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As Remote Work Takes Off, Network Visibility Helps IT Keep Pace

Paul Davenport
AppNeta

While remote work policies have been gaining steam for the better part of the past decade across the enterprise space — driven in large part by more agile and scalable, cloud-delivered business solutions — recent events have pushed adoption into overdrive.

For starters, anxieties surrounding the global spread of the COVID-19 virus have encouraged business leaders to let employees collaborate via UCaaS and collaboration tools from remote locations rather than convene in group settings that could make workers vulnerable to exposure. But the remote work movement was gaining steam well before that, as factors like commuting and the environment have simply made allowing flexibility for how and where employees get the job done a more logical and cost-effective policy.

As a result, managing user experience at remote offices has become an integral part of the job for modern enterprise IT. But in most cases, when the number of remote locations the network supports increases, IT operations remain centrally located, as staffing a physical presence at each new office would eat into the cost savings and efficiency that cloud and SaaS tools are meant to enable. While these efficiencies are hugely beneficial to the business, they do fundamentally change the level of visibility IT used to have when teams were centralized and issues could be quickly addressed on-premises.

Without solutions that deliver visibility into remote locations or provide insight into traffic from those locations, IT can become overly dependent on end users to report app performance issues — and usually only after these problems have impacted performance. The trouble with this is that end users may be quick to blame the network for performance issues when the real culprit may be the app itself, not the underlying infrastructure.

When visibility into remote office performance is lacking, IT teams frequently end up wasting time and budget getting to the bottom of issues that are impacting users across the business. When dealing with poorly performing apps, not only do end users become unproductive and start missing deadlines, but IT often gets sidelined because they’re constantly putting out fires rather than getting strategic initiatives off the ground. This will Inevitably start to impact the reputation of the IT team, as performance issues become chronic and remote users are constantly frustrated.

Embracing Automation to Gain Visibility

With an automated monitoring strategy that can deliver a local perspective into issues hindering remote locations, IT can be proactively alerted to network and application performance problems before users are even impacted. This arms IT with the ability to quickly know if performance-impacting issues are caused by flaws with the enterprise infrastructure, service providers, connecting networks or the apps themselves.

Comprehensive visibility into the performance of every app, user, and location is also critical in helping IT ensure their network is equipped with the requirements necessary to support the new breed of cloud and SaaS tools users rely on most. This can help illuminate areas of the network where IT could leverage more cost-effective connectivity options like local Internet breakouts or SD-WAN connectivity instead of MPLS or other private circuits.

When IT can ensure they have complete visibility into their remote locations, they can more predictably ensure end users aren’t meaningfully impacted by performance issues, while also starting to think strategically about how to plan for the future. Visibility empowers teams to more predictably budget for projects and ensure they meet their goals on schedule, even allowing them to investigate and deliver more cost-effective connectivity at remote locations.

Paul Davenport is Marketing Communications Manager at AppNeta

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As Remote Work Takes Off, Network Visibility Helps IT Keep Pace

Paul Davenport
AppNeta

While remote work policies have been gaining steam for the better part of the past decade across the enterprise space — driven in large part by more agile and scalable, cloud-delivered business solutions — recent events have pushed adoption into overdrive.

For starters, anxieties surrounding the global spread of the COVID-19 virus have encouraged business leaders to let employees collaborate via UCaaS and collaboration tools from remote locations rather than convene in group settings that could make workers vulnerable to exposure. But the remote work movement was gaining steam well before that, as factors like commuting and the environment have simply made allowing flexibility for how and where employees get the job done a more logical and cost-effective policy.

As a result, managing user experience at remote offices has become an integral part of the job for modern enterprise IT. But in most cases, when the number of remote locations the network supports increases, IT operations remain centrally located, as staffing a physical presence at each new office would eat into the cost savings and efficiency that cloud and SaaS tools are meant to enable. While these efficiencies are hugely beneficial to the business, they do fundamentally change the level of visibility IT used to have when teams were centralized and issues could be quickly addressed on-premises.

Without solutions that deliver visibility into remote locations or provide insight into traffic from those locations, IT can become overly dependent on end users to report app performance issues — and usually only after these problems have impacted performance. The trouble with this is that end users may be quick to blame the network for performance issues when the real culprit may be the app itself, not the underlying infrastructure.

When visibility into remote office performance is lacking, IT teams frequently end up wasting time and budget getting to the bottom of issues that are impacting users across the business. When dealing with poorly performing apps, not only do end users become unproductive and start missing deadlines, but IT often gets sidelined because they’re constantly putting out fires rather than getting strategic initiatives off the ground. This will Inevitably start to impact the reputation of the IT team, as performance issues become chronic and remote users are constantly frustrated.

Embracing Automation to Gain Visibility

With an automated monitoring strategy that can deliver a local perspective into issues hindering remote locations, IT can be proactively alerted to network and application performance problems before users are even impacted. This arms IT with the ability to quickly know if performance-impacting issues are caused by flaws with the enterprise infrastructure, service providers, connecting networks or the apps themselves.

Comprehensive visibility into the performance of every app, user, and location is also critical in helping IT ensure their network is equipped with the requirements necessary to support the new breed of cloud and SaaS tools users rely on most. This can help illuminate areas of the network where IT could leverage more cost-effective connectivity options like local Internet breakouts or SD-WAN connectivity instead of MPLS or other private circuits.

When IT can ensure they have complete visibility into their remote locations, they can more predictably ensure end users aren’t meaningfully impacted by performance issues, while also starting to think strategically about how to plan for the future. Visibility empowers teams to more predictably budget for projects and ensure they meet their goals on schedule, even allowing them to investigate and deliver more cost-effective connectivity at remote locations.

Paul Davenport is Marketing Communications Manager at AppNeta

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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 ...

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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 ...