![]() Template naming actually gives you a lot of flexibility to create your own hierarchical naming conventions with as many levels as you need to keep your agents organized and identified. The result is a naming convention that allows you to differentiate between agents based on location and hostname: Using these templates, you can create a list of ten agents with the following resulting names: Template creation options for hierarchical naming.įor example, you can create three templates, one for each of three remote locations using the following naming conventions: You can then add various additional parameters such as machine name, IP address, or date and time of first connection to differentiate them, as shown below. For example, you can create a template using a name like “Office 1 – ” for all agents found at a particular location. When you create your template name, you can use hierarchical naming conventions to sort them into specific groupings based on your needs. What if you have several remote sites that you want to separate into different groupings, or if you have several customers you are monitoring, and you want to keep each customer’s accumulated data separate? That’s easy too. Once installed, the agent will begin sending information as configured on those preset targets. Link to automatically download agent software with preconfigured preset targets. Such a link will take you to a page like the following where you can install the agent on the platform of the device you want to monitor. You can preconfigure the preset targets you want to monitor of a particular agent template, and then share a PingPlotter link with local admins, users, or remote admins, to download and install the agent. An agent template creates an agent installer that can be used multiple times. It’s quite time-consuming to install as well as configure each individual agent. Let’s say you have 100 hosts you want to monitor. Installing a single agent in this manner is great, but what if you have many agents, or even several different groups of agents from different customers, or from different physical locations? What do you do then? Well, PingPlotter Cloud has several tricks that help you to simplify deployment: Mass installations You can also set up a series of alerts that are able to proactively notify you when and if something goes wrong. You can also dive deeper into the specific operation of particular endpoints, and even see, with a phenomenal level of detail, the performance of the network to specific destinations. The PingPlotter dashboard with a single agent. That information is collected, analyzed, and displayed on the dashboard where you can get a general overview of the operation and performance of the network. Once complete, continuous pings are sent to each hop, keeping a record of the network performance overtime for the entire path to the destination. Initially, for each target to be monitored, a traceroute is performed, recording all of the hops to reach a particular destination. The agent uses Ping and Traceroute, two tried, tested, and true utilities that leverage the ICMP protocol, to collect this network performance information. Once downloaded, it will register with the PingPlotter Cloud controller, from where you are able to collect data and parameterize the kind of data you want that agent to collect. ![]() How it worksĪll of the magic happens in the specialized agent software that is downloaded and installed onto each target end device. However, in this article, we’ll be examining their new cloud-based product. ![]() ![]() We already reviewed PingPlotter back in 2015. Those metrics are sent back to the cloud-based controller where they are collected, stored, analyzed, and visualized so that you can have both a real-time and historical view of the operation of your network. By installing an agent on a particular device, you can track various network performance metrics. PingPlotter Cloud is a cloud-based network monitoring platform that keeps track of network performance from the perspective of your Windows, Mac, and Linux-based endpoints. PingPlotter Cloud does just that, giving you an overview of the performance of your network from the point of view of your end devices. That “clear view” usually consists of a dashboard that gives us a high-level yet detailed look at the state of our network. As network engineers, we always want to have a clear view of the network. ![]()
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