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Enhancing the Availability of Important but Non-Critical Applications

Cassius Rhue
SIOS Technology

For mission-critical applications, it's often easy to justify an investment in a solution designed to ensure that the application is available no less than 99.99% of the time — easy because the cost to the organization of that app being offline would quickly surpass the cost of a high availability (HA) solution. In a 2022 survey from ITIC, 44% of respondents from mid-sized and large enterprises said that a single hour of unexpected downtime could cost more than $1 million.

But not every application warrants the investment in an HA solution with redundant infrastructure spanning multiple data centers or cloud availability zones. Many of the applications in an organization fall into a category perhaps best described as important-but-non-critical applications. If these applications go offline, even for an extended period of time, they're not likely to impact your business to the tune of $1M per hour. But downtime may be costly in other ways. You may need to redirect IT resources from other projects to bring them back online. Your employee productivity and satisfaction may take a hit, leading to lower customer satisfaction. Your reputation may suffer.

So how can you reduce the risk of unexpected downtime without investing in an HA solution?

The answer actually has two parts. One is simple: constant vigilance, enabled through the use of application monitoring tools that monitor all aspects of the application execution environment — from the underlying characteristics of the hardware to the allocation of resources and the management of process threads. Because these tools are designed with application awareness, they can both identify conditions that are out of bounds for the application and ignore conditions that are, in fact, normal for the application, even though a monitoring solution that lacks application awareness might flag that condition as problematic.

The second part of the answer, though, is just as important: incorporate application-aware automation. There are any number of monitoring tools that can keep your IT personnel apprised of the performance of distinct aspects of the application stack. When these tools detect an issue, though, they typically send an alert to the IT team, which then needs to review the alert, determine what to do, and then perform some action to resolve the problem (if, in fact, the alert really does indicate a problem). If the application-aware monitoring tools were also able to respond — appropriately and automatically — to detected problems, then you could enhance the performance and reliability of these important-but-non-critical applications without placing any additional burdens on your IT team.

Such application-aware solutions for automated monitoring and maintenance of your important-but-non-critical systems are available. By monitoring for problems that might be minor in the near term but more problematic in the long term, they can proactively help you avoid application downtime. For example, they might detect and automatically restart an application service that is not performing as expected. If that doesn't improve the situation, the solution might restart the entire application (or reboot the entire server) — all without operator intervention. These tools can bring a problem to the attention of an operator — if it's a problem that the tool cannot resolve on its own — but because these tools are designed to be application aware and have been designed to execute an appropriate response automatically, they can proactively do the right thing without having to request an intervention from your IT personnel.

By remaining vigilant and monitoring all aspects of the application environment, these solutions can ensure that your important-but-non-critical applications remain accessible and operational at a much higher level of availability than you would otherwise achieve through a combination of hope and benign neglect. You won't have a guarantee of 99.99% availability as you would if you were running your applications on an HA infrastructure spanning multiple data centers or cloud availability zones, but for a fraction of the cost of an HA infrastructure you can enhance the availability of these applications in a way that is commensurate with their importance to your employees, customers, and reputation.

Cassius Rhue is VP of Customer Experience at SIOS Technology

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Enhancing the Availability of Important but Non-Critical Applications

Cassius Rhue
SIOS Technology

For mission-critical applications, it's often easy to justify an investment in a solution designed to ensure that the application is available no less than 99.99% of the time — easy because the cost to the organization of that app being offline would quickly surpass the cost of a high availability (HA) solution. In a 2022 survey from ITIC, 44% of respondents from mid-sized and large enterprises said that a single hour of unexpected downtime could cost more than $1 million.

But not every application warrants the investment in an HA solution with redundant infrastructure spanning multiple data centers or cloud availability zones. Many of the applications in an organization fall into a category perhaps best described as important-but-non-critical applications. If these applications go offline, even for an extended period of time, they're not likely to impact your business to the tune of $1M per hour. But downtime may be costly in other ways. You may need to redirect IT resources from other projects to bring them back online. Your employee productivity and satisfaction may take a hit, leading to lower customer satisfaction. Your reputation may suffer.

So how can you reduce the risk of unexpected downtime without investing in an HA solution?

The answer actually has two parts. One is simple: constant vigilance, enabled through the use of application monitoring tools that monitor all aspects of the application execution environment — from the underlying characteristics of the hardware to the allocation of resources and the management of process threads. Because these tools are designed with application awareness, they can both identify conditions that are out of bounds for the application and ignore conditions that are, in fact, normal for the application, even though a monitoring solution that lacks application awareness might flag that condition as problematic.

