We have recently added a Node.js package for Loggr which makes it really easy to post and read events from your Node application. You can find the package here. For details on how to install and use it, check out our docs http://docs.loggr.net/agents/nodejs.
DoubleTakeDeals uses Loggr in several of their products. Chris Walker, the Product Manager of their high-traffic deal site talks about the benefits he has seen over the past year by using Loggr for their monitoring. Click through the link below to read this new case study.
We’ve had a number of requests to handle the situation when a client process (most likely the Javascript engine in a browser) freaks out and posts a flurry of errors to your Loggr log. Depending on how bad it is, this situation could easily consume your daily event allocation for your log.
To prevent this from happening we’ve implemented Error Throttling. From our docs:
With error events, it is common to have a flurry of repeated events with the same description. In some cases it may be helpful to log all of them, but most times you don’t want them eating through your daily event limit. By enabling Error Throttling, we’ll track duplicates of events tagged with “error” for a sliding 15-second window. Duplicate events won’t be logged. We’ll just record the number of duplicates on the original event.
You can turn this on in the advanced setting section. Please try it out and let us know how it works for you. It’s possible we will expand this feature to work with different kinds of events, but this seems to solve most of the issues our customers have requested.
Loggr was recently featured on a .NET coding podcast called HerdingCode. With that podcast came an influx of .NET users (thanks to everyone that has joined us). We decided to post some resources we think will be helpful for .NET users. Although anyone interested in Loggr will find them helpful as well.
Documentation on using the .NET Loggr Agent (new)
Loggr chat room on Jabbr.net (come chat with us)
Do you know what your conversions look like for today? What about compared to yesterday or last week?
