Operations | Monitoring | ITSM | DevOps | Cloud

How a swarm of satellites and Elastic help BlackSky build near real-time business analytics reports

BlackSky monitors the globe from space, the air, the ground, the internet, environmental sensors, asset tracking sensors, satellites in space, social media feeds, industrial IoT, and other sources too numerous to name. Once gathered in their Elastic-powered analytics engine, all of the data from these disparate sources is correlated, compared, and cleaned.

Virtual Meetup: Monitoring the COVID-19 Outbreak Using Elastic Stack

Melvyn Peignon, Elastic Education Architect, will be sharing information about Kibana, with an example of how to build your own personalized dashboard to track COVID-19 outbreak around the globe, using a public data source, of course. In this presentation, you are going to learn how easy it is to index any kind of data in Elasticsearch, transform it using ingest node and analyze it using Kibana visualizations, dashboards and maps.

Custom sources: Search content from anywhere with Elastic Workplace Search

Elastic Workplace Search is rooted in a simple, but powerful mission: bringing information, content, and files from every corner of your organization into a singular, centralized source of truth. Thanks to its portfolio of first-party integrations, Workplace Search easily connects to a variety of popular content platforms.

How to get started with Elasticsearch Service on AWS GovCloud

We’re happy to announce the beta availability of our new government region, AWS GovCloud (US East), for the Elasticsearch Service on Elastic Cloud. This new region is our first step in simplifying operations for Elastic users who handle government data as we work toward gaining a Moderate authorization for the Federal Risk and Authorization Management Program (FedRAMP).

Transparent, resource-based pricing with Elastic Enterprise Search

Until now, standard search solution pricing has been based on models that are difficult to understand, expensive to scale, and/or beneficial to only the search vendor. At Elastic, we’re taking a different approach based on the principles of transparency, fairness, and scalability, and have introduced resource-based pricing for our products running on Elastic Cloud. And we believe that this pricing approach will revolutionize Enterprise Search buying and ownership.

Europe regions are complete on Elastic Maps Service

At Elastic, we are adding data layers to our Maps Service on a regular basis. We are proud to announce that we have recently finished adding a number of layers that complete the European continent for all second level national boundaries. The list of new layers are Albania, Andorra, Bosnia and Herzegovina, Bulgaria, Czechia, Greece, Greenland, Iceland, Latvia, Liechtenstein, Lithuania, North Macedonia, Moldova, Montenegro, Romania, Serbia, and Ukraine.

Elastic SIEM for home and small business: SIEM overview

Hello, security enthusiasts! This is part seven (can you believe it?) of the Elastic SIEM for home and small business blog series. If you haven’t read the first six blogs in the series, you may want to before going any further. In the prerequisite blogs we created our Elasticsearch Service deployment (part 1), secured access to our cluster by restricting privileges for users and Beats (part 2), then we created an ingest pipeline for GeoIP data and reviewed our Beats configurations (part 3).

Creating meta engines in App Search to scale your search experiences

We introduced meta engines for Elastic App Search on Elastic Cloud and self-managed versions in the 7.6 release and have been thrilled to see the response to the new feature. Meta engines provide the ability to search across multiple existing or new engines. Think of adding a new search box to a page that then goes off and searches the documents in the sub-engines of your choosing.