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Organizations Struggle to Expand IT Support to Remote Locations

Alison Hubbard

Cloud computing and mobile computing enable enterprises to deploy more of their employees and resources to remote and branch offices (ROBOs). That's contributing to a new set of challenges for their IT organizations that simply did not exist when the central office was home base for the data center and majority of users. Today, users at ROBOs must have quick and easy access to systems and applications on a multitude of devices, and cannot tolerate performance slowdowns or outages. After all, they are on the frontlines of where business happens. IT professionals are finding that supporting remote users' demands for anytime, anywhere support is growing too costly, demands resources they cannot spare, and increases the security risk of critical company data.

Those are the key findings of the 2016 Riverbed Remote Office/Branch Office IT Survey. Riverbed commissioned a survey of 183 attendees on the show floor during EMC World 2016 in Las Vegas. They represented SMBs and large organizations. Most (82 percent) worked in IT, while 9 percent worked in development.

For most respondents, the data center remains their primary focus, with supporting ROBOs a close second. Yet, organizations are rarely able to staff ROBOs with trained IT personnel, forcing IT to remotely perform monitoring, maintenance, troubleshooting, and other operations intended to accelerate business, often one location at a time. This makes deploying and maintaining systems and applications for each ROBO complex, expensive, and time-consuming, particularly with today's hybrid IT architectures.

A top challenge is managing the ever-growing volumes of data ROBO workers generate and need instant access to in order to get their work done on a daily basis. Where organizations store ROBO data is crucial to achieving operational efficiencies and high availability. Three-quarters (75 percent) of the respondents say that consolidating ROBO data back to the data center, or in the cloud, was somewhat to extremely desirable.

Other top challenges include:

Disaster recovery: 54 percent cited delays when recovering from ROBO outages as their top issue. These delays hurt the business' ability to generate revenue, exposes the ROBO to risk from data loss and can tarnish the business' reputation.

Staffing: 46 percent struggle to supply adequate IT staff at ROBOs. In fact, they often have no IT staff onsite. This makes it especially difficult to supervise and ensure backups.

Provisioning delays: 45 percent reported the time it takes them to provision ROBO infrastructure, applications and services hurt their organizations' ability to generate revenue.

Software-Defining the Edge

IT can reduce the costs and complexities of managing a highly distributed environment without increasing security risks by implementing a "Software-defined Edge" model to centralize all systems, operations and services. IT manages everything inside a secure, centralized datacenter and delivers applications and data to users at ROBOs.

Benefits include:

Hardened security posture: 100 percent of data is secured in the data center, not sitting on a piece of hardware in a far-away ROBO location, out of your control; and without compromise to remote user productivity. All data is encrypted at-rest and in-motion for true end-to-end encryption.

Improved user productivity: Generate up to a 100x increase in branch application performance. Users will encounter far fewer instances of downtime due to system outages or poor performance. Ensuring information and system availability enables users to get their work done using any device they choose.

Ensure business continuity: 100x faster recovery times (RTO) minimizes the damage done by outages, with RPO time practically eliminated. Perform backup and recovery operations in mere seconds instead of days or weeks.

Improved operational agility: IT can deploy branch services and sites in under 15 minutes, and manage everything via the central dashboard. All heavy ROBO IT operations, such as provisioning new services and sites, and recovery of sites in the case of outages, take seconds instead of days. Remote backup headaches are completely eliminated. The result is a more agile IT team that is better able to support the needs of the business.

Consolidating infrastructure at the edge is just the first step. Cobbling together disparate pieces of hardware into one appliance will not solve short- or long-term performance, data security and management issues. An effective Software-defined Edge model requires making the edges "stateless."

Storage professionals realize that the word "state" refers to facing daily operational challenges to manage and protect data at the ROBO that's vulnerable to loss and theft. A lost storage piece at the ROBO will require hours, days, (or in some cases longer) of effort to bring it back online. And there's no guarantee of success, particularly when resorting to older backups. Moving data storage away from the edges to the central data center or to the cloud creates stateless data stores without compromising user experience.

Combining storage delivery, server virtualization and hybrid WAN optimization technologies will enable IT organizations to eliminate the need for physical servers, storage and backup infrastructure at ROBO locations. Realizing this vision, and the resulting reduction in risk and cost savings – both dollars and manpower – requires full visibility and complete control over the entire network. The key is to software-define the edge so IT can make better-informed decisions about which applications and services to provide to workers at various ROBOs worldwide.

Alison Hubbard is Senior Director of Product Marketing, SteelFusion, at Riverbed.

