MemCachier just became MemCachier with more graphs!
We’ve spent the last week writing an awesome little node.js program that integrates MemCachier with New Relic, the popular performance monitoring solution for web applications. We are now able to announce its availability to all customers with 500MB or larger caches.
New Relic already provides some statistics on Memcache performance without any integration or work on our side. This is simply the timings and frequency of requests from your web application to MemCachier. With this integration, you can now view many of the same metrics that the MemCachier analytics dashboard supports, in your New Relic environment. Supported metrics are
- Cache usage and limit
- Total number of items in the cache
- Number of operations per minute
- Eviction rate
- Number of live connections to the cache
- Connection churn rate
- Hit ratio
- Get/Set ratio
You can find the New Relic page on our partnership here. To use it, simply signup with MemCachier, create a cache of 500MB of larger and then go to the analytics dashboard for that cache. Then, in the bottom right corner their is a button for entering in your New Relic license key.
To setup the integration you will need to find your New Relic license key. This can be done by going to your “Account Settings” page when logged in to New Relic by click on your New Relic username in the top right corner.
Then you will find your license key in the right side information column. It should be exactly 40 characters long.
As this has just been launched, we’d love to hear from all of you on your experience using it! Please shoot us an email at firstname.lastname@example.org so we can make MemCachier even better.
For those interested, we wrote this largely in Node.js. It was extremely suited for the task as the logic was simple but needs to be highly concurrent. So great for a event architecture. We’re hoping to open source it over the coming weeks so that everyone can integrate their Memcached statistics into New Relic, regardless of if they are using MemCachier.