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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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Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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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

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.