In this post, we’ll show you how to use Datadog to collect metrics, request traces, and logs from a Rails application running on Passenger, Apache, and MySQL. (Though we will focus on these integrations in this guide, you can also monitor NGINX servers and PostgreSQL database systems with Datadog.)

A new MIT Technology Review report reveals why—and how—application performance monitoring (APM) is the key to deriving maximum business value from the Internet of Things. Here’s what IT pros can learn from the findings.

The jobs of everyone involved in the Software Development Lifecycle (SDLC) are made easier by having application and business performance information easily available.

The toughest IT performance problems to solve today are the ones where a user complains that their application access is slow. An IT administrator must then figure out the cause of the problem: is it the browser, the network, the server, the storage, the cloud infrastructure on which the application is hosted, or the application code?

Google Stackdriver lets you track your cloud-powered applications with monitoring, logging and diagnostics. Using Stackdriver to monitor Google Cloud Platform (GCP) or Amazon Web Services (AWS) projects has many advantages—you get detailed performance data and can set up tailored alerts. However, we know from our customers that many businesses are bridging cloud and on-premises environments.

We’ve talked about the increasingly-interconnected nature of cloud tools and the domino-goes-crashing-down effect thatcan happen when just one critical service has downtime. Web uptime is more important than ever, and it’s critical that these services we all rely on are up and running as often as possible.

Announcing the following new integrations: Salesforce Service Cloud, Updown.io, Splunk IT Service Intelligence integration