More than 1,000 Elasticsearch and MongoDB databases across the world have been recently compromised by the new “Meow” attack that erases all database indexes and replaces them with a single word “meow.”

Read CEO Mark Brandon's explanation of business continuity steps taken in the face of the global health and economic crisis.

We are excited to introduce the new cluster status feature available on the cluster index page in the Qbox dashboard. The feature is live starting from August 6, 2019.

We are excited to announce our new ticketing and support system that will go live on August 7, 2019. This updated system gives you easier access to our support team and ensures that you are kept up to date on the status of your open tickets.

The new ELK stack 6.6.0 was officially released by Elasticsearch on January 29, 2019, and it offers a lot of groundbreaking features and enhancements for Elasticsearch, Kibana, Logstash, APM, and Beats.

We've already tested Elasticsearch 6.6.0 with the brand new Kibana and are excited to share our experience with such valuable features as Index Lifecycle Management and Remote Cluster management. In this article, we'll summarize these and other major new features for Elasticsearch, Kibana, and Elastic APM and will give you a glimpse of some cool stuff you can now do with your Elasticsearch indices in Kibana 6.6.0. Let's get started!

Done

• Deploying Supergiant Capacity Service for more efficient management of cluster resources. Supergiant Capacity Service used to provision Kubernetes nodes for Elasticsearch Pods substantially improves the stability of user deployments. We've experienced fewer issues with inability to provision Elasticsearch clusters after deploying Supergiant Capacity Service.

In Progress

• Adding Elasticsearch 6.4 to the list of available versions. This release offers several new features (e.g., WeightedAvg metric aggregation), and you can learn about them here.
• Adding the Learn-to-Rank plugin to the provisioner. The Elasticsearch Learn-to-Rank plugin leverages Machine Learning (ML) to improve search relevance ranking.
• Security Improvements. We are currently working on email verification and user verification before being able to log into Qbox.

Planned

• Add Hunspell dictionaries to the Qbox dashboard. Hunspell is a spell checker and morphological analyzer originally designed for the Hungarian language. It is a good analyzer solution for languages with rich morphology and complex word compounding and character encoding.