Importing COVID-19 data into Elasticsearch
Learn how you can import COVID-19 data into your elasticsearch cluster in order to correlate and analyze the impact of the outbreak with your day-to-day activities
Elasticsearch – shard optimization
Elasticsearch shards can be a daunting subject to tackle considering how much of an impact they can have on your cluster. In this article we explain what shards are and how they work and offer some advice on what can be a good practice.
Automated notifications for Microsoft account lock-out with Elastic Watcher
Elastic Watcher is a powerful tool that allows among other things for automated alerting. In this blog post we will show how you can use Watcher to quickly get notified of any data loss.
Automated alerting for data loss with Elastic Watcher
Elastic Watcher is a powerful tool that allows among other things for automated alerting. In this blog post we will show how you can use Watcher to quickly get notified of any data loss.
Image data monetization with GCP and Elastic
Find out how you can use Google’s Vision and AutoML to extract information from images and further analyze them inside the Elastic stack and possibly leverage that information into a custom built app.
ARCANNA Explained Part III – User Feedback
In the third part of our ARCANNA series we take a look at how users can directly influence the training of the model by providing feedback. With this feature in place ARCANNA can adapt to any environment and give control over the training process to the engineers that know their infrastructure best.
ARCANNA Explained Part II – Probable Root Cause Determination
In this second article regarding ARCANNA we will take a look at how the probable root cause determination is done. ARCANNA is an open-source, Elasticsearch plugin which is capable of determining with increasing accuracy the probable root cause of issues.
ARCANNA Explained Part I – Event clustering
ARCANNA is an open source Elasticsearch plugin which analyzes the events collected from across the infrastructure to determine the probable root cause of issues. The plugin is made up of 3 modules and in this article we will analyze the first module which helps reduce the number of false-positive alerts: event clustering