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To integrate StatsD and New Relic with your monitoring system, please reach out to MetricFire. Book a demo with the MetricFire team to discuss integrating StatsD and New Relic 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.
New Relic is a monitoring tool that can deliver useful insights about both past and real-time reliability and performance of applications. When you use this service to make sure your web or mobile app is working properly, you’ll get access to the information you need to improve app performance. Not only is New Relic compatible with all programming languages and easy to use to improve your app from anywhere, but it’s also simple to install. In fact, it takes only minutes to get it up and running so you can start getting insights today.
Some examples of the information you’ll get from New Relic include page load times, errors, browser usage, flow of web transactions, and more. When you view your dashboard, you’ll be able to see your app’s performance from the point of view of users, making it easy to detect and fix any issues right away. So if you want transparency into how your app is performing — either in real-time or historically — New Relic can help.
When you implement performance monitoring with New Relic, you can import all your data to a single dashboard of observability with one UI to make it easier to keep track of. Once you start monitoring performance with this tool, it can alert you to potential issues before they develop into major problems that users will notice. These features make monitoring and troubleshooting your app seamless for your team.
Best of all, New Relic integrates with popular tools like MetricFire. When you use these two tools together, you get constant monitoring of your app as MetricFire pulls your metrics for easy viewing on a custom dashboard, complete with alerts. This way, you get as much functionality as you need to ensure your app runs smoothly.
To integrate StatsD and New Relic with your monitoring system, sign up for a free trial with MetricFire. Talk with the MetricFire team about how to integrate StatsD and New Relic and get StatsD and New Relic 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
