Get Started with Datadog
The Datadog Blog
Etcd is a distributed key-value store produced by CoreOS that was purpose-built to manage configuration settings across clusters of Docker containers, machines, or both. By activating the etcd integration within Datadog [...]
Amazon's feature-rich Aurora database service is gaining in popularity. To keep your Aurora-backed applications running smoothly, it is important to understand and track performance metrics pertaining to query throughput, query latency, resource utilization, database connections, and more. This guide explains which of the literally hundreds of available Aurora metrics you should focus on.
Aurora users can access metrics from RDS (Relational Database Service) via Amazon CloudWatch, plus hundreds of additional metrics from the MySQL-compatible database engine itself. Each metric type gives you different insights into Aurora performance; ideally both RDS and engine metrics should be collected for a comprehensive view. This post will explain how to collect both metric types.
Monitoring Amazon Aurora in production means having access to all the metrics you need, both from your database and from the applications that depend on it. With Datadog you can easily connect to Aurora to collect metrics at high resolution, display them on our out-of-the-box Aurora dashboard, and correlate your database metrics with the rest of your infrastructure.
Monitoring your containers is crucial but it brings new challenges, especially with Kubernetes on top. That’s why today we are happy to introduce our new integration with Kubernetes. Now you can monitor your Kubernetes clusters, Docker containers, containerized applications, and more [...]
Just like a regular host, Docker runs work on behalf of resident software—and that work uses CPU, memory, I/O, and network resources. However, Docker containers run inside cgroups which don't report the exact same metrics you might expect.
HAProxy exposes a large number of metrics, and choosing the most meaningful among them can be challenging. We've compiled a list of the most important HAProxy metrics and their meanings to give you the information you need to dive deep into HAProxy.
You know the metrics you want, now to collect them. HAProxy offers a number of ways to get the metrics you need. Whether using built-in tools or going the third-party route, we have you covered on the various ways you can collect metrics from HAProxy.
For a comprehensive view of your infrastructure's health and performance, you need a monitoring system that can integrate and correlate HAProxy metrics with the rest of your infrastructure.