The second part of the answer, though, is just as important: incorporate application-aware automation. There are any number of monitoring tools that can keep your IT personnel apprised of the performance of distinct aspects of the application stack. When these tools detect an issue, though, they typically send an alert to the IT team, which then needs to review the alert, determine what to do, and then perform some action to resolve the problem (if, in fact, the alert really does indicate a problem). If the application-aware monitoring tools were also able to respond — appropriately and automatically — to detected problems, then you could enhance the performance and reliability of these important-but-non-critical applications without placing any additional burdens on your IT team.

Such application-aware solutions for automated monitoring and maintenance of your important-but-non-critical systems are available. By monitoring for problems that might be minor in the near term but more problematic in the long term, they can proactively help you avoid application downtime. For example, they might detect and automatically restart an application service that is not performing as expected. If that doesn't improve the situation, the solution might restart the entire application (or reboot the entire server) — all without operator intervention. These tools can bring a problem to the attention of an operator — if it's a problem that the tool cannot resolve on its own — but because these tools are designed to be application aware and have been designed to execute an appropriate response automatically, they can proactively do the right thing without having to request an intervention from your IT personnel.

By remaining vigilant and monitoring all aspects of the application environment, these solutions can ensure that your important-but-non-critical applications remain accessible and operational at a much higher level of availability than you would otherwise achieve through a combination of hope and benign neglect. You won't have a guarantee of 99.99% availability as you would if you were running your applications on an HA infrastructure spanning multiple data centers or cloud availability zones, but for a fraction of the cost of an HA infrastructure you can enhance the availability of these applications in a way that is commensurate with their importance to your employees, customers, and reputation.

Cassius Rhue is VP of Customer Experience at SIOS Technology

Hot Topics

The Latest

People want to be doing more engaging work, yet their day often gets overrun by addressing urgent IT tickets. But thanks to advances in AI "vibe coding," where a user describes what they want in plain English and the AI turns it into working code, IT teams can automate ticketing workflows and offload much of that work. Password resets that used to take 5 minutes per request now get resolved automatically ...

Governments and social platforms face an escalating challenge: hyperrealistic synthetic media now spreads faster than legacy moderation systems can react. From pandemic-related conspiracies to manipulated election content, disinformation has moved beyond "false text" into the realm of convincing audiovisual deception ...

Traditional monitoring often stops at uptime and server health without any integrated insights. Cross-platform observability covers not just infrastructure telemetry but also client-side behavior, distributed service interactions, and the contextual data that connects them. Emerging technologies like OpenTelemetry, eBPF, and AI-driven anomaly detection have made this vision more achievable, but only if organizations ground their observability strategy in well-defined pillars. Here are the five foundational pillars of cross-platform observability that modern engineering teams should focus on for seamless platform performance ...

For all the attention AI receives in corporate slide decks and strategic roadmaps, many businesses are struggling to translate that ambition into something that holds up at scale. At least, that's the picture that emerged from a recent Forrester study commissioned by Tines ...

From smart factories and autonomous vehicles to real-time analytics and intelligent building systems, the demand for instant, local data processing is exploding. To meet these needs, organizations are leaning into edge computing. The promise? Faster performance, reduced latency and less strain on centralized infrastructure. But there's a catch: Not every network is ready to support edge deployments ...

Every digital customer interaction, every cloud deployment, and every AI model depends on the same foundation: the ability to see, understand, and act on data in real time ... Recent data from Splunk confirms that 74% of the business leaders believe observability is essential to monitoring critical business processes, and 66% feel it's key to understanding user journeys. Because while the unknown is inevitable, observability makes it manageable. Let's explore why ...

Organizations that perform regular audits and assessments of AI system performance and compliance are over three times more likely to achieve high GenAI value than organizations that do not, according to a survey by Gartner ...

Kubernetes has become the backbone of cloud infrastructure, but it's also one of its biggest cost drivers. Recent research shows that 98% of senior IT leaders say Kubernetes now drives cloud spend, yet 91% still can't optimize it effectively. After years of adoption, most organizations have moved past discovery. They know container sprawl, idle resources and reactive scaling inflate costs. What they don't know is how to fix it ...

Artificial intelligence is no longer a future investment. It's already embedded in how we work — whether through copilots in productivity apps, real-time transcription tools in meetings, or machine learning models fueling analytics and personalization. But while enterprise adoption accelerates, there's one critical area many leaders have yet to examine: Can your network actually support AI at the speed your users expect? ...

The more technology businesses invest in, the more potential attack surfaces they have that can be exploited. Without the right continuity plans in place, the disruptions caused by these attacks can bring operations to a standstill and cause irreparable damage to an organization. It's essential to take the time now to ensure your business has the right tools, processes, and recovery initiatives in place to weather any type of IT disaster that comes up. Here are some effective strategies you can follow to achieve this ...