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One Way to Improve Hospital Application Performance

Keith Bromley

IT organizations are constantly trying to optimize operations and troubleshooting activities and for good reason. Once established, end users' perception of "slowness" can be hard to get rid of. According to research that Enterprise Management Associates (EMA) performed in late 2016, 41% of organizations surveyed spend more than 50% of their time responding to network and application performance problems.

This is obviously a large source of time and energy. It can also be an unwanted high-profile activity. Let's look at one example for the medical industry. Networked applications, such as electronic medical records (EMR), are vital for hospitals to provide outstanding service to their patients and physicians. These applications enable 24x7 application transaction monitoring, packet storage, and network analysis, while providing integrated software add-ons for dependency mapping, SNMP reporting, database monitoring, and pre-deployment application testing.

However, a networking team can often not be aware of slow response times on the remotely hosted EMR application until a physician or someone else calls in to complain. Once the problem is identified, it takes time to get troubleshooting equipment into place to sort out if the root cause of the issue is the application or the network.

A simple solution to the problem is to add taps and network packet brokers (NPBs). Taps can be inserted anywhere in the network, They make a complete copy of all traffic between the network data flow and your monitoring tools (or NPB) to improve the quality of monitoring data and time to data acquisition. Once the tap is installed into the network, it is a permanent passive device that gives you constant and consistent access to your critical monitoring data. This means that in most cases, you don't have to ask the Change Board for permission to touch the network again. You touch it once to install the tap, and then you are done.

Next, you will want to deploy a NPB between those taps and the security and monitoring tools to optimize the data sent to the tools. You can plug in (as well as unplug) whatever tools you want into the NPB with no impact to the network. With the NPB, you can perform data filtering, deduplication, packet slicing, header stripping, and many other functions to optimize the data before it is sent to your application performance management (APM) tools. It is not uncommon for 50% or more of the monitoring traffic to be duplicate packets, especially if you are pulling data from a SPAN port (instead of a tap) or have overlapping data taps in your architecture. Duplicate packets are bad because they can decrease the processing efficiency of your APM tool. It can also lead to less available on-board storage capacity for useful packet data (essential for "back in time" analysis).

Just by implementing taps and NPBs, it is possible to reduce your mean time to repair (MTTR) by up to 80%. A significant portion of that time reduction comes from the reduction (and probable elimination) of Change Board approvals.

In the end, some of the benefits of this type of monitoring architecture include:

■ Complete network traffic visibility for application performance analysis

■ Faster troubleshooting that reduces problem isolation from days to hours

■ Proactive observation and resolution of issues before they become problems

■ Improvements in the efficiency of APM system by removing duplicate packets

■ The elimination of interference with other department's network probes thanks to SPAN and tap sharing

■ Easy access to data to perform application performance trending

■ A reduction in your MTTR and other key performance indicators — due to focused root cause analysis

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One Way to Improve Hospital Application Performance

Keith Bromley

IT organizations are constantly trying to optimize operations and troubleshooting activities and for good reason. Once established, end users' perception of "slowness" can be hard to get rid of. According to research that Enterprise Management Associates (EMA) performed in late 2016, 41% of organizations surveyed spend more than 50% of their time responding to network and application performance problems.

This is obviously a large source of time and energy. It can also be an unwanted high-profile activity. Let's look at one example for the medical industry. Networked applications, such as electronic medical records (EMR), are vital for hospitals to provide outstanding service to their patients and physicians. These applications enable 24x7 application transaction monitoring, packet storage, and network analysis, while providing integrated software add-ons for dependency mapping, SNMP reporting, database monitoring, and pre-deployment application testing.

However, a networking team can often not be aware of slow response times on the remotely hosted EMR application until a physician or someone else calls in to complain. Once the problem is identified, it takes time to get troubleshooting equipment into place to sort out if the root cause of the issue is the application or the network.

A simple solution to the problem is to add taps and network packet brokers (NPBs). Taps can be inserted anywhere in the network, They make a complete copy of all traffic between the network data flow and your monitoring tools (or NPB) to improve the quality of monitoring data and time to data acquisition. Once the tap is installed into the network, it is a permanent passive device that gives you constant and consistent access to your critical monitoring data. This means that in most cases, you don't have to ask the Change Board for permission to touch the network again. You touch it once to install the tap, and then you are done.

Next, you will want to deploy a NPB between those taps and the security and monitoring tools to optimize the data sent to the tools. You can plug in (as well as unplug) whatever tools you want into the NPB with no impact to the network. With the NPB, you can perform data filtering, deduplication, packet slicing, header stripping, and many other functions to optimize the data before it is sent to your application performance management (APM) tools. It is not uncommon for 50% or more of the monitoring traffic to be duplicate packets, especially if you are pulling data from a SPAN port (instead of a tap) or have overlapping data taps in your architecture. Duplicate packets are bad because they can decrease the processing efficiency of your APM tool. It can also lead to less available on-board storage capacity for useful packet data (essential for "back in time" analysis).

Just by implementing taps and NPBs, it is possible to reduce your mean time to repair (MTTR) by up to 80%. A significant portion of that time reduction comes from the reduction (and probable elimination) of Change Board approvals.

In the end, some of the benefits of this type of monitoring architecture include:

■ Complete network traffic visibility for application performance analysis

■ Faster troubleshooting that reduces problem isolation from days to hours

■ Proactive observation and resolution of issues before they become problems

■ Improvements in the efficiency of APM system by removing duplicate packets

■ The elimination of interference with other department's network probes thanks to SPAN and tap sharing

■ Easy access to data to perform application performance trending

■ A reduction in your MTTR and other key performance indicators — due to focused root cause analysis

Hot Topics

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

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