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Organizations Struggle to Expand IT Support to Remote Locations

Alison Hubbard

Cloud computing and mobile computing enable enterprises to deploy more of their employees and resources to remote and branch offices (ROBOs). That's contributing to a new set of challenges for their IT organizations that simply did not exist when the central office was home base for the data center and majority of users. Today, users at ROBOs must have quick and easy access to systems and applications on a multitude of devices, and cannot tolerate performance slowdowns or outages. After all, they are on the frontlines of where business happens. IT professionals are finding that supporting remote users' demands for anytime, anywhere support is growing too costly, demands resources they cannot spare, and increases the security risk of critical company data.

Those are the key findings of the 2016 Riverbed Remote Office/Branch Office IT Survey. Riverbed commissioned a survey of 183 attendees on the show floor during EMC World 2016 in Las Vegas. They represented SMBs and large organizations. Most (82 percent) worked in IT, while 9 percent worked in development.

For most respondents, the data center remains their primary focus, with supporting ROBOs a close second. Yet, organizations are rarely able to staff ROBOs with trained IT personnel, forcing IT to remotely perform monitoring, maintenance, troubleshooting, and other operations intended to accelerate business, often one location at a time. This makes deploying and maintaining systems and applications for each ROBO complex, expensive, and time-consuming, particularly with today's hybrid IT architectures.

A top challenge is managing the ever-growing volumes of data ROBO workers generate and need instant access to in order to get their work done on a daily basis. Where organizations store ROBO data is crucial to achieving operational efficiencies and high availability. Three-quarters (75 percent) of the respondents say that consolidating ROBO data back to the data center, or in the cloud, was somewhat to extremely desirable.

Other top challenges include:

Disaster recovery: 54 percent cited delays when recovering from ROBO outages as their top issue. These delays hurt the business' ability to generate revenue, exposes the ROBO to risk from data loss and can tarnish the business' reputation.

Staffing: 46 percent struggle to supply adequate IT staff at ROBOs. In fact, they often have no IT staff onsite. This makes it especially difficult to supervise and ensure backups.

Provisioning delays: 45 percent reported the time it takes them to provision ROBO infrastructure, applications and services hurt their organizations' ability to generate revenue.

Software-Defining the Edge

IT can reduce the costs and complexities of managing a highly distributed environment without increasing security risks by implementing a "Software-defined Edge" model to centralize all systems, operations and services. IT manages everything inside a secure, centralized datacenter and delivers applications and data to users at ROBOs.

Benefits include:

Hardened security posture: 100 percent of data is secured in the data center, not sitting on a piece of hardware in a far-away ROBO location, out of your control; and without compromise to remote user productivity. All data is encrypted at-rest and in-motion for true end-to-end encryption.

Improved user productivity: Generate up to a 100x increase in branch application performance. Users will encounter far fewer instances of downtime due to system outages or poor performance. Ensuring information and system availability enables users to get their work done using any device they choose.

Ensure business continuity: 100x faster recovery times (RTO) minimizes the damage done by outages, with RPO time practically eliminated. Perform backup and recovery operations in mere seconds instead of days or weeks.

Improved operational agility: IT can deploy branch services and sites in under 15 minutes, and manage everything via the central dashboard. All heavy ROBO IT operations, such as provisioning new services and sites, and recovery of sites in the case of outages, take seconds instead of days. Remote backup headaches are completely eliminated. The result is a more agile IT team that is better able to support the needs of the business.

Consolidating infrastructure at the edge is just the first step. Cobbling together disparate pieces of hardware into one appliance will not solve short- or long-term performance, data security and management issues. An effective Software-defined Edge model requires making the edges "stateless."

Storage professionals realize that the word "state" refers to facing daily operational challenges to manage and protect data at the ROBO that's vulnerable to loss and theft. A lost storage piece at the ROBO will require hours, days, (or in some cases longer) of effort to bring it back online. And there's no guarantee of success, particularly when resorting to older backups. Moving data storage away from the edges to the central data center or to the cloud creates stateless data stores without compromising user experience.

Combining storage delivery, server virtualization and hybrid WAN optimization technologies will enable IT organizations to eliminate the need for physical servers, storage and backup infrastructure at ROBO locations. Realizing this vision, and the resulting reduction in risk and cost savings – both dollars and manpower – requires full visibility and complete control over the entire network. The key is to software-define the edge so IT can make better-informed decisions about which applications and services to provide to workers at various ROBOs worldwide.

Alison Hubbard is Senior Director of Product Marketing, SteelFusion, at Riverbed.

Hot Topics

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 ...