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User Experience is King at the Intersection of IT and SaaS

Patricia Diaz-Hymes

The question of SaaS-based technology over the past decade has quickly changed from "should we?" to "how soon can we?" even for the most customized and regulated of industries. And it's no surprise. The benefits of SaaS extend beyond the undeniable OPEX vs CAPEX conversation and into its byproduct — the opportunity to more productively and securely support business users.

As a result, critical business processes and resources are shifting to SaaS, beyond business applications for HR and Sales departments. Take for instance the much publicized Windows 10 "OS as a service" offering (a.k.a. Windows evergreen) that is shifting key aspects of the SaaS business model, namely its continuous feature and quality updates.

This macro move toward SaaS has brought many user and business-friendly features like frictionless authentication and mobility, not to mention its simpler onboarding that enables any line of business to procure software. However, this move has also encouraged a series of IT "best practices" that have potential impacts on the employee digital experience, organizational risk and ultimately, productivity. To get work done, users look and often find workarounds that improve their end-user experience.

I'm not suggesting IT needs to become an enforcer. Instead, I posit that IT can coexist with stellar end-user experience given endpoint visibility into the performance and usage of IT resources and services in the estate. By endpoint visibility, I'm referring to properly monitoring end-user experience and all the factors that may be impacting it directly from the endpoint.

Here are four major IT best practices:

1. Lock down corporate-issued laptops or mobile devices

User workaround: With a growing number of business-critical apps now running via the browser, the attractiveness of locking down corporate-issued devices becomes that much more appealing. While it is a security best practice, it also drives employees to bring unsanctioned devices into the workplace which, in turn, increases organizational risk.

Fix: Consider using a monitoring tool to either test a BYOD program or allowing for increased user rights to their corporate-issued devices. The right monitoring tool should be able to measure and alert in case of risk – be it app, data or access-related.

2. Offload management to SLA vendors

User workaround: Just as the shift to OPEX has very real budgetary benefits, many SaaS-based technologies also have real implications for user experience, namely when it comes to pushed updates bringing endpoint performance implications, unscheduled downtime, and slow time to resolution when SLA issues arise. As a result, users can, and often do, resort to uninstalling updates or even using their own devices until IT fixes the issue.

Fix: Track SLA performance and more specifically, the endpoint resources the service level agreement (SLA) solution is consuming (CPU, memory, you name it). Not only can responsibility for resolving the issue be assigned but it can help ensure transparency in the license agreement. This monitoring, if done properly, can reduce time to resolution and discourage users from having to uninstall performance-impacting updates.

3. Move all users to SaaS-based intranets and file sharing

Workaround: Given slow or complicated SaaS apps, some employees tend to save documents, sensitive or not, locally to "erase them later." Others continue to save files locally, but leave their laptops at the office in an effort to minimize the risk of data loss due to theft at home. But with SaaS apps helping provide an additional layer of access and data security, these user workarounds increase organizational risk.

Fix: Before rolling out these technologies, track user patterns and assign personas based on observed usage. Perhaps there are in-office employees that could save resources locally in a corporate desktop. After rollout, consider measuring how end-user experience has improved or declined and continue to track usage to see where improvements can be made.

4. Install high volumes of security software on endpoints

Workaround: Many times, security technologies slow down system performance and, in turn, employees seek and find ways of disabling those tools to enhance device performance.

Fix: Continuously monitor endpoint performance so that IT can be alerted when user experience declines due to any given (security) app using too many critical endpoint resources.

Takeaways

SaaS is here to stay and evolve. How we shape the workspace to use and consume them is, in large part, up to IT. Endpoint visibility into the environment using digital experience monitoring tools can play a role in making the transition to these technologies that much easier not just for IT but also for those working in them — our end-users.

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User Experience is King at the Intersection of IT and SaaS

Patricia Diaz-Hymes

The question of SaaS-based technology over the past decade has quickly changed from "should we?" to "how soon can we?" even for the most customized and regulated of industries. And it's no surprise. The benefits of SaaS extend beyond the undeniable OPEX vs CAPEX conversation and into its byproduct — the opportunity to more productively and securely support business users.

As a result, critical business processes and resources are shifting to SaaS, beyond business applications for HR and Sales departments. Take for instance the much publicized Windows 10 "OS as a service" offering (a.k.a. Windows evergreen) that is shifting key aspects of the SaaS business model, namely its continuous feature and quality updates.

This macro move toward SaaS has brought many user and business-friendly features like frictionless authentication and mobility, not to mention its simpler onboarding that enables any line of business to procure software. However, this move has also encouraged a series of IT "best practices" that have potential impacts on the employee digital experience, organizational risk and ultimately, productivity. To get work done, users look and often find workarounds that improve their end-user experience.

I'm not suggesting IT needs to become an enforcer. Instead, I posit that IT can coexist with stellar end-user experience given endpoint visibility into the performance and usage of IT resources and services in the estate. By endpoint visibility, I'm referring to properly monitoring end-user experience and all the factors that may be impacting it directly from the endpoint.

Here are four major IT best practices:

1. Lock down corporate-issued laptops or mobile devices

User workaround: With a growing number of business-critical apps now running via the browser, the attractiveness of locking down corporate-issued devices becomes that much more appealing. While it is a security best practice, it also drives employees to bring unsanctioned devices into the workplace which, in turn, increases organizational risk.

Fix: Consider using a monitoring tool to either test a BYOD program or allowing for increased user rights to their corporate-issued devices. The right monitoring tool should be able to measure and alert in case of risk – be it app, data or access-related.

2. Offload management to SLA vendors

User workaround: Just as the shift to OPEX has very real budgetary benefits, many SaaS-based technologies also have real implications for user experience, namely when it comes to pushed updates bringing endpoint performance implications, unscheduled downtime, and slow time to resolution when SLA issues arise. As a result, users can, and often do, resort to uninstalling updates or even using their own devices until IT fixes the issue.

Fix: Track SLA performance and more specifically, the endpoint resources the service level agreement (SLA) solution is consuming (CPU, memory, you name it). Not only can responsibility for resolving the issue be assigned but it can help ensure transparency in the license agreement. This monitoring, if done properly, can reduce time to resolution and discourage users from having to uninstall performance-impacting updates.

3. Move all users to SaaS-based intranets and file sharing

Workaround: Given slow or complicated SaaS apps, some employees tend to save documents, sensitive or not, locally to "erase them later." Others continue to save files locally, but leave their laptops at the office in an effort to minimize the risk of data loss due to theft at home. But with SaaS apps helping provide an additional layer of access and data security, these user workarounds increase organizational risk.

Fix: Before rolling out these technologies, track user patterns and assign personas based on observed usage. Perhaps there are in-office employees that could save resources locally in a corporate desktop. After rollout, consider measuring how end-user experience has improved or declined and continue to track usage to see where improvements can be made.

4. Install high volumes of security software on endpoints

Workaround: Many times, security technologies slow down system performance and, in turn, employees seek and find ways of disabling those tools to enhance device performance.

Fix: Continuously monitor endpoint performance so that IT can be alerted when user experience declines due to any given (security) app using too many critical endpoint resources.

Takeaways

SaaS is here to stay and evolve. How we shape the workspace to use and consume them is, in large part, up to IT. Endpoint visibility into the environment using digital experience monitoring tools can play a role in making the transition to these technologies that much easier not just for IT but also for those working in them — our end-users.

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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 ...

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 ...