Introducing the New Frozen Data Tier Powered By
Searchable Snapshots and the General Availability of Schema on
- Announcing the technical preview of the frozen data tier,
making object stores like Amazon S3, Google Cloud Storage, and
Microsoft Azure storage fully searchable.
- Introducing a new background search capability in Kibana to
help users stay in the flow of analyzing data with search session
management that allows long-running queries to complete.
- Providing customers cost and performance flexibility with the
general availability of schema on read.
Elastic (NYSE: ESTC) (“Elastic”), the company behind
Elasticsearch and the Elastic Stack, recently announced new
capabilities and updates across Elasticsearch, Kibana, and Elastic
Cloud in the 7.12 release. The new features are designed to enable
users to uncover insights and drive action with their data through
the power of search.
Key updates include:
Directly search low-cost object stores with the new frozen
tier, now in technical preview
The new frozen data tier makes object stores like Amazon S3,
Microsoft Azure Storage, and Google Cloud Storage fully
Whether it’s for observability, security, or enterprise search,
data can keep growing at an exponential rate. This data is critical
not only for day-to-day success but also for historical
The frozen tier decouples storage from compute, allowing
customers to retain and search their data at a fraction of the cost
while also reducing the number of dedicated resources needed for
search. By only fetching the data needed to complete a query from
the object store and caching recent queries, the frozen tier offers
the best search experience while enabling customers to store and
search a nearly unlimited amount of data.
Schema on read is now generally available
Elastic recently announced the arrival of runtime fields, its
implementation of schema on read: a new flexible way to onboard,
explore, and search data in Elasticsearch. While indexed fields, or
schema on write, remain the default way to store and search data
for speed, runtime fields add the flexibility of defining fields on
the fly with schema on read.
With the general availability of schema on read, Elastic is
putting runtime fields at users’ fingertips in Kibana. Not only
will fields captured at the time of ingest be displayed (schema on
write), but those fields created after ingest with the runtime
capability (schema on read) will also be available for
Autoscaling is now generally available
Autoscaling is now generally available on Elastic Cloud and
Elastic Cloud Enterprise. Customers can also take advantage of
autoscaling, available in technical preview, in Elastic Cloud on
Autoscaling monitors the storage utilization of Elasticsearch
data nodes as well as the memory consumption of machine learning
jobs and automatically adjusts resource capacity.
Customers can set thresholds to cost-effectively manage cluster
growth and their Elasticsearch data nodes’ capacity will
automatically grow with each data tier as more data is ingested. In
addition, nodes’ memory will scale up or down based on the memory
requirements of machine learning jobs to help identify anomalies to
support threat hunting and analyze performance issues in customers'
applications and infrastructure.
Stay productive in Kibana by saving long-running searches to
Users can now benefit from increased productivity in Kibana by
saving long-running searches to the background. Hunting for an
answer across years of data where the underlying index is living on
a frozen asset or spread across remote clusters can create
long-running searches. To aid in handling long-running search,
Elastic is introducing a frontend experience in Discover and
Dashboard that builds on earlier asynchronous search capabilities
to allow users to save a long-running search to the background.
Elasticsearch and Kibana now support ARM
Elastic also now officially supports ARM aarch64 architectures.
The demand for using ARM architectures has increased as testing has
shown a more than 20 percent improvement in performance while
reducing costs relative to x86-64. Elastic is committed to pushing
the pace of innovation and providing customers with a choice of
chip architecture to deploy on.
Improved performance and lower costs with new instance types
on Elastic Cloud
New infrastructure enhancements are now available for Elastic
Cloud on both Amazon Web Services (AWS) and Microsoft Azure.
On AWS, customers can take advantage of D3 instances in the EU
(Ireland), US East (N. Virginia), US East (Ohio), and US West
(Oregon) regions. D3 instances provide high-capacity local storage
for dense storage workloads and are designed to deliver additional
performance at a lower cost compared to D2 instances. Elastic will
also support ARM-based instances in Elastic Cloud soon.
On Microsoft Azure, customers can benefit from Ls-Series virtual
machine instances in the Microsoft Azure UK South (London) and
Japan East (Tokyo) regions. Ls-Series I/O optimized instances
feature high throughput and low latency. These instances also
deliver cost savings of more than 55 percent compared to the
previous E-Series virtual machine instances.
Replicate and search across different Elastic Cloud
Cross-cluster replication and cross-cluster search are now
available on Elastic Cloud Enterprise, following the release of
these features on Elastic Cloud. Whether customers have a single
cluster or a globally distributed collection of clusters, they can
use cross-cluster replication and search across deployments hosted
in any installation.
Cross-cluster replication allows for storing a data copy on one
or more other clusters. Even if an entire environment goes down,
customers can continue handling search requests using a copy of
their data residing in a cluster located in another environment.
They can also reduce search latency by storing a copy of data in
clusters that are more closely geolocated to search users.
Cross-cluster search gives customers the ability to seek out
data across any number of clusters, regardless of their physical
location or whether they are hosted in another environment. This
unified search capability helps break down data silos to derive
greater insights by visualizing search results from multiple
clusters in a single coherent view.
Enhanced support SLA, more features, and more options for AWS
The Elastic Cloud AWS Marketplace subscription is introducing a
number of enhancements that make subscription management easier.
Now, when customers purchase a monthly subscription from within the
AWS Marketplace, they receive instant access to Platinum features
such as Elastic APM, App Search, and Workplace Search.
Additionally, customers receive access to enhanced support
service-level agreements and can change subscription levels
directly in the console.
For more information read the Elastic blogs about what’s new in
Elasticsearch 7.12, Kibana 7.12, Elastic Cloud 7.12, and the new
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.
version on businesswire.com: https://www.businesswire.com/news/home/20210324005957/en/
Elastic Public Relations Ariel Roop PR-Team@elastic.co
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