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Seven Tips for Optimizing Network Performance - Part 2

Jay Botelho

Despite careful planning and monitoring, users still experience stuttering video calls, slow downloads, and dropped calls — all symptoms of common network problems. That's why proactive monitoring and optimization of the network is critical to keeping business operations running optimally. To help, let's look at some more network performance management tips that can keep your team ahead of the curve.

Start with Seven Tips for Optimizing Network Performance - Part 1

4. Update Software and Firmware

This is obviously critical for security, but when it comes to network performance, older software and firmware can also be a big problem. No one knows better than the manufacturer about the strengths, and weaknesses, of their products. Most products today, whether hardware or software, are essentially driven by the software and firmware that they run. Even though it may seem like the product you're using is stable, the "if it's not broken don't fix it" rule is not the optimal choice. Manufacturers know when there are underlying problems in their products that you may not see or may not be experiencing right now.

5. Establish a View of Network Topology

It's every network engineer's dream: a clear and concise dashboard that depicts the network topology from end to end. It sounds simple, but of course it's not. Network topologies take different forms, depending on the perspective of the user. But many agree that at least one depiction (that of each flow traversing the network, from client to server and back) is extremely useful for visualizing and troubleshooting network performance issues. The ability of solutions to provide this visualization is being taxed by many new technologies, including SD-WAN and cloud.

Make sure the network monitoring and visualization solution you choose can trace flows across and within all these different technologies. This is especially true for cloud since so much processing has already been pushed to the cloud, and the cloud infrastructure is very dynamic. It's imperative to track your network traffic not only to your cloud providers, but inside the cloud infrastructure whenever possible to retain the same level of troubleshooting you had when you hosted your applications in your own data center.

6. Implement Bandwidth-Friendly Policies

From the network engineering perspective these policies are bandwidth-friendly, but users may not see it the same way. Bandwidth is a commodity, and with most commodities users will use as much as they can if they see the commodity as free. And your corporate infrastructure users see bandwidth as being free and unlimited, even though we know that is far from the case. From a corporate perspective, bandwidth-friendly policies are those that allow business traffic to flow unimpeded on your network, but limit or perhaps even block traffic that is not essential.

Fortunately, there are ways to limit non-essential business traffic without blocking it entirely, keeping the user revolt at bay. This can be done through QoS settings, using traffic-shaping technologies, or taking advantage of SD-WAN features, assuming SD-WAN is already in use. The choice depends on the degree of control needed.

7. Use Automation When Possible

Automation is the holy grail in network performance management and includes finding a solution that monitors your network 24x7, detecting every problem before it happens, and adjusting the network to prevent the problem. But every network is different, and every situation is different, making true automation one of the most difficult areas to address in network management, never mind the blind trust required. But with the strides made in end-to-end network monitoring, along with the predictive capabilities of AI/ML solutions for detecting problems, the industry is moving forward. We can't expect automation in every area, and probably wouldn't trust automation in every area, so the best approach is to start small with technologies you can trust.

For example, relying on built-in automation between various solutions used in your network monitoring and management process. More specifically, integrating your network monitoring and trouble ticket systems such that critical alerts from network monitoring opens trouble tickets and begins feeding the system with key data so that network engineers can hit the ground running when they begin working on the issue.

Optimizing the network to ensure it meets the needs of users is becoming more and more complex. But the good news is that new tools and technologies are making it easier than ever to automate functionality, visualize performance and isolate problems before they become major issues for the business (not to mention providing tools for planning). Consider these tips when strategizing about your network monitoring and management to stay one step ahead of network problems.

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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 ...

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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 ...

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If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...

Seven Tips for Optimizing Network Performance - Part 2

Jay Botelho

Despite careful planning and monitoring, users still experience stuttering video calls, slow downloads, and dropped calls — all symptoms of common network problems. That's why proactive monitoring and optimization of the network is critical to keeping business operations running optimally. To help, let's look at some more network performance management tips that can keep your team ahead of the curve.

Start with Seven Tips for Optimizing Network Performance - Part 1

4. Update Software and Firmware

This is obviously critical for security, but when it comes to network performance, older software and firmware can also be a big problem. No one knows better than the manufacturer about the strengths, and weaknesses, of their products. Most products today, whether hardware or software, are essentially driven by the software and firmware that they run. Even though it may seem like the product you're using is stable, the "if it's not broken don't fix it" rule is not the optimal choice. Manufacturers know when there are underlying problems in their products that you may not see or may not be experiencing right now.

5. Establish a View of Network Topology

It's every network engineer's dream: a clear and concise dashboard that depicts the network topology from end to end. It sounds simple, but of course it's not. Network topologies take different forms, depending on the perspective of the user. But many agree that at least one depiction (that of each flow traversing the network, from client to server and back) is extremely useful for visualizing and troubleshooting network performance issues. The ability of solutions to provide this visualization is being taxed by many new technologies, including SD-WAN and cloud.

Make sure the network monitoring and visualization solution you choose can trace flows across and within all these different technologies. This is especially true for cloud since so much processing has already been pushed to the cloud, and the cloud infrastructure is very dynamic. It's imperative to track your network traffic not only to your cloud providers, but inside the cloud infrastructure whenever possible to retain the same level of troubleshooting you had when you hosted your applications in your own data center.

6. Implement Bandwidth-Friendly Policies

From the network engineering perspective these policies are bandwidth-friendly, but users may not see it the same way. Bandwidth is a commodity, and with most commodities users will use as much as they can if they see the commodity as free. And your corporate infrastructure users see bandwidth as being free and unlimited, even though we know that is far from the case. From a corporate perspective, bandwidth-friendly policies are those that allow business traffic to flow unimpeded on your network, but limit or perhaps even block traffic that is not essential.

Fortunately, there are ways to limit non-essential business traffic without blocking it entirely, keeping the user revolt at bay. This can be done through QoS settings, using traffic-shaping technologies, or taking advantage of SD-WAN features, assuming SD-WAN is already in use. The choice depends on the degree of control needed.

7. Use Automation When Possible

Automation is the holy grail in network performance management and includes finding a solution that monitors your network 24x7, detecting every problem before it happens, and adjusting the network to prevent the problem. But every network is different, and every situation is different, making true automation one of the most difficult areas to address in network management, never mind the blind trust required. But with the strides made in end-to-end network monitoring, along with the predictive capabilities of AI/ML solutions for detecting problems, the industry is moving forward. We can't expect automation in every area, and probably wouldn't trust automation in every area, so the best approach is to start small with technologies you can trust.

For example, relying on built-in automation between various solutions used in your network monitoring and management process. More specifically, integrating your network monitoring and trouble ticket systems such that critical alerts from network monitoring opens trouble tickets and begins feeding the system with key data so that network engineers can hit the ground running when they begin working on the issue.

Optimizing the network to ensure it meets the needs of users is becoming more and more complex. But the good news is that new tools and technologies are making it easier than ever to automate functionality, visualize performance and isolate problems before they become major issues for the business (not to mention providing tools for planning). Consider these tips when strategizing about your network monitoring and management to stay one step ahead of network problems.

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 ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...