WaKED-CO (Watch of Knowledge on Emergent Diseases COVID-19) is an initiative launched in record time — deployed just a month after developing a prototype — under the leadership of the health service within the Ministry of Armed Forces in France. The project had one core mission: to make it easier to research the literature around the COVID-19 crisis.
This post is a recap of a presentation given at ElasticON 2020. Interested in seeing more talks like this? Check out the conference archive. Network infrastructure is the engine that drives a company’s business. As companies scale, assets that compose this infrastructure become more complex to manage. That means there’s more hardware, more software, and more subscriptions and services that require tracking.
As a security analyst on Elastic’s InfoSec team, a common scenario we see is users coming to our team and asking: “Is this file safe to open?” Or one user reports a phishing email with an attachment that they didn’t open, but we see from the logs that 10 other users also received that email but didn’t report it and no alerts went off on their systems.
Elasticsearch 7.10 made configuring the lifecycle of your data less complicated. In this blog post I’ll walk through some of the changes, how to use them, and some best practices along the way. Data lifecycle can encompass a lot of stages, so we’ll touch on.
When we announced our license change for Elasticsearch and Kibana, moving the Apache 2.0-licensed source code to be dual licensed under both the Elastic License and SSPL, we also mentioned we would work closely with the community on a simplified and more permissive version of the Elastic License. I am happy to share the results with you. The Elastic License is already widely used.
Elasticsearch's date_histogram aggregation is the cornerstone of Kibana's Discover. And the Logs Monitoring UI. I use it all the time to investigate trends in build failures, but when it is slow I get cranky. Four seconds to graph all of the failures of some test over the past six months! I don't have time for that! Who is going to give me my four seconds back?! So I spent the past six months speeding it up. On and off.
Shell International knows that it takes cutting-edge technology to thrive in the competitive, global energy industry. With projects around the world, in both renewable and non-renewable energy, Shell must always have insights into the future. From determining expected output to predicting equipment failures, there's no room for guessing in an industry where downtime is unacceptable.
When performing critical security investigations and threat hunts using Elastic Security, the Timeline feature is always by your side as a workspace for investigations and threat hunting. Drilling down into an event is as simple as dragging and dropping to create the query you need to investigate an alert or event.
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.
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?
