Elastic

Mountain View, CA, USA
2012
Apr 12, 2021   |  By Kim Huffman
“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.
Apr 8, 2021   |  By Shay Banon
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.
Apr 8, 2021   |  By Yacine Younes
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.
Apr 7, 2021   |  By Lionel Palacin
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?
Apr 1, 2021   |  By Rich Kuzsma
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.
Apr 1, 2021   |  By Maja Grubic
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.
Mar 31, 2021   |  By Bianca Laurendine
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.
Mar 25, 2021   |  By Thomas Grabowski
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.
Mar 24, 2021   |  By Jamie Smith
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.
Mar 23, 2021   |  By Steve Kearns
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.
Apr 6, 2021   |  By Elastic
Elastic Maps Server gives you the ability to use Elastic Maps without needing to have a connection to Elastic Maps Service for the underlying basemaps and vector maps. This is ideal for air-gapped or low-connectivity environments that require locally managed assets. In this video, we walk through how to get started with Elastic Maps Server for your own self-managed Elastic Stack deployment.
Mar 30, 2021   |  By Elastic
Your data is growing. And with the power of search, you can instantly transform that data into actionable insights — and solve your most critical business problems.
Mar 17, 2021   |  By Elastic
Your data is growing. And with the power of search, you can instantly transform that data into actionable insights — and solve your most critical business problems.
Feb 11, 2021   |  By Elastic
The video contains a demonstration of the creation of a runtime field in which the day of the week is calculated from a timestamp field that contains the date. A visualization is then created in Kibana Lens using an indexed field and the newly created runtime field. Runtime field is the name given to the implementation of schema on read in Elasticsearch.
Feb 11, 2021   |  By Elastic
The video contains a demonstration of using a runtime field to fix errors in the indexed data. We intentionally index documents with some errors, and then use a runtime field to shadow the indexed field. The demonstration shows how a user querying the data or creating a visualization in Kibana Lens will see the correct information, which is calculated in the runtime field. This scenario allows for immediate fixing of errors in the indexed data by shadowing them with runtime fields (instead of reindexing). Runtime field is the name given to the implementation of schema on read in Elasticsearch.
Feb 10, 2021   |  By Elastic
The video contains a demonstration of the creation of an index template that defines that unknown fields will be created as runtime fields. Documents are then indexed into an index that inherits from that template, and because these documents contain fields that are not defined in the template, the fields are automatically created as runtime fields (i.e. these fields are usable for search and aggregation, but are not indexed). Runtime field is the name given to the implementation of schema on read in Elasticsearch.
Feb 6, 2021   |  By Elastic
Elastic APM is an application performance monitoring system built on the Elastic Stack. Elastic APM makes it easy to pinpoint and fix performance problems quickly. In this video, you will learn what distributed tracing is, how it can be used to better understand your environment, and how service maps give you a quick overview of your architecture.
Feb 5, 2021   |  By Elastic
Elastic allows you to store logs, and most importantly it gives you the power to search through all of them using a very powerful UI. In this video, you'll learn how you can efficiently use the log UI to analyze and find potential issues within your logs.
Feb 2, 2021   |  By Elastic
Elastic APM is an application performance monitoring system built on the Elastic Stack. Elastic APM makes it easy to pinpoint and fix performance problems quickly. In this video, you will learn what traces are and how they can be used to better understand your applications.
Jan 29, 2021   |  By Elastic
Kibana is your window into the Elastic Stack. It allows you to visualize the data that sits in Elasticsearch. In this video, you will learn how to use Kibana Lens to build your first dashboards and visualizations.
Mar 1, 2018   |  By Elastic
Learn how you can use Elastic Stack and X-Pack features, from role-based access control to data encryption, to get your Elasticsearch data ready for GDPR.

Elastic is the world's leading software provider for making structured and unstructured data usable in real time for search, logging, security, and analytics use cases. Built on an open source foundation, the Elastic Stack lets you reliably and securely take data from any source, in any format, and search, analyze, and visualize it in real time.

The Elastic Stack:

  • Kibana gives shape to your data and is the extensible user interface for configuring and managing all aspects of the Elastic Stack.
  • Elasticsearch is a distributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management.
  • Beats is a platform for lightweight shippers that send data from edge machines to Logstash and Elasticsearch.
  • Logstash is a dynamic data collection pipeline with an extensible plugin ecosystem and strong Elasticsearch synergy.

Founded in 2012 by the people behind the Elasticsearch, Kibana, Beats, and Logstash open source projects, Elastic's global community has more than 80,000 members across 45 countries. Since its initial release, Elastic's products have achieved more than 100 million cumulative downloads.