Elastic Announces Optimized Data Architecture, Enhanced Web Crawler, and Autoscaling in Elastic Enterprise Search
25 März 2021 - 9:10PM
Business Wire
Driving Value for Users by Reducing Deployment
Size, Increasing Rate of Indexing, and Delivering More Relevant
Search Results
- Building on an updated data architecture to deliver greater
storage efficiency, search performance, and more relevant
results.
- Adding performance and stability improvements to the Elastic
App Search web crawler and support for web crawling standards.
- Extending autoscaling to Elastic Enterprise Search to allow
users to proactively set rules that monitor storage usage and gain
peace of mind.
Elastic (NYSE: ESTC) (“Elastic”),
the company behind Elasticsearch and the Elastic Stack, recently
announced an updated data architecture, enhanced web crawler, and
autoscaling to support consistent search performance, scalability,
and relevancy across the Elastic Enterprise Search solution in the
7.12 release.
Elastic Enterprise Search introduces
a reimagined underlying data architecture optimized for
performance, relevance, and capacity management. With this new data
structure, deployments may benefit from up to 70 percent
improvement in storage efficiency, up to 40 percent reduction in
indexing latency, and significant improvements to results relevance
across App Search and Workplace Search.
The Elastic App Search web crawler, recently introduced in beta,
adds several performance and stability improvements, along with
better support for web crawling standards such as robot.txt. With
the App Search web crawler, users can leverage simple
point-and-click tools to extract publicly accessible web content
into their App Search engine without any coding required.
Elastic Enterprise Search also inherits index lifecycle
management (ILM) policies from the Elastic Stack to automatically
manage logs and analytics, and can easily roll additional ILM
features into App Search and Workplace Search.
Autoscaling on Elastic Cloud allows Enterprise Search users to
proactively set predefined rules that monitor storage usage,
whether that storage comes from content, logs, or analytics. When a
threshold is met, autoscaling automatically increases customers’
storage capacity based on predefined rules. With autoscaling, users
can drive greater insights into their search platform with less
overhead.
For more information read the Elastic blog about what’s new in
Elastic Enterprise Search 7.12.
About Elastic:
Elastic is a search company built on a free and open heritage.
Anyone can use Elastic products and solutions to get started
quickly and frictionlessly. Elastic offers three solutions for
enterprise search, observability, and security, built on one
technology stack that can be deployed anywhere. From finding
documents to monitoring infrastructure to hunting for threats,
Elastic makes data usable in real time and at scale. Thousands of
organizations worldwide, including Cisco, eBay, Goldman Sachs,
Microsoft, The Mayo Clinic, NASA, The New York Times, Wikipedia,
and Verizon, use Elastic to power mission-critical systems. Founded
in 2012, Elastic is a distributed company with Elasticians around
the globe and is publicly traded on the NYSE under the symbol ESTC.
Learn more at elastic.co.
The release and timing of any features or functionality
described in this document remain at Elastic’s sole discretion. Any
features or functionality not currently available may not be
delivered on time or at all.
Elastic and associated marks are trademarks or registered
trademarks of Elastic N.V. and its subsidiaries. All other company
and product names may be trademarks of their respective owners.
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version on businesswire.com: https://www.businesswire.com/news/home/20210325005813/en/
Elastic Public Relations Ariel Roop PR-Team@elastic.co
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