Elastic Announces General Availability of New Frozen Tier, Improved Analyst Experience with Schema on Read, and First-Party Integration with Microsoft Azure
New features enable customers to find and store more data, simplify workflows, and accelerate time to value
Enable customers to cost-effectively find petabytes of data in minutes with searchable snapshots and general frozen-level availability
Unlocking New Data Capabilities in Kibana Lens and Discover with Improved Read Schema
Expanding Microsoft partnership with native integration that allows users to find and deploy Elastic directly from the Azure console
Elastic (NYSE: ESTC) (“Elastic”), the company behind Elasticsearch and Elastic Stack, today announced new features and enhancements for its Elastic Enterprise Search, Observability and Security solutions, which are part of Elastic Stack.
New features include the general availability of the frozen data tier, powered by search snapshots. Frozen data tier removes the constraint of only storing data locally and allows customers to search for larger data more cost effectively on low cost object stores such as Amazon S3, Google Cloud Storage, and Microsoft Azure Storage. The frozen tier is available in Elastic Cloud, Elastic Cloud Enterprise, and Elastic Cloud on Kubernetes. It is fully integrated with autoscaling, allowing customers to seamlessly scale to store and search huge amounts of data.
In addition to the power of the schema on read, Elastic introduces the general availability of the Kibana runtime field editor in Kibana Lens and Discover, which are Elastic’s intuitive user interfaces that streamline the data mining process. . Analysts can format, modify, and transform data without accessing other screens or involving Elasticsearch administrators. This flexibility allows analysts to be more independent in their exploration of data, giving them the power to make changes directly from their workflows and see the results on the spot.
Additionally, an expanded partnership with Microsoft introduces enhanced integrations that allow common customers to find and deploy Elastic directly from the Azure console and natively integrate Azure service observability and security data. Available in public preview, customers can now quickly find, deploy and manage Elasticsearch directly from the Azure portal and benefit from consolidated billing and single sign-on to the Elastic Cloud console using Azure credentials . Customers can also enjoy simplified ingestion for Azure platform, VM, and other resource logs.
Other key updates to Elastic Stack, Elastic Cloud, and solutions include:
Elastic Stack and Elastic Cloud
Elastic announces the general availability of supervised machine learning in Elastic Stack and Elastic Cloud. Customers can now take advantage of a single location to store, transform, build, test, and deploy supervised machine learning models to save time and reduce tool proliferation. Supervised machine learning and anomaly detection are built on Elastic Stack and are tightly integrated with Elastic solutions, including Elastic Security and Elastic Observability.
Elastic business search
Elastic Enterprise Search announces new integration with Dropbox Paper, the beta version of the Elastic App Search Fine-Tuning API, and enhanced Custom Source APIs to deliver a unified search experience to users from any content source. The Dropbox Paper integration extends the content sources for Elastic Workplace Search and allows users to set document-level permissions sync for all of their Dropbox content. Additionally, new custom source management APIs simplify ingestion for users and allow them to manage content from any content source, including legacy and custom applications. Elastic App Search introduces a fine-tuning API, unlocking granular search optimization for users by allowing them to adjust the recall and accuracy of their websites or app search results.
Elastic Observability announces the beta of Fleet Server and new troubleshooting views in Elastic APM to simplify data integrations and accelerate root cause analysis. With Fleet Server, a new application from Kibana that enables centralized management of an entire fleet of elastic agents, users can take advantage of the improved scalability and flexibility of data ingestion architectures. Together, Fleet Server and Elastic Agent dramatically reduce total cost of ownership and time to value for platform owners and users of Elastic Observability and Security.
Elastic is also announcing improvements to the Elastic APM service overview page, including improved time comparison and APM service instance views, allowing users to find the root cause of a problem in their environment and reduce the mean time to resolution (MTTR).
Elastic Observability also adds extended support for Microsoft Azure monitoring use cases with a new native Microsoft integration, allowing customers to easily integrate logs and metrics from their Azure services with Elastic Observability. Users can easily configure their configurations with tag-based filters to limit data collection to specific resources only. Logs and metrics are automatically written in Elastic Common Schema (ECS) format to simplify correlation of data from Azure and non-Azure sources.
Elastic Security announces support for osquery, giving security analysts direct access to rich host data in their ecosystems, including Windows, macOS, and Linux hosts, which can be retrieved with predefined and custom SQL queries for analysis. Built and maintained by the open source community, osquery is an essential tool that enables practitioners to increase security, compliance, and operations use cases by harnessing both osquery visibility and power. Elastic analytics. Additionally, Elastic Security 7.13 provides enhancements that help organizations operationalize threat intelligence, address new use cases with the detection engine and machine learning, and integrate new data sources.
“By consolidating customer data and making it easily searchable through Elasticsearch, Zurich Insurance claims agents get accurate information in real time and respond to customer inquiries faster,” said Evgeny Sitnikov, Head of Solution Integration, Zurich Insurance Group. “It saves seconds to minutes on each call – which can really add up and make a significant difference in terms of customer satisfaction.”
“Elastic customers look to us to help them extract more value from their data, and these critical capabilities and enhancements help them streamline workflows and focus on getting the information that helps them manage.” their business, ”said Ash Kulkarni, Product Manager, Elastic. “Elastic allows customers to find, observe and secure all of their data in one place: the Elastic Stack.”
About the elastic:
Elastic is a research company built on a free and open heritage. Anyone can use Elastic products and solutions to get started quickly and without friction. Elastic offers three solutions for enterprise search, observability, and security, based on a technology stack that can be deployed anywhere. From searching for documents to monitoring infrastructure to scouting for threats, Elastic makes data usable in real time and at scale. Thousands of organizations around the world, including Cisco, eBay, Goldman Sachs, Microsoft, the Mayo Clinic, NASA, the New York Times, Wikipedia, and Verizon, use Elastic to power critical systems. Founded in 2012, Elastic is a distributed company with elasticians around the world and is publicly traded on the NYSE under the symbol ESTC. Learn more about elastic.co.
The release and timing of any feature or functionality described in this document is at the sole discretion of Elastic. Any features or functionality not currently available may not be delivered on time or at all.
Elastic and related marks are trademarks or registered trademarks of Elastic NV and its subsidiaries. All other company and product names may be trademarks of their respective owners.
See the source version on businesswire.com: https://www.businesswire.com/news/home/20210526005861/en/
Elastic public relations