One of the technologies that I’m hearing more about is ElasticSearch. In particular the combination of ElasticSearch, Logstash, and Kibana (the ELK stack) has proven to be a popular platform for real-time analytics on both structured and unstructured data. I’ll be hosting a webcast on October 30th on the ELK stack featuring Mark Harwood, softwareContinue reading “Anomaly Detection with ElasticSearch”
Tag Archives: machine data
A growing number of applications are being built with Spark
Many more companies are willing to talk about how they’re using Apache Spark in production [A version of this post appears on the O’Reilly Data blog.] One of the trends we’re following closely at Strata is the emergence of vertical applications. As components for creating large-scale data infrastructures enter their early stages of maturation, companiesContinue reading “A growing number of applications are being built with Spark”
Graphs, Time-series, Dataviz, and Crowdsourcing at Strata Santa Clara 2014
There are many fantastic talks at Strata and it can be overwhelming to navigate the schedule. I plan to list talks I’m hoping to catch in a series of “time-turner” posts (check this blog on Wed/Thu at 10 a.m.). But for now let me highlight talks from a few categories: Graphs and Network Analysis: Large-scaleContinue reading “Graphs, Time-series, Dataviz, and Crowdsourcing at Strata Santa Clara 2014”
How Twitter monitors millions of time-series
[A version of this post appears on the O’Reilly Strata blog.] One of the keys to Twitter’s ability to process 500 millions tweets daily is a software development process that values monitoring and measurement. A recent post from the company’s Observability team detailed the software stack for monitoring the performance characteristics of software services, andContinue reading “How Twitter monitors millions of time-series”