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Managing the Changing Hybrid Workforce

Shashi Kiran
Aryaka Networks

The pandemic saw lockdowns, quarantines, self-imposed isolation, restructuring business for online platforms, and remote workers. In short, enterprises the world over participated in the biggest remote work experiment in human history.

Now, more than a year since its start, we are in a relatively better position to gauge the impact of remote working on how we communicate, connect, and create. Large Tech companies have provided tremendous flexibility for their employees. However, this is not possible for all types of businesses and as several CEOs have made a call to bring their employees back into the office, the transition may not be as easy on the technology or human side.

One thing is certain: The hybrid workplace, a term we helped define in early 2020, with its human-centric work design, is the future.

According to Gartner, by 2025, 50% of knowledge workers will be working remotely. Of those, 80% will be hybrid, splitting their time between home and an office, while 20% will be totally remote. For this article, we'll define onsite workers as those who work either in an enterprise branch or HQ, and for the sake of argument, remote workers are those working only from home and hybrid workers are those splitting time between a branch/HQ and home.

To remain competitive, enterprises must embrace every type of hybrid work style whether it's planning for a co-located or distributed workforce. And it doesn't matter which country or continent your enterprise calls home or specific roles within the organization; there's not running away from this trend. According to Capgemini, even when the pandemic subsides, around 45% or employees think they will spend three days or more per week working remotely. What's interesting is that Capgemini also found that 63% of the organizations they surveyed observed an increase in their productivity levels during the Q3 2020 reporting period, versus 16% who said they saw no change and 20% who believed they saw a decrease.

From an enterprise perspective, 88% agree that they have realized real-estate cost savings with remote working in the last three to four months, and 92% expect savings in the next two to three years. One positive outcome of this is potential reallocation of investment that shifts from facilities to better equipping the hybrid worker with an "enterprise-class" experience.

However, this new hybrid work flexibility does not come without its costs. According to Microsoft, which looked at year-over-year growth, weekly meeting times for MS Teams users increased 148%, between February 2020 and February 2021 they saw a 40 billion increase in the number of emails, weekly per person team chats is up 45% (and climbing), and people working on Office Docs increased by 66%. This speaks to the need to further optimize remote interactions to avoid burnout.


And this type of work activity is bandwidth intensive and poses challenges to enterprise remote workers. According to Aryaka Networks' 2021 State of the WAN report, enterprises ranked the biggest barriers to effective collaboration as follows:

■ Set up and management of underlying network infrastructure (42%)

■ Lag/Delay in communication (42%)

■ Poor voice or video quality (40%)

■ Frequently dropped calls (38%)

■ Only 13 percent of respondents said everything is perfect.

The State of the WAN report also identified the top existing WAN infrastructure challenges with the top ones being:

■ Complexity (37%)

■ Slow access (33%)

■ Slow performance (32%)

■ Deployment times (29%)

■ Security (28%)

■ Poor voice or video quality (23%)

■ High cost (20%)

■ Lack of visibility (20%)

Taking a Cloud-First Approach for Hybrid Workforce Simplicity

For enterprises to effectively manage the new realities of the hybrid workforce, they can either do it themselves through various hardware and software solutions, or they can take a managed service provider route. The do-it-yourself approach while maintaining application performance offer some levels of autonomy, it is arguably more complex, especially when you're talking about securely connecting people/branches on a global scale.

A managed approach, on the other hand, offers an "as-a-Service" consumption model that features more agility, lower TCO, fewer SLA headaches, and high application performance. Just be mindful of how the service provider integrates/stitches together all the key components, their effective global reach, and that they don't try to lock you in with their services contracts. Also, it helps to look for one-stop-shop service providers that offer their own technology.

If you've still not started planning for the future of your hybrid workforce, you might want to start now. When shopping for an enterprise WAN solution, make sure it is one that is flexible, with the ability to adjust bandwidth across sites as needed, support potential surges of remote/hybrid workers, and enables the rapid deployment of cloud-based or other SaaS-based solutions. Investing in a WAN solution that's geared for the hybrid workforce gives enterprises a safety blanket to weather whatever life throws your way.

