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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

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

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2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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