Qbox to join forces with Instaclustr. Read about it on our blog post here.

This tutorial explains how to configure alerting using ElastAlert with the popular proprietary issue tracking product JIRA.

ElastAlert is now available on Qbox provisioned Elasticsearch clusters and can be easily configured. Implementing ElastAlert is easy on Qbox. When you provision a cluster, there is a configuration box where you can input your Alert rules.  If you’re unclear how to structure rules in YAML, be sure to consult the ElastAlert Documentation.

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In the previous tutorial in ElastAlert Series, we implemented new_term, change and spike rules for ElastAlert alerting via Slack. We will next be looking into configuring and setting up alerting using ElastAlert on to the popular cloud-based team collaboration tool HipChat.

Many organisations use Elasticsearch to rapidly prototype and launch new search applications, and moving quickly at scale raises challenges. In particular, we often encounter difficulty making changes to query logic without impacting users, as well as finding client library bugs, problems with multi-tenancy, and general reliability issues. As the number of queries grow, the Search Infrastructure faces difficulty in supporting the multitude of ways queries are being sent to Elasticsearch cluster. The infrastructure designed for a single team to communicate with a single cluster does not scale to tens of teams and tens of clusters.

Indexing in large volumes require instantaneous alerting on anomalies, spikes, or other patterns of interest from data in Elasticsearch. If you have data being written into Elasticsearch in near real time and want to be alerted when that data matches certain patterns, ElastAlert is the tool for you.

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We recently announced Qbox hosted ElastAlert — the superb open-source alerting tool built by the team at Yelp Engineering — now available on all new Elasticsearch clusters on AWS.

Most organizations use the ELK Stack for managing their ever increasing amount of data and logs. Kibana is great for visualizing and querying data, but it needs a companion tool like ElastAlert for alerting on inconsistencies, anomalies, spikes, or other patterns of interest from data in Elasticsearch.

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