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To integrate StatsD and Pingdom with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating StatsD and Pingdom and how that can support your monitoring system.
StatsD is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers. StatsD sends this information over UDP or TCP from your server or network to your monitoring server. In most cases, your StatsD will send aggregates to one or more pluggable backend services (e.g., Graphite).
StatsD is considered a “collector” in the monitoring world. It’s key job is to find and pull the metrics from your systems, and then push them to a monitoring server. However, it doesn’t store, aggregate, visualize or alert on any of your metrics. StatsD is intended for only one use-case: collecting.
The key benefit of using StatsD is the customizability. Unlike standard Agents, you can tailor StatsD to do exactly what you want. You can map out hundreds of metrics, give the metrics customized names, and have them sent into your monitoring backend.
Typically, StatsD pairs with Graphite as the monitoring backend. The primary reason for this is that Graphite does not come with its own collector.
However, StatsD is also often used to pull metrics in unique or challenging cases, when something like a typical monitoring agent, or Prometheus’ built-in metrics scraping tool isn’t able to collect what you’re looking for. For example, StatsD is often used for monitoring Python web apps with Prometheus.
StatsD can be used to pull metrics from every part of the service that is running, and enables this data to be easily summed to get a clear picture of what your data is doing.
StatsD is also used to combine metrics from multiple sources into one location, such as pulling Graphite metrics into Prometheus.
At MetricFire, you can integrate with StatsD using MetricFire’s StatsD Add-on. You can automatically pull your StatsD metrics into our monitoring platform, and see your StatsD metrics alongside your AWS and Graphite monitoring.
Pingdom is a monitoring system that uses both synthetic and real user monitoring to deliver enhanced app and website troubleshooting.
Pingdom's synthetic monitoring allows you to simulate visitor interaction with your website or app to spot app errors or website failures before your users do. You can monitor site uptime from over a hundred locations worldwide or troubleshoot your website speed and identify webpage issues. You can also test user transactions such as shopping carts, logins, registrations, and even URL hijacking.
Pingdom's real-time user monitoring allows you to monitor how your users interact with your website or app. Pingdom's real user monitoring (RUM) is fully scalable and intuitive. Learn how your users experience your site based on device, location, and browser. Ensure you meet your SLAs or KPIs by setting your own goals and monitoring your performance. Record and compare user metrics over time to see how your website performs over weeks, months, or years.
Digital marketers can use Pingdom's synthetic monitoring to test new campaigns and ensure their users have the best experience. They can use Pingdom's real-time user monitoring to review how different user experience aspects, such as browser type or device, affect sales.
Web developers can test for website or app performance and spot defects while updates are in development. Web host providers can monitor performance in real-time to ensure client uptime. IT/Web Ops can use synthetic monitoring to quickly identify bottlenecks and spot backend issues with Pingdom's real-time user monitoring.
With MetricFire, you can amplify Pingdom's synthetic and real-time user monitoring. By integrating Pingdom with the MetricFire platform, you can display your metrics on aesthetically pleasing dashboards. With MetricFire, you can quickly understand complex websites at a glance or compare your Pingdom data with other monitoring systems.
To integrate StatsD and Pingdom with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate StatsD and Pingdom and get StatsD and Pingdom interacting with your MetricFire dashboards directly.
MetricFire is a full-scale platform that provides infrastructure, system, and application monitoring using a suite of open-source monitoring tools. We enable you to use Hosted Graphite and aesthetic custom dashboards to visualize your metrics so you can understand what is happening.
MetricFire offers users a complete ecosystem of end-to-end infrastructure monitoring, comprised of popular open-source monitoring software services: Graphite and popular dashboards. Plugins for many other open-source projects are preconfigured, such as StatsD, collectd, and Kubernetes. You get all these within a hosted environment as a single product. Not only does MetricFire fit well into the infrastructure monitoring use-case, such as network monitoring and server monitoring, but we also do application monitoring and business intelligence.
Through this hosted environment, MetricFire boosts the unique features of open-source projects to give you more functionality than the original products. Below are some of the MetricFire features at a glance:
The key thing to remember is that Hosted Graphite by MetricFire is more than just Graphite. Our Hosted Graphite product actually adds data dimensionality and better data storage.
The benefits of MetricFire are:
“We now have over ten times the amount of metrics we started with, and on different accounts. One of the great things about MetricFire is that scaling to support this increase has been hassle-free, requiring no additional work on our side.”
“Building and managing an on-premise installation at this scale would require a lot of engineer time, especially in the first year...we use this engineering time to work on initiatives closer to our core business”
“There’s complete transparency with everything MetricFire do which means we can accurately predict what we’ll be spending and comfortably keep within our budget.”
"Every time I have a question, I get an answer from support after just a couple of hours. Their technical knowledge is excellent.”
In this article, we’ll discuss what can go wrong with our machine-learning model after... Continue Reading
