Last year at Berlin Buzzwords we were proud to give three talks. Alex talked about “Real-time Analytics with HBase” (slides, video), Otis talked about large scale monitoring in his talked titled “Large Scale ElasticSearch, Solr & HBase Performance Monitoring” (slides, video) and Rafał gave a talk about how we scale ElasticSearch clusters in his “Scaling Massive ElasticSearch Clusters” talk (slides, video). We were also very happy to be one of the sponsors of this great conference 🙂 Because we really enjoyed the conference we decided to submit a few proposals this year and they got accepted. In this years schedule we will be giving the following talks:
This talk is about aggregating loooots of logs – searching of seriously big data. We’ll go through everything we can possibly go through in 20 minutes. We’ll look at how, where, when, why, and what to log. We’ll show how to use Elasticsearch as a data store for logs and what the benefits of doing so are. We’ll discuss advantages and disadvantages of logging in JSON, which is easily processed by machines, over traditional logging, which is easily processed by humans. Finally, we’ll explore how you can get your logs – JSON or not – into Elasticsearch, run searches and statistics on them, and create pretty graphs you can’t stop staring at.
Learn about how both of these great enterprise search servers are evolving and adding new features. We will be comparing the latest and greatest versions of Solr and ES, both of which are using Lucene 4.x and bringing different approaches to handling codecs, per field similarities, and more. Of course, we’ll not only look at technical aspects of both Apache Solr and ElasticSearch, but will also dig into the makeup of their contributors, compare the code and of course the user community. By the end of the talk you’ll learn the main differences when it comes to these two search servers, how they handle shard and replica distribution, automatic data replication, and different query types. In addition, you’ll learn what the admin APIs for both Solr and ElasticSearch look like and how to use them to control and alter your cluster state. Last, but not least, you’ll learn what to avoid when using ElasticSearch or Apache Solr.
[Note: for those of you who don’t have the time or inclination to go through all the technical details, here’s a high-level, up-to-date (2015) Solr vs. Elasticsearch overview]
We hope to see some of you in Berlin. If these topics are of interest to you, but you won’t be coming to Berlin, feel free to get in touch, leave comments, or ping @sematext. As usual we’ll be posting slides after the talks and the organizers will probably record the talk and publish it after the conference. And if you love working with things our talks are about, we are hiring world-wide!