“An adaptive business model that has employee experience at its core is the key to building business resilience, creating sustainable competitive advantage, and scaling effectively in times of disruption.” This is one of the key findings of a new commissioned study by Forrester Consulting, on behalf of Elastic.
Today, we are pleased to announce a partnership with Confluent to jointly develop and deliver an enhanced product experience to the Kafka-Elasticsearch community. Kafka is — and has been since the very early days — an important component of the Elastic ecosystem.
Have you ever tried to search for objects in images? Elasticsearch can help you store, analyze, and search for objects in images or videos. In this quick tutorial, we’ll show you how to build a system for facial recognition with Python. Learn more about how to detect and encode facial information — and find matches in search.
In case you hadn’t heard, we recently released a brand new web crawler for Elastic App Search. The web crawler provides a simple way to ingest publicly available web content and make that content instantly searchable on your website. Configuring the web crawler to start ingesting data from your website is super easy — it’s just a matter of a few clicks. This sounds great, but what if after crawling there are no pages being indexed or you feel some pages are missing?
Does your Elastic Enterprise Search Cloud deployment follow a predictable usage pattern? You can automatically scale up and down your deployment on a schedule to achieve optimal performance and reduce operating costs. In this article we show you how to use the Elastic Cloud API to change how many Enterprise Search nodes you’re running. We call these APIs from a cron job to achieve hands-free, time-triggered autoscaling.
With Elastic 7.12, Discover now uses the fields API by default. Reading from _source is still supported through a switch in the Advanced Settings. This change stems from updates made to Elasticsearch in 7.11 with the extension of the Search API to include the new fields parameter. When using the new search parameter, both a document’s raw source and the index mappings to load and return values are used.
Elastic Cloud is available for US government users and partners who want to harness the power of enterprise search, observability, and security to make mission-critical decisions. Elastic Cloud is FedRAMP authorized at Moderate Impact level so federal organizations and other customers in highly regulated environments can quickly and easily search their applications, data, and infrastructure for information, analyze data to observe insights, and protect their technology investment.
In SecOps, knowing which host processes are normally executed and which are rarely seen helps cut through the noise to quickly locate potential problems or security threats. By focusing attention on rare anomalies, security teams can be more efficient when trying to detect or hunt for potential threats. Finding a process that doesn’t often run on a server can sometimes indicate innocuous activity or could be an indication of something more alarming.
Kafka is a distributed, highly available event streaming platform which can be run on bare metal, virtualized, containerized, or as a managed service. At its heart, Kafka is a publish/subscribe (or pub/sub) system, which provides a "broker" to dole out events. Publishers post events to topics, and consumers subscribe to topics. When a new event is sent to a topic, consumers that subscribe to the topic will receive a new event notification.
We are pleased to announce the general availability (GA) of Elastic 7.12. This release brings a broad set of new capabilities to our Elastic Enterprise Search, Observability, and Security solutions, which are built into the Elastic Stack — Elasticsearch and Kibana.