Shashi Kiran is CMO at Aryaka Networks

The Latest

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 ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

Managing the Changing Hybrid Workforce

Shashi Kiran
Aryaka Networks

The pandemic saw lockdowns, quarantines, self-imposed isolation, restructuring business for online platforms, and remote workers. In short, enterprises the world over participated in the biggest remote work experiment in human history.

Now, more than a year since its start, we are in a relatively better position to gauge the impact of remote working on how we communicate, connect, and create. Large Tech companies have provided tremendous flexibility for their employees. However, this is not possible for all types of businesses and as several CEOs have made a call to bring their employees back into the office, the transition may not be as easy on the technology or human side.

One thing is certain: The hybrid workplace, a term we helped define in early 2020, with its human-centric work design, is the future.

According to Gartner, by 2025, 50% of knowledge workers will be working remotely. Of those, 80% will be hybrid, splitting their time between home and an office, while 20% will be totally remote. For this article, we'll define onsite workers as those who work either in an enterprise branch or HQ, and for the sake of argument, remote workers are those working only from home and hybrid workers are those splitting time between a branch/HQ and home.

To remain competitive, enterprises must embrace every type of hybrid work style whether it's planning for a co-located or distributed workforce. And it doesn't matter which country or continent your enterprise calls home or specific roles within the organization; there's not running away from this trend. According to Capgemini, even when the pandemic subsides, around 45% or employees think they will spend three days or more per week working remotely. What's interesting is that Capgemini also found that 63% of the organizations they surveyed observed an increase in their productivity levels during the Q3 2020 reporting period, versus 16% who said they saw no change and 20% who believed they saw a decrease.

From an enterprise perspective, 88% agree that they have realized real-estate cost savings with remote working in the last three to four months, and 92% expect savings in the next two to three years. One positive outcome of this is potential reallocation of investment that shifts from facilities to better equipping the hybrid worker with an "enterprise-class" experience.

However, this new hybrid work flexibility does not come without its costs. According to Microsoft, which looked at year-over-year growth, weekly meeting times for MS Teams users increased 148%, between February 2020 and February 2021 they saw a 40 billion increase in the number of emails, weekly per person team chats is up 45% (and climbing), and people working on Office Docs increased by 66%. This speaks to the need to further optimize remote interactions to avoid burnout.


And this type of work activity is bandwidth intensive and poses challenges to enterprise remote workers. According to Aryaka Networks' 2021 State of the WAN report, enterprises ranked the biggest barriers to effective collaboration as follows:

■ Set up and management of underlying network infrastructure (42%)

■ Lag/Delay in communication (42%)

■ Poor voice or video quality (40%)

■ Frequently dropped calls (38%)

■ Only 13 percent of respondents said everything is perfect.

The State of the WAN report also identified the top existing WAN infrastructure challenges with the top ones being:

■ Complexity (37%)

■ Slow access (33%)

■ Slow performance (32%)

■ Deployment times (29%)

■ Security (28%)

■ Poor voice or video quality (23%)

■ High cost (20%)

■ Lack of visibility (20%)

Taking a Cloud-First Approach for Hybrid Workforce Simplicity

For enterprises to effectively manage the new realities of the hybrid workforce, they can either do it themselves through various hardware and software solutions, or they can take a managed service provider route. The do-it-yourself approach while maintaining application performance offer some levels of autonomy, it is arguably more complex, especially when you're talking about securely connecting people/branches on a global scale.

A managed approach, on the other hand, offers an "as-a-Service" consumption model that features more agility, lower TCO, fewer SLA headaches, and high application performance. Just be mindful of how the service provider integrates/stitches together all the key components, their effective global reach, and that they don't try to lock you in with their services contracts. Also, it helps to look for one-stop-shop service providers that offer their own technology.

If you've still not started planning for the future of your hybrid workforce, you might want to start now. When shopping for an enterprise WAN solution, make sure it is one that is flexible, with the ability to adjust bandwidth across sites as needed, support potential surges of remote/hybrid workers, and enables the rapid deployment of cloud-based or other SaaS-based solutions. Investing in a WAN solution that's geared for the hybrid workforce gives enterprises a safety blanket to weather whatever life throws your way.

Shashi Kiran is CMO at Aryaka Networks

The Latest

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 ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...