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APM Will Become More Secure in 2020 with Perimeters That Are Truly Impenetrable

Don Boxley

Ensuring reliable data security is a critical part of Application Performance Management (APM) — or at least it should be. The fact is, as a result of our need for speed, increasingly development teams are confronted with the problem of releasing applications faster without compromising security.

There are many ways that this may play out, so let's take Raspberry Pi (RasPi) as one example. This popular platform is well known for its role in Internet of Things (IoT) platforms and applications. This is because RasPi's combination of cost effectiveness, versatility and simplicity make it an attractive solution for small businesses and large enterprises, experts and novices alike — especially those looking to develop and roll-out a solution as quickly and affordably as possible. This tiny computing tool is behind a growing number of IoT devices and applications that are increasing worldwide connection opportunities — but are in tandem increasing how easy it is for hackers to compromise systems that rely on a traditional network perimeter, such as a virtual private network (VPN), and thus aren't properly secured.

2020 will be the year when APM begins to integrate a higher level of security

This is why 2020 will be the year when APM begins to integrate a higher level of security, which can best be achieved through software defined perimeters (SDP). This new class of data security can be effectively paired with RasPi, resulting in IoT networks that are highly secure, easy to manage and quite affordable. SDP's primary benefit is in better protecting intra-device data flows by providing application-level segmentation, rather than automatically granting network-level access to every user. This change in access helps to reverse the security problems caused by conventional perimeter security, which is prone to attack due to its large potential network-wide attack surface.

VPNs do work well in certain situations, but only those they were designed to handle. Since VPNs and other traditional perimeter security solutions weren't designed for the cloud-based world in which we now operate — a world that can only be considered "perimeter-less" today — SDP solutions that isolate and protect data at the app level become vital for to avoid unauthorized access.

Because SDP software was made expressly to handle hybrid- and multi-cloud environments and never gives a blanket nod of trust to all users, whether it's someone within the network or a third party, this perimeter-less "Zero-Trust" approach is poised to gain steam and ultimately overtake VPN as part of APM security in 2020. With platforms like RasPi and the growing ubiquity of IoT devices, it only makes sense to require verification before connection is authorized, not simply allowing a "blank check" approach to accessing data and systems. The discrete, encrypted SDP network essentially eliminates the attack surface and renders all IT assets invisible unless a user is IT-verified to see them, and inaccessible until IT-authorized to access them.

RasPi is a major data security challenge that IT professionals must consider in conjunction with application performance management, but there are other considerations as well. Cloud-based disaster recovery (DR) is also gaining wide acceptance throughout diverse industries, replacing yesterday's VPN-reliant DR strategy in many organizations. This approach allows companies to ensure business continuity and protect data while keeping costs and complexities down. As explained above, VPN simply wasn't designed for today's cloud-based work environment, so SDP's time has come.

We don't need a crystal ball to see that in 2020, enterprises that care about the security side of APM in relation to IoT will secure their RasPi platforms with SDP software. Also this year, look for a disruption in the cloud DR market via the emergence of DR software that wraps SDP security into the package, avoiding VPN costs and management complexities.

2020 has long been on the horizon as a time of technological innovation that until now could only be imagined. We're finally here — the future is now. With the best of what technology has to offer through SDP and its impenetrable perimeters, application performance management can become as secure as it needs to be in a totally connected world.

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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 ...

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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 ...

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APM Will Become More Secure in 2020 with Perimeters That Are Truly Impenetrable

Don Boxley

Ensuring reliable data security is a critical part of Application Performance Management (APM) — or at least it should be. The fact is, as a result of our need for speed, increasingly development teams are confronted with the problem of releasing applications faster without compromising security.

There are many ways that this may play out, so let's take Raspberry Pi (RasPi) as one example. This popular platform is well known for its role in Internet of Things (IoT) platforms and applications. This is because RasPi's combination of cost effectiveness, versatility and simplicity make it an attractive solution for small businesses and large enterprises, experts and novices alike — especially those looking to develop and roll-out a solution as quickly and affordably as possible. This tiny computing tool is behind a growing number of IoT devices and applications that are increasing worldwide connection opportunities — but are in tandem increasing how easy it is for hackers to compromise systems that rely on a traditional network perimeter, such as a virtual private network (VPN), and thus aren't properly secured.

2020 will be the year when APM begins to integrate a higher level of security

This is why 2020 will be the year when APM begins to integrate a higher level of security, which can best be achieved through software defined perimeters (SDP). This new class of data security can be effectively paired with RasPi, resulting in IoT networks that are highly secure, easy to manage and quite affordable. SDP's primary benefit is in better protecting intra-device data flows by providing application-level segmentation, rather than automatically granting network-level access to every user. This change in access helps to reverse the security problems caused by conventional perimeter security, which is prone to attack due to its large potential network-wide attack surface.

VPNs do work well in certain situations, but only those they were designed to handle. Since VPNs and other traditional perimeter security solutions weren't designed for the cloud-based world in which we now operate — a world that can only be considered "perimeter-less" today — SDP solutions that isolate and protect data at the app level become vital for to avoid unauthorized access.

Because SDP software was made expressly to handle hybrid- and multi-cloud environments and never gives a blanket nod of trust to all users, whether it's someone within the network or a third party, this perimeter-less "Zero-Trust" approach is poised to gain steam and ultimately overtake VPN as part of APM security in 2020. With platforms like RasPi and the growing ubiquity of IoT devices, it only makes sense to require verification before connection is authorized, not simply allowing a "blank check" approach to accessing data and systems. The discrete, encrypted SDP network essentially eliminates the attack surface and renders all IT assets invisible unless a user is IT-verified to see them, and inaccessible until IT-authorized to access them.

RasPi is a major data security challenge that IT professionals must consider in conjunction with application performance management, but there are other considerations as well. Cloud-based disaster recovery (DR) is also gaining wide acceptance throughout diverse industries, replacing yesterday's VPN-reliant DR strategy in many organizations. This approach allows companies to ensure business continuity and protect data while keeping costs and complexities down. As explained above, VPN simply wasn't designed for today's cloud-based work environment, so SDP's time has come.

We don't need a crystal ball to see that in 2020, enterprises that care about the security side of APM in relation to IoT will secure their RasPi platforms with SDP software. Also this year, look for a disruption in the cloud DR market via the emergence of DR software that wraps SDP security into the package, avoiding VPN costs and management complexities.

2020 has long been on the horizon as a time of technological innovation that until now could only be imagined. We're finally here — the future is now. With the best of what technology has to offer through SDP and its impenetrable perimeters, application performance management can become as secure as it needs to be in a totally connected world.

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 ...