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Application Performance Problems? It's Not Always the Network!

A primer on how to win the application versus network argument
Don Thomas Jacob

“It must be the network!” Network administrators hear this phrase all too often when an application is slow, data transfer is not fast enough or VoIP calls drop. Now, of course, the network is the underlying infrastructure all of these services run on, so if something does not work as expected it’s understandable that users more often than not place the blame on the network.

And sometimes that blame is rightfully placed on the network. It may indeed be that there isn’t enough bandwidth provisioned for the WAN, non-business traffic is hogging bandwidth, there are issues with high latency or there is incorrect or no QoS priority. Route flaps, the health of network devices or configuration mistakes can all also lead to application performance problems and are related to the network. Despite these potential problem areas, it is certainly not always the network that is to blame. The database, hardware and operating system are also common culprits. And believe it or not, a major cause of poor application performance can be the application itself.

Application performance issues stemming from the application can be caused by a number of different factors related to the design of the application and otherwise. For example, there could be too many elements or too much content in the application; it could be too chatty, making multiple connections for each user request; or it could be slow and long-running queries. Not to mention memory leak, thread lock or a bad database schema that is slowing down data retrieval. As a network administrator, though, try telling this to the application developer or systems administrator and more often than not you’ll find yourself engaged in an epic battle.

Sure, there are half as many reasons why the source of the issue could be the network, but that argument won’t fly. You’re going to have to prove it. Here a few of the common accusations developers and SysAdmins make and how you can be prepared to refute them:

“Hey, the network is just too slow”

Response: You should power up your network monitoring tool and check the health and status of your network devices. SNMP tools can provide a lot of useful information. For example, when monitoring your routers and switches with SNMP, you can see if there were route flaps, packet loss, an increase in RTT and latency, and if the device CPU or memory utilization is high.

“Maybe your WAN link can’t handle my app”

Response: Cisco IPSLA can send synthetic packets and report on the capability or the readiness of the network link to handle IP traffic with TCP and UDP protocols or report specifically about VoIP performance, RTT, etc. If the synthetic packets generated by Cisco IPSLA that match the application protocol can be handled, they should also be able to handle the actual application traffic.

“There’s just not enough bandwidth”

Response: There’s a tool for that too! NetFlow data from routing and switching devices can report on bandwidth usage telling you how much of your WAN link is being utilized, which applications are using it, what end-points are involved and even report on the ToS priority of each IP conversation.

“It’s got to be something to do with your QoS priorities”

Response: Using a monitoring tool that supports Cisco CBQoS reporting, you can validate the performance of your QoS policies — pre and post policy statistics, too much buffer and how much traffic is being dropped for each QoS policy and class.

If your QoS policies are working as expected, it’s time to tell your foe, “Nope, try again!”

“Well, it might not be any of those things, but it’s still definitely the network”

Response: When all else fails, the answer is deep packet inspection (DPI). The visibility that DPI provides is virtually unlimited throughput information, out of order segment details, handshake details, re-transmissions and almost any other information you will need to prove once and for all that it’s not the network, and also find out the actual cause for poor application performance so you can really rub it in.

In conclusion, with the right technology and tools, network administrators can prove that the network is not at fault, but equally important they can be proactive and ensure small, routine network issues don’t become major headaches to begin with.

Don Thomas Jacob is a Head Geek at SolarWinds.

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Application Performance Problems? It's Not Always the Network!

A primer on how to win the application versus network argument
Don Thomas Jacob

“It must be the network!” Network administrators hear this phrase all too often when an application is slow, data transfer is not fast enough or VoIP calls drop. Now, of course, the network is the underlying infrastructure all of these services run on, so if something does not work as expected it’s understandable that users more often than not place the blame on the network.

And sometimes that blame is rightfully placed on the network. It may indeed be that there isn’t enough bandwidth provisioned for the WAN, non-business traffic is hogging bandwidth, there are issues with high latency or there is incorrect or no QoS priority. Route flaps, the health of network devices or configuration mistakes can all also lead to application performance problems and are related to the network. Despite these potential problem areas, it is certainly not always the network that is to blame. The database, hardware and operating system are also common culprits. And believe it or not, a major cause of poor application performance can be the application itself.

Application performance issues stemming from the application can be caused by a number of different factors related to the design of the application and otherwise. For example, there could be too many elements or too much content in the application; it could be too chatty, making multiple connections for each user request; or it could be slow and long-running queries. Not to mention memory leak, thread lock or a bad database schema that is slowing down data retrieval. As a network administrator, though, try telling this to the application developer or systems administrator and more often than not you’ll find yourself engaged in an epic battle.

Sure, there are half as many reasons why the source of the issue could be the network, but that argument won’t fly. You’re going to have to prove it. Here a few of the common accusations developers and SysAdmins make and how you can be prepared to refute them:

“Hey, the network is just too slow”

Response: You should power up your network monitoring tool and check the health and status of your network devices. SNMP tools can provide a lot of useful information. For example, when monitoring your routers and switches with SNMP, you can see if there were route flaps, packet loss, an increase in RTT and latency, and if the device CPU or memory utilization is high.

“Maybe your WAN link can’t handle my app”

Response: Cisco IPSLA can send synthetic packets and report on the capability or the readiness of the network link to handle IP traffic with TCP and UDP protocols or report specifically about VoIP performance, RTT, etc. If the synthetic packets generated by Cisco IPSLA that match the application protocol can be handled, they should also be able to handle the actual application traffic.

“There’s just not enough bandwidth”

Response: There’s a tool for that too! NetFlow data from routing and switching devices can report on bandwidth usage telling you how much of your WAN link is being utilized, which applications are using it, what end-points are involved and even report on the ToS priority of each IP conversation.

“It’s got to be something to do with your QoS priorities”

Response: Using a monitoring tool that supports Cisco CBQoS reporting, you can validate the performance of your QoS policies — pre and post policy statistics, too much buffer and how much traffic is being dropped for each QoS policy and class.

If your QoS policies are working as expected, it’s time to tell your foe, “Nope, try again!”

“Well, it might not be any of those things, but it’s still definitely the network”

Response: When all else fails, the answer is deep packet inspection (DPI). The visibility that DPI provides is virtually unlimited throughput information, out of order segment details, handshake details, re-transmissions and almost any other information you will need to prove once and for all that it’s not the network, and also find out the actual cause for poor application performance so you can really rub it in.

In conclusion, with the right technology and tools, network administrators can prove that the network is not at fault, but equally important they can be proactive and ensure small, routine network issues don’t become major headaches to begin with.

Don Thomas Jacob is a Head Geek at SolarWinds.

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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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