Seven Tips for Optimizing Network Performance - Part 2
August 11, 2021

Jay Botelho
LiveAction

Share this

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.

Jay Botelho is Senior Director of Product Management at LiveAction
Share this

The Latest

November 21, 2024

Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...

November 20, 2024

New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...

November 19, 2024

Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...

November 18, 2024

SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...

November 14, 2024

Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...

November 13, 2024

AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...

November 12, 2024

If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...

November 08, 2024

In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...

November 07, 2024

On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...

November 06, 2024

Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...