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It's Not Downtime We Should be Worried About - It's Uptime

Ivar Sagemo

Here's an eight-letter word, twice as bad as any four-letter word, that no business leader wants to hear: downtime. Today's businesses are far more dependent on IT services than ever, and that's true whether you're talking about internal IT services (like ERP) used to drive strategic operations, or external IT services used to satisfy client and customer demand.

Among the more daunting long-term potential consequences of downtime to the organization are these:

• Lost revenues because business couldn't be transacted. A recent Ponemon study tells us the average cost of downtime for US-based organizations is a stunning $5600/minute.

• Diminished brand strength, because the company is seen as unreliable. The same study suggests the average length of downtime was 90 minutes, leading to roughly $500K of costs per incident.

• Evaporating market share, because unhappy customers go to competitors.

Quite a mess in short. And it's a mess that's rapidly getting bigger. Aberdeen Group found that between 2010 and 2012, the cost per hour of downtime climbed an average of 65%!

Now, all of this is obvious in my own area of application performance monitoring (APM), and while downtime is a problem, there is a bigger issue, more subtle lurking just beneath the surface. When we believe everything is running smoothly but don't know something is wrong, that’s when the most damage happens.

For instance, suppose a BizTalk-based service is up and running in a holistic sense, but operating in a subtly inconsistent manner — difficult to detect — that leads to lost transactions from time to time. By this I mean occasionally lost e-mails, lost database entries, lost purchase orders, etc. Time spent by customers resending email and clients waiting or employees spending time looking for an invoice that has not come through – all of these cause more loss in productivity and reputation over a longer period of time.

According to Pricewaterhouse Coopers, the average organization, spends $120 searching for a lost document and wastes 25 hours recreating each lost document.* But what we don't know is how much productivity is lost through not knowing when a problem exists, searching for a file that is not lost at all. Waiting on document resends, searching for "missing" invoices or customer relationships that need to be repaired due to an apparent miscommunication because information is not flowing smoothly in a system all impact company efficiency and costs.

Application performance, and service uptime, can be affected by myriad factors — some as subtle as a gradual shortage of key computational resources. That's why it's important to find a way to granularly monitor your system. To have control and visibility over the problems that are happening so you can decide which ones to tackle is key.

Over time, I think we're going to see that kind of granular insight play a larger and larger role in APM as a field. But in the meantime, it's important to have a clear view of the information that flows throughout your organization so you can see any problem lurking out of sight.

Ivar Sagemo is CEO of AIMS Innovation.

Related Links:

www.aimsinnovation.com

* DocuSense Blog: How Much are Lost Documents Costing You?

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It's Not Downtime We Should be Worried About - It's Uptime

Ivar Sagemo

Here's an eight-letter word, twice as bad as any four-letter word, that no business leader wants to hear: downtime. Today's businesses are far more dependent on IT services than ever, and that's true whether you're talking about internal IT services (like ERP) used to drive strategic operations, or external IT services used to satisfy client and customer demand.

Among the more daunting long-term potential consequences of downtime to the organization are these:

• Lost revenues because business couldn't be transacted. A recent Ponemon study tells us the average cost of downtime for US-based organizations is a stunning $5600/minute.

• Diminished brand strength, because the company is seen as unreliable. The same study suggests the average length of downtime was 90 minutes, leading to roughly $500K of costs per incident.

• Evaporating market share, because unhappy customers go to competitors.

Quite a mess in short. And it's a mess that's rapidly getting bigger. Aberdeen Group found that between 2010 and 2012, the cost per hour of downtime climbed an average of 65%!

Now, all of this is obvious in my own area of application performance monitoring (APM), and while downtime is a problem, there is a bigger issue, more subtle lurking just beneath the surface. When we believe everything is running smoothly but don't know something is wrong, that’s when the most damage happens.

For instance, suppose a BizTalk-based service is up and running in a holistic sense, but operating in a subtly inconsistent manner — difficult to detect — that leads to lost transactions from time to time. By this I mean occasionally lost e-mails, lost database entries, lost purchase orders, etc. Time spent by customers resending email and clients waiting or employees spending time looking for an invoice that has not come through – all of these cause more loss in productivity and reputation over a longer period of time.

According to Pricewaterhouse Coopers, the average organization, spends $120 searching for a lost document and wastes 25 hours recreating each lost document.* But what we don't know is how much productivity is lost through not knowing when a problem exists, searching for a file that is not lost at all. Waiting on document resends, searching for "missing" invoices or customer relationships that need to be repaired due to an apparent miscommunication because information is not flowing smoothly in a system all impact company efficiency and costs.

Application performance, and service uptime, can be affected by myriad factors — some as subtle as a gradual shortage of key computational resources. That's why it's important to find a way to granularly monitor your system. To have control and visibility over the problems that are happening so you can decide which ones to tackle is key.

Over time, I think we're going to see that kind of granular insight play a larger and larger role in APM as a field. But in the meantime, it's important to have a clear view of the information that flows throughout your organization so you can see any problem lurking out of sight.

Ivar Sagemo is CEO of AIMS Innovation.

Related Links:

www.aimsinnovation.com

* DocuSense Blog: How Much are Lost Documents Costing You?

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AI is usually talked about as a software tool, but it also depends heavily on the network behind it. Whether a company is using AI for chatbots, automation, monitoring, analytics, or employee support, all of that information has to move across the network in a reliable and secure way. That means AI is not just an application decision. It is also an infrastructure decision. Before organizations rush into AI, they should ask a simple question: Is our network ready to support it? ...

Enterprise AI often lacks governed access to where business processes actually execute. Without that access, AI agents may be able to reason, but they cannot operate reliably across enterprise workflows. For AI agents to effectively carry out workflows, they will require integration-layer context and controls. Organizations can implement these prerequisites by providing AI with managed access to the middleware layer ...

Enterprise networks rarely behave the same way for very long. A routing adjustment in one region may unexpectedly alter application performance in another. A cloud migration may introduce hidden dependencies that go unnoticed until an outage occurs. All the while, the network is managed by several different teams, each of whom use different tool sets — and as a result, have different views of the network ... There’s usually an engineer who remembers why traffic fails over a certain way between sites, or which transparent firewall was added where. The problem is that human memory cannot scale alongside enterprise-scale networks ...

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In MEAN TIME TO INSIGHT Episode 27, Shamus McGillicuddy, EMA VP of Research, Network Infrastructure and Operations, and Parker Hathcock, EMA Research Director covering IT Service/Operations (ServiceOps), discuss observability unification in modern IT operations ... 

Virtual Private Networks became a cornerstone of enterprise security at a time when corporate infrastructure looked very different from today ... For years, this model worked well. But the architecture behind VPNs assumed a centralized corporate environment—one where the network itself was the hub of activity. In a cloud — first world, that assumption no longer holds ...

Website outages get resolved just as fast in August as they do in November. I went looking for the opposite: the summer slowdown everyone assumes is there once the people who fix things are away. It isn't in the data we collected, covering 1.8 million confirmed outages across tens of thousands of websites ...

This year, many of the cloud infrastructure contracts signed in the early days of the AI boom will come up for renewal. As the year goes on, I anticipate we'll see a significant amount of cloud vendor swapouts and multi-cloud adoption, and the reason isn't just GPU depreciation. It's because they're tired of their current cloud providers ...

There's a moment the many observability teams have experienced days into bringing a new service into production: you realize that the vendor's claims of "intelligent" behavior included a large serving of hype. Their dashboards look nice until they don't, the failure modes are a black box, and no one on the team can confidently explain why the system did what it did at 2 am. Agentic AI is about to force every Ops team to relive that moment at web-scale until they start treating these systems as the dependencies they actually are ...