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Elastic N.V. reports developments in search AI software, observability, and security built on its Search AI Platform. Company news commonly covers Jina embedding models for text and multimodal retrieval, Elastic Inference Service availability, partner model deployments, and product integrations that bring search, classification, clustering, and data exploration into enterprise workflows.
Recurring updates also include Elastic Observability features such as Prometheus ingestion, PromQL support in Kibana, and incident investigation tools, as well as Elastic Security capabilities for XDR, SIEM, automation, and agentic security operations. Other company developments include cloud partnerships, air-gapped and sovereign-cloud deployments, federal cloud authorization, and pricing or packaging changes for security offerings.
Elastic (NYSE: ESTC) has introduced significant enhancements in its Enterprise Search solution with the 7.12 release. The update features a reimagined data architecture, promising up to a 70% improvement in storage efficiency and a 40% reduction in indexing latency. Additionally, the App Search web crawler now offers improved performance and supports web crawling standards. With autoscaling features, users can automatically adjust storage capacity based on predefined monitoring rules. These enhancements aim to bolster search performance and relevancy.
Elastic (NYSE: ESTC) announced the 7.12 release, introducing significant updates for Elasticsearch, Kibana, and Elastic Cloud. Key features include the technical preview of the frozen tier for low-cost object store searches, general availability of schema on read with runtime fields, and autoscaling for efficient resource management. Enhanced support for ARM architectures and new instance types on Elastic Cloud promise improved performance and cost efficiency. The release also improves cross-cluster capabilities and subscription management via the AWS Marketplace.
Elastic (NYSE: ESTC) has announced updates to its Elastic Observability solution in the 7.12 release, enhancing tools for root cause analysis and unified monitoring. New features include Elastic APM correlations, which identify high-latency application transactions, effectively decreasing resolution time. The release also introduces autoscaling on Elastic Cloud, allowing dynamic capacity adjustments based on data volumes without overspending. Furthermore, support for ARM processor-based infrastructure has been implemented for better performance monitoring.
Elastic (NYSE: ESTC) has announced significant updates across its Elastic Stack, enhancing its Enterprise Search, Observability, and Security solutions. Key features include the new schema on read capability, a frozen data tier for cost-effective data storage, and improved autoscaling support in Elastic Cloud. Users can expect up to 70% better storage efficiency and enhanced performance, alongside new analyst-driven correlation tools in Elastic Security for threat detection. Such innovations empower organizations to extract value from their data more efficiently, potentially impacting overall customer satisfaction and market competitiveness.
Elastic (NYSE: ESTC) and Grafana Labs have announced a partnership aimed at enhancing user experience by integrating Elasticsearch capabilities with Grafana's visualization tools. A new official Grafana Elasticsearch plugin will allow users to leverage the strengths of both platforms. The collaboration emphasizes community feedback and aims for interoperability, with future enhancements planned for the plugin. This integration will be available to all users, enhancing the functionality of Elasticsearch in conjunction with Grafana's extensive service offerings.
Elastic (NYSE: ESTC) announced updates to Elastic Security 7.11, enhancing protection for cloud applications and hosts. This release includes prebuilt machine learning jobs and detection rules for SaaS applications like Google Workspace and Microsoft 365, improving security operations workflows. Streamlined alert management allows analysts to respond quickly, with customizable