Elastic (NYSE: ESTC), the company behind Elasticsearch, today announced innovations for Elastic Search Platform, an industry-leading data analytics platform for search-optimized solutions.
According to a recent Forrester Consulting study commissioned by Elastic, 84% of data leaders are investing in search-optimized technologies to improve their organization’s efficiency and productivity and help it tackle the challenges it faces faster. Innovations in the elastic search platform and elastic observability, security, and enterprise search solutions will help IT organizations uncover relevant information from the petabytes of data they have to make informed decisions.
Innovations for Elastic Search Platform, Elastic Cloud and solutions include:
Simplifying the Elastic Cloud Experience on AWS
Customers can easily import data from any AWS service into Elastic Cloud on AWS. Just three clicks on AWS Marketplace and that’s it. The new native integration experience of Elastic Cloud on AWS, now generally available, reduces initial setup time from hours to minutes.
Future Elastic Cloud enhancements with AWS, Google Cloud and Microsoft Azure will help customers get started faster, with just-click provisioning and configuration for everyday use cases like search, log analytics and endpoint protection.
Improved search relevance with machine learning-based hybrid scores
Combining traditional keyword scores with vector search scores helps generate more accurate and relevant search results for end users. This suit is currently in technical preview and is expected to be offered in general availability soon.
Presentation of the concept of stateless architecture for the new version of Elastic Search Platform
Elastic plans to develop a stateless version of Elasticsearch, a new fully cloud-native architecture designed to overcome the limitations of resilience, speed and scalability, which lays the foundation for a Serverless Elastic service. A stateless architecture will completely decouple the processing and storage services. Customers will be able to store and search all their data in stateless object storage services, such as Amazon S3, Azure Blob Store, and Google Cloud Storage.
By separating compute and storage, customers will have complete control over resource provisioning and scalability based on an application’s resource demands.
Universal Profiling ™ beta announcement and additional synthetic monitoring capabilities to enhance cloud native observability
Universal Profiling ™, a new feature currently offered by Elastic in private beta, allows you to see the performance of your application code or infrastructure at any time during production, across a wide range of languages, in both containerized and not containerized.
With the addition of a new Beta Testing Framework within Elastic Uptime, customers have the ability to schedule tests from a global network of test agents to gain greater visibility into regional differences.
A point-and-click script recorder, also in beta, allows users in a non-technical location to quickly create a user path on an application and convert it to a synthetic monitor.
Modernize your security operations with actionable threat intelligence in Elastic Security
Complementing the orchestration, automation and security response capabilities of the recently announced Elastic Set, new threat intelligence management capabilities, which will soon be generally available, will enable security teams to pick up on compromises as well as search, sort, filter and take action on the threat intelligence feed, all from a single unified view within the elastic security investigation.
Another goal: to help security professionals better understand emerging threats and be able to more easily acquire and prepare threat information from many sources, including AbuseCH, AlienVault OTX, Anomali, Cybersixgill, MISP, Recorded Future and ThreatQuotient, all of which are generally available.