VoIP over wireless introduces the possibility of extra interference and other issues. Once the IT team has performed a scan of the 802.11 bands in use, 2.4GHz, 5GHz, etc., it's a good idea to isolate VoFi traffic for things like call quality, call volume (number of calls), and network utilization for VoFi versus all other data. If a more detailed analysis is needed, check the signaling for each call, including detail about any packet bounces.

You may also want to observe individual flows, since the packet paths between the caller and the callee can differ. Also check the quality of the voice transmission, including an analysis of latency, packet loss, jitter, and MOS and R-Factor voice quality metrics. If you're not sure how these metrics compare with “real world” quality, it helps to play back sections of a sample call to hear how it actually sounded.

5. Don't be afraid to tweak the network

Application traffic changes all the time. When you see issues crop up, don't be afraid to tweak the network to maintain levels of performance.

Although UC applications data is basically just another type of traffic on the network, ensuring that they work seamlessly can be a big challenge for IT teams. It's always best to start by testing the overall environment and the end user experience, and from there you can gradually drill down into specific problem areas to find a resolve the issues. Being proactive about network health will absolutely result in fewer problems down the line.

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Why UC Applications Still Cause Network Headaches (And How to Fix Them)

Chris Bloom

Unified Communications (UC) applications such as VoIP and Video streaming have been around in the enterprise setting now for almost two decades. It's rather remarkable, then, that for all of their business benefits and popularity, UC applications still post so many headaches for network engineers. With that in mind, are there steps that network engineers can and should be taking to make these applications more reliable, and deliver better quality of service to their users? I believe there are, so let's take a look at some tips.

Rather than being generated digitally, the origin of UC data is a fluid and continuous analog stream. For that reason, data from UC applications such as VoIP need to be managed in real time. Unfortunately, as digital files are transferred over any network, it's common for some of those packets to be dropped or to be delivered out of sync, resulting in poor sound quality, delays, static and sound gaps.

Email and document transfer applications generally cause far less obvious problems on the network thanks to TCP's built-in checks and acknowledgements, giving it the ability to resend and reorganize data into a perfect digital copy of the original. This isn't the case for UDP, which is a best-effort protocol often used by UC applications. Once a UDP packet has been sent, there is no mechanism to acknowledge or retransmit that packet if it gets delayed or corrupted due to latency, jitter or packet loss. VoIP technologies often employ tools such as DSP algorithms that compensate for up to 30 milliseconds of missing data, however anything above that threshold will be noticed by the listener.

This is where modern network analysis and diagnostic solutions come in. These tools give network engineers the ability to monitor and analyze all network traffic, including VoIP and other UC applications, for signs of network traffic issues. Armed with information about latency, throughput, and other network problems, IT teams have the power to resolve issues, maintain a QoS experience, mitigate poor performance caused by a competition for network bandwidth, and monitor compliance with established network policies and vendor SLAs.

It all starts with taking a proactive approach to UC application management. This involves being aware of the ways in which applications affect the network and other applications, but it also requires leveraging the full value of a network analysis solution to provide ongoing expert analysis of possible issues. Here are a few simple tips.

1. Understand your network's behavior

There are certain things an IT team needs to understand about the network's behavior, including its general health. The best way to assess this is to establish baselines of the existing infrastructure across the entire enterprise network. Knowing how the network behaves on a regular basis will prepare you to spot and deal with any issues that UC applications may have.

2. Beware of the three-headed beast: Jitter, Latency and Packet Loss

Jitter, latency, and packet loss are common, but they can cause havoc to UC applications on a converged network. This is where network visibility and analytics tools are invaluable as they alert the IT team to performance problems and enable proactive management of UC applications by adjusting configurations or adding extra capacity.

3. Monitor constantly

Monitoring UC applications includes a combination of metrics for general network performance and specific end-user quality of experience (QoE). Constant monitoring will validate QoS operations, reveal network traffic patterns that affect UC applications, and provide alerts whenever there's a drop in performance.

4. Zoom in on VoFi

VoFi is just another data type on your network, but using VoIP over wireless introduces the possibility of extra interference and other issues. Once the IT team has performed a scan of the 802.11 bands in use, 2.4GHz, 5GHz, etc., it's a good idea to isolate VoFi traffic for things like call quality, call volume (number of calls), and network utilization for VoFi versus all other data. If a more detailed analysis is needed, check the signaling for each call, including detail about any packet bounces.

You may also want to observe individual flows, since the packet paths between the caller and the callee can differ. Also check the quality of the voice transmission, including an analysis of latency, packet loss, jitter, and MOS and R-Factor voice quality metrics. If you're not sure how these metrics compare with “real world” quality, it helps to play back sections of a sample call to hear how it actually sounded.

5. Don't be afraid to tweak the network

Application traffic changes all the time. When you see issues crop up, don't be afraid to tweak the network to maintain levels of performance.

Although UC applications data is basically just another type of traffic on the network, ensuring that they work seamlessly can be a big challenge for IT teams. It's always best to start by testing the overall environment and the end user experience, and from there you can gradually drill down into specific problem areas to find a resolve the issues. Being proactive about network health will absolutely result in fewer problems down the line.

Hot Topics

The Latest

AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...