As you know, in Sematext we looooove logs and metrics and we enjoy playing with them on a daily basis. We have our Logsene, which is all about logs and

One way to create a better search experience is to understand the user intent.  One of the phases in that process is query understanding, and one simple step in that direction is

Last updated on Jan 9, 2018 Nowadays there are more and more organizations searching for fault-tolerant and highly available solutions for various parts of their infrastructure, including search, which evolved from merely

Running Elasticsearch in Docker containers sounds like a natural fit - both technologies promise elasticity. However, running a truly elastic Elasticsearch cluster on Docker Swarm became somewhat difficult with Docker

Docker is all the rage these days, but one doesn't hear about running Solr on Docker very much. Last month, we gave a talk on the topic of running containerized

Last updated on Jan 10, 2018 One of the things you learn when attending Sematext Solr training is how to scale Solr. We discuss various topics regarding leader shards and

As the world of software is growing, so is the ecosystem of DevOps tools and resources - for monitoring, for logging, for alerting, for continuous integration and deployment, configuration management, etc.  Nothing wrong

If you are running Elasticsearch in Docker, you may have flipped through our Running High Performance Fault-tolerant Elasticsearch Clusters on Docker slide deck.  Here is the video of the Running High

If you are running Elasticsearch in Docker, here are some slides on that topic to make that smoother. See also Monitoring Official Elasticsearch Image on Docker [slideshare id=62830129&doc=runninghighperformancefaulttolerantelasticsearchclustersondocker-160607214924]  

Last updated on Jan 8, 2018 Last time, when talking about Solr 6 we learned how to use streaming expressions to automatically update data in a collection. You can imagine