> Use tools such as bandwidth monitors and traffic analysers to monitor bandwidth usage overtime and corresponding traffic chewing the bandwidth. > Additionally, most security and network devices are configurable to monitor and collect information on bandwidth consumption. > To forecast you can use online models that predict future usage. Optionally, use the simple correlation graph where a parttern is deduced based on previous consumptions collected during monitoring. Using these recorded consumptions a forecast can be made to predict future demands. With this information you can plan to optimise, increase and control bandwidth for optimal performance.

Utilize NetFlow, sFlow, or packet capture tools to gather detailed traffic insights. Integrate DPI (Deep Packet Inspection) to analyze application-specific traffic for a deeper understanding of network behavior.

To monitor bandwidth, I would first use built-in tools like Task Manager (Windows) or iftop (Linux) for real-time insight into traffic. PRTG Network Monitor, for example, allows me to identify specific devices or applications consuming excess bandwidth. Finally, I’d cross-check with my router’s admin panel and test internet speed using Speedtest.net to pinpoint the source of any slowdown.

firstly, iftop will be a great analysis and active tool for testing to pinpoint various services maxing the bandwidth especially during peak hours, this will allow future bandwidth upgrade estimates in the network. I will also employ enduser capping of bandwidth on layer3 to ensure business related use of available bandwidth is prioritised in the network.

Accurately forecasting bandwidth needs involves several steps: Traffic Analysis: Monitor and analyze current network usage to identify patterns and peak usage times. Use tools like network analyzers or bandwidth monitoring software to collect data on traffic loads and application usage. User and Application Needs: Assess the number of users and their application requirements. Consider both current and future needs, including any planned business expansions or new applications that might increase bandwidth demand. Historical Data: Examine historical usage data to understand trends and seasonal variations. This helps in predicting future demands based on past usage patterns.

I just boot up Extreme Analytics, Nagios/Zabbix, Wazuh (or some other tools setup before the incident analysing my network every step) and it will tell me where the problems is.

I would use monitoring tools to gather the bandwidth usage during peak business hours, then allocate bandwidth based on the data I gathered.

One effective strategy I've used for managing network bandwidth is setting up real-time monitoring tools that track traffic in detail. This allows you to identify peak usage times and quickly address any spikes. Stress testing the network with simulated heavy traffic has also been invaluable in identifying potential bottlenecks before they become a problem. Lastly, I always plan for future growth by allocating extra bandwidth for new applications or increased demand, ensuring we're not caught off guard as the business expands. This proactive approach keeps the network running smoothly, even during peak hours.

Understand the business's operations, requirements, and usage patterns. You can look at monitoring tools and eventually figure out the usage patterns, but knowing the business spikes the last 3 days of the month and the first 5 days of the new month can give you a clue where to focus and what to plan for.

Monitoring through tools, which can occupy the traffic to find out, Prioritize bandwidth allocation for critical applications and identify non-essential traffic that could be optimized or restricted.