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Ensuring Communication Apps Perform as Networks Expand

Paul Davenport
AppNeta

When comparing enterprises today to those of the past, the differences are vast, but a few key features stand out. For starters, operations are no longer tethered tightly to a main office, as the headquarters-centric model has been retired in favor of a more decentralized enterprise structure. Rather than focus the business around a single location, enterprises are now comprised of a web of remote offices and individuals, where network connectivity has broken down the geographic barriers that in the past limited the availability of talent and resources.

Key to the success of the decentralized enterprise model is a new generation of collaboration and communication tools. UCaaS (unified communications as a service) in particular now represents a $3.5 billion global market that is forecast to grow by almost 70 percent in the next three years, according to IDC. And with so much cash on the table, it's no wonder that so many applications are coming to market looking for their share of the spoils.

This is a double edged sword for enterprise IT and for business users in general. On the one hand, users have a bevy of solutions to choose from that may be tailored to the unique needs of the business. On the flip side, this has the potential to add to the litany of new apps that are flooding the network and competing for network capacity. This raises the prospect of shadow IT running amok, for instance, if teams aren't aligned on what solutions are best. As more solutions sap up network capacity, it inevitably has to come at the expense of performance in other key areas, which can result in headaches across the business.

It's increasingly challenging for enterprise IT to juggle the performance of the larger enterprise network and the approved UCaaS and SaaS solutions leveraging capacity when teams aren't even aware of all the apps leveraging their networks. This is only the beginning of the challenge, as enterprise IT teams struggle with a lack of visibility when it comes to diagnosing issues that aren't the fault of the network but of the SaaS and cloud provider without additional monitoring solutions. While modern IT may not own or control the tools used by their SaaS vendors, business users still turn to IT when their apps aren't meeting performance standards. Even if IT can't own remediation of the issue because it's the fault of a third-party vendor, they still need to pinpoint where and why an issue is taking place, and put the wheels in motion for remediation.

Where UCaaS and collaboration tools are concerned, specifically, how can enterprise IT teams do their best to assure performance?

1. Get a view of the scale and scope of the network's "app landscape"

Without visibility into all of the apps leveraging network capacity, enterprise IT may be unaware of potentially malicious applications on the network. But perhaps more importantly, they'll have their hands tied when it comes to seeing how non-critical apps are impacting important ones. For communication tools in particular, ensuring that these "business critical" applications are getting the share of network capacity that they require is essential.

2. Baseline network performance, and explore alternatives

Building on the first step, enterprise IT should look at this as an opportunity to see what's really working, and explore areas for improvement. If a team abandons Slack for a different messaging app, for instance, IT should evaluate if it was simply a matter of UX preference, or if it was actually a performance issue that IT could remedy. To that end, teams need to take a close look at the strength of the network in areas that may be ripe for weaknesses: Is network capacity at remote sites sufficient enough to support the needs identified in step one, as well as for new technology coming down the line?

3. Establish (and enforce!) use policies with newly gained visibility

Enterprise IT needs to use a combination of monitoring approaches — both passive approaches and active ones — that allow them to visualize the whole network and all of their apps. This doesn't necessarily mean dedicating manpower to policing users, but employing lightweight — that is, low overhead and easy to control — solutions that can deliver real-time insights that are easy to analyze and take action on.

Once armed with active and passive visibility across the enterprise network, enterprise IT can not only support their existing communication solutions but help prime the network for the inevitable avalanche of new tech to come.

Paul Davenport is Marketing Communications Manager at AppNeta

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Ensuring Communication Apps Perform as Networks Expand

Paul Davenport
AppNeta

When comparing enterprises today to those of the past, the differences are vast, but a few key features stand out. For starters, operations are no longer tethered tightly to a main office, as the headquarters-centric model has been retired in favor of a more decentralized enterprise structure. Rather than focus the business around a single location, enterprises are now comprised of a web of remote offices and individuals, where network connectivity has broken down the geographic barriers that in the past limited the availability of talent and resources.

Key to the success of the decentralized enterprise model is a new generation of collaboration and communication tools. UCaaS (unified communications as a service) in particular now represents a $3.5 billion global market that is forecast to grow by almost 70 percent in the next three years, according to IDC. And with so much cash on the table, it's no wonder that so many applications are coming to market looking for their share of the spoils.

This is a double edged sword for enterprise IT and for business users in general. On the one hand, users have a bevy of solutions to choose from that may be tailored to the unique needs of the business. On the flip side, this has the potential to add to the litany of new apps that are flooding the network and competing for network capacity. This raises the prospect of shadow IT running amok, for instance, if teams aren't aligned on what solutions are best. As more solutions sap up network capacity, it inevitably has to come at the expense of performance in other key areas, which can result in headaches across the business.

It's increasingly challenging for enterprise IT to juggle the performance of the larger enterprise network and the approved UCaaS and SaaS solutions leveraging capacity when teams aren't even aware of all the apps leveraging their networks. This is only the beginning of the challenge, as enterprise IT teams struggle with a lack of visibility when it comes to diagnosing issues that aren't the fault of the network but of the SaaS and cloud provider without additional monitoring solutions. While modern IT may not own or control the tools used by their SaaS vendors, business users still turn to IT when their apps aren't meeting performance standards. Even if IT can't own remediation of the issue because it's the fault of a third-party vendor, they still need to pinpoint where and why an issue is taking place, and put the wheels in motion for remediation.

Where UCaaS and collaboration tools are concerned, specifically, how can enterprise IT teams do their best to assure performance?

1. Get a view of the scale and scope of the network's "app landscape"

Without visibility into all of the apps leveraging network capacity, enterprise IT may be unaware of potentially malicious applications on the network. But perhaps more importantly, they'll have their hands tied when it comes to seeing how non-critical apps are impacting important ones. For communication tools in particular, ensuring that these "business critical" applications are getting the share of network capacity that they require is essential.

2. Baseline network performance, and explore alternatives

Building on the first step, enterprise IT should look at this as an opportunity to see what's really working, and explore areas for improvement. If a team abandons Slack for a different messaging app, for instance, IT should evaluate if it was simply a matter of UX preference, or if it was actually a performance issue that IT could remedy. To that end, teams need to take a close look at the strength of the network in areas that may be ripe for weaknesses: Is network capacity at remote sites sufficient enough to support the needs identified in step one, as well as for new technology coming down the line?

3. Establish (and enforce!) use policies with newly gained visibility

Enterprise IT needs to use a combination of monitoring approaches — both passive approaches and active ones — that allow them to visualize the whole network and all of their apps. This doesn't necessarily mean dedicating manpower to policing users, but employing lightweight — that is, low overhead and easy to control — solutions that can deliver real-time insights that are easy to analyze and take action on.

Once armed with active and passive visibility across the enterprise network, enterprise IT can not only support their existing communication solutions but help prime the network for the inevitable avalanche of new tech to come.

Paul Davenport is Marketing Communications Manager at AppNeta

Hot Topics

The Latest

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...