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Solr Redis Plugin Use Cases and Performance Tests The Solr Redis Plugin is an extension for Solr that provides a query parser that uses data stored in Redis. It is open-sourced on Github by Sematext. This tool is basically a QParserPlugin that establishes a connection to Redis and takes data stored in SET, ZRANGE and other Redis data structures in order to build a query. Data fetched from Redis is used in RedisQParser and is responsible for building a query. Moreover, this plugin provides a highlighter extension which can be used to highlight parts of aliased Solr Redis queries (this will be described in a future). Use Case: Social Network Imagine you have a social network and you want to implement a search solution that can search things like: events, interests, photos, and all your friends' events, interests, and photos. A naive, Solr-only-based implementation wou... (more)

Top @Docker Metrics | @DevOpsSummit #DevOps #APM #ML #Monitoring

Container Monitoring: Top Docker Metrics to Watch By Stefan Thies Monitoring of Docker environments is challenging. Why? Because each container typically runs a single process, has its own environment, utilizes virtual networks, or has various methods of managing storage. Traditional monitoring solutions take metrics from each server and applications they run. These servers and applications running on them are typically very static, with very long uptimes. Docker deployments are different: a set of containers may run many applications, all sharing the resources of one or more unde... (more)

Solr 7 – New Replica Types

With the release of Solr 7 the community around it produced yet another great version of this search engine. As usual, there is an extensive list of changes, bug fixes and improvements that were introduced in version 7. Just to mention a few of the changes like deprecation of Trie field types and introduction of Point types which are faster and use less memory, API to define cluster balancing... Source ... (more)

Apache Spark Monitoring in SPM By @Sematext | @DevOpsSummit [#DevOps]

Apache Spark is an open-source, large-scale data processing engine built on top of the Hadoop Distributed File System (HDFS) and enables applications in Hadoop clusters to run up to 100x faster in memory, and 10x faster even when running on disk.  So it’s not surprising the usage of Spark is booming as this Google Trends graph shows. And while Spark usage has been going through the roof, Engineers and DevOps handling Spark have not had a good monitoring tool at their disposal.  Well, that is, until now.  By releasing the first Spark monitoring product to market Sematext has, wit... (more)

Distributed DevOps Teams Rely on Slack By @Sematext | @DevOpsSummit [#DevOps]

Integrating SPM Performance Monitoring with Slack By Stefan Thies Many Distributed DevOps Teams Rely on Slack, a platform for team communication providing everything in one place, instantly searchable and available wherever you go.  SPM Performance Monitoring‘s new integration via WebHooks provides the capability to forward alerts to many services, including Slack. The integration of both services can be achieved by using the WebHook URL from Slack and then configuring this WebHook in SPM.  The SPM Wiki explains how to get this information from Slack and build the WebHook in S... (more)