In the spirit of continuous improvement, we are happy to announce that percentiles have recently been added to SPM’s arsenal of measurement tools. Percentiles provide more accurate statistics than averages, and users are able to see 50%, 95% and 99% […]
If you are into logging and search like we are, and if you are in New York, like some of us are, come to Indexing and Searching Logs with Elasticsearch and Solr on Wednesday at Pivotal Labs office in Manhattan.
Don’t worry, we didn’t just stop at Storm monitoring and metrics while improving SPM. We’re also happy to announce support for Redis. Specifically, here are some of the key Redis metrics SPM monitors: Used Memory Used Memory Peak Used Memory […]
There has been a “storm” brewing here at Sematext recently. Fortunately this has nothing to do with the fierce winter weather many of us are experiencing in different parts of the globe — it’s actually a good kind of storm! […]
During last year’s Lucene Revolution conference in Dublin we had the opportunity to give four talks, one of which was Scaling Solr with SolrCloud. Through it we wanted to share our experiences around scaling Solr, especially as we have experience […]
SPM was not the only one being released this week. Logsene, our machine/application log and data analytics/exploration solution saw a release as well! Let’s see what’s new in Logsene: Like SPM, Logsene got a new “native” Logsene UI to complement its […]
We don’t typically announce new SPM, Logsene, or Search Analytics releases, but yesterday’s release calls for an exception. Logsene release deserves its own post, so we’ll post that separately. For a quick rundown you can jump over to SPM Changelog. […]
During the New York Search, Discovery and Analytics group in November, we did a presentation on Introduction to Elasticsearch. It was about how you can use Elasticsearch to store, search and analyze your data in near-realtime. It included a demo […]