DataDog is an important part of monitoring at SmarterAgent, where we use their API's and Integrations heavily, especially the CloudWatch integrations for Amazon's Web Services (AWS). Using these, we have been able to put up effective dashboards for new environments in a matter of minutes.
We leverage DD’s API primarily for eventing. For example, deployment notifications are posted to datadog, where they overlay our metrics. This has proven very useful in tracking changes due to deploys and/or configuration changes.
While we do leverage the DataDog agent for standard and custom metrics, DataDog’s ability to put together dashboards (and alerting) for AWS without any modifications to the host is what really closed the deal for us.
I probably will end up building the bare minimum to meet my needs and moving on tbh.
It was basically a monitoring/metrics system to merge how I handle the monitoring of crons, work queue, system metrics, analytics, etc. into a single service. Right now, I'm stuck using 3.
Sure, I could just build something to merge it together ... but at that point, I'm halfway to building my own.
I was about to do the same thing. App Engine sorely lacks those features currently, so I'm very excited for this (assuming it has good support for App Engine in addition to Compute Engine which I saw in the keynote).
Hi, I am developer and hacker and wanted to see if i can offer help here. The reason, wanted to see what would be the typical needs and use cases and learn from the experience.
I can be contacted on sid4it@gmail.com
We use datadog at pelotoncycle.com. My past experience was nagios but datadog is so much nicer as well as easier to scale. I looked into other services (cheaper, more expensive) before deciding on datadog.
