Wordpress is a very popular CMS that is used all over the internet for a variety of use cases. Wordpress traditionally uses MySQL for the database and for its search functionality. 

A good alternative is to use Elasticsearch to extend Wordpress’s search functionality. 

In this article, we cover how to install ElasticPress, a plugin that can be used to exploit Elasticsearch’s powerful search capabilities with Wordpress.

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Qbox dashboard offers a variety of useful features such as cluster monitoring, backups, cloning, viewing alerts, etc. Our Kubernetes-backed AWS users can now easily access Elasticsearch logs from their dashboards. 

Qbox Download Logs Feature

In order to get your Elasticsearch logs, select "Download Logs" under the "Manage" drop-down of your cluster. The logs will be downloaded in the tar format.

Not yet enjoying the benefits of a hosted ELK-stack enterprise search on Qbox? Discover how easy it is to manage and scale your Elasticsearch environment.

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10.12.2018 - Qbox Changelog

Posted by Kirill Goltsman October 12, 2018


  • Logs download feature. Users can now download Elasticsearch logs as a tar archive from their Qbox dashboard.
  • Invoices can now be downloaded in PDF by primary account admins.

In Progress

  • Qbox cluster provisioner is being upgraded with the Supergiant product to improve the speed of user cluster provisioning, cluster availability, performance, and resource utilization.
  • Updating ElastAlert alerting system to be compatible with ES 6.2.1 clusters.


  • Configuring and installing SENTINL from the Qbox dashboard. SENTINL is a plugin that adds alerting and reporting functionality to Kibana. It allows monitoring, notifying, and reporting on data series changes using standard queries, configurable actions, and programmable validators.
  • Updating K8s. Updating K8's should help Dev/Ops internally as it gives them the most recent abilities K8s has to offer. Also, it may help with cluster creation and pod scheduling speeds.
  • The ability for users to request VPC via their dashboard.
  • Download customer backups from the Qbox dashboard. It will give Qbox users a piece of mind that they could always grab a copy if they needed it.

With this blog post we begin a comprehensive overview of Elasticsearch metrics aggregations that focuses on Elasticsearch numeric metrics aggregations -- a subset of metrics aggregations that produces numeric values. There are two types of these aggregations in Elasticsearch: single-value aggregations, which output a single value, and multi-value aggregations, which generate multiple metrics.

In the first part of our metrics aggregations series, we'll discuss such single-value metrics aggregations as average and weighted average, min, max, and cardinality. The only multi-value aggregation type discussed in this article is extended stats aggregation. To help you understand how these aggregations work, we'll accompany each description with the corresponding visualization in the Kibana dashboard. Let's get started!

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In an earlier post, How to Build an Autocomplete Feature with Elasticsearch, we showed how to build a basic autocomplete that looks for all documents in the index. This feature is good for the generic autocomplete feature, but it is not enough if your index has a lot of product categories, for example. Therefore, in this post we'll explore context-based autocompletion, which will help you implement intelligent filtering based on categories and geo points. Let's get started!

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We are excited to announce that Elasticsearch 6.3.2 is now available for cluster provisioning on Qbox.io. This is a continuation of our efforts to integrate the latest Elasticsearch versions into Qbox offerings. (We previously made Elasticsearch 6.2.1 clusters available on our platform on March 28, 2018.)

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