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Personalizing Elastic App Search with results based on search history

With Elastic App Search, you can add scalable, relevant search experiences to all your apps and websites. It offers a host of search result personalization options out of the box, such as weights and boosts and curations. You could also add a these documents might interest you feature, which would surface additional content for users, similar to documents they’ve previously searched for. This post walks you through the process of creating this capability using the robust App Search APIs.

How to map custom boundaries in Kibana with reverse geocoding

Want to create a map of where your users are? With the GeoIP processor, you can easily attach the location of your users to your user metrics. Right out of the box, Kibana can map this traffic immediately by country or country subdivision: Plus, the new User Experience app for Elastic APM automatically creates maps based on monitoring data: But what if you want to take this one step further and create maps with different regions?

Best Data Visualization Tools for a Winning Business Presentation

Data visualization is a simple presentation of data or information in a graphical format. Humans are naturally drawn to colors and patterns and these tools make it easier for people to interpret and understand data. Numbers are complex and they can be difficult to understand conceptually. Whereas, data visualization or pictorial representation can spark an interest in your audience to listen and learn more from your presentation.

Amazon: NOT OK - why we had to change Elastic licensing

We recently announced a license change: Blog, FAQ. We posted some additional guidance on the license change this morning. I wanted to share why we had to make this change. This was an incredibly hard decision, especially with my background and history around Open Source. I take our responsibility very seriously. And to be clear, this change most likely has zero effect on you, our users. It has no effect on our customers that engage with us either in cloud or on premises.

Metrics Monitoring: Choosing the right KPIs

Software metrics measure a software’s characteristics in a countable manner. That is why tracking the metrics is a huge part of the development stage. The goal of system metrics monitoring is to determine the quality of the product or process during the development and deployment stages. However, not all metrics are beneficial to your software development. That is why you need key performance indicators (KPI) that will help your processes to move forward.

Building a GitOps Workflow

Since the rise of Kubernetes, GitOps workflows have become the standard way for teams to manage the state of large systems. GitOps is a way to perform application management and delivery, which at its core leverages a version control system to maintain the desired state of the system. Being able to describe the desired state using human readable text files, and allowing automation to handle deployments and updates based on those files, means less opportunity for human error and faster deployments.

How to Tune Search Relevance in Elastic App Search - Version 7.10

When users run queries against your search engine, they’re interested in the most relevant documents. Elastic App Search makes it easy to further tune the search experience to optimize for your own needs. In this short video, we’ll show how documents are ranked and how you can change this ranking using intuitive, real-time relevance tuning.

Doubling down on open, Part II

We are moving our Apache 2.0-licensed source code in Elasticsearch and Kibana to be dual licensed under Server Side Public License (SSPL) and the Elastic License, giving users the choice of which license to apply. This license change ensures our community and customers have free and open access to use, modify, redistribute, and collaborate on the code.

Machine Learning Guide: Choosing the Right Workflow

Machine learning (ML) and analytics make data actionable. Without it, data remains an untapped resource until a person (or an intelligent algorithm) analyzes that data to find insights relevant to addressing a business problem. For example, amidst a network outage crisis a historical database of network log records is useless without analysis. Resolving the issue requires an analyst to search the database, apply application logic, and manually identify the triggering series of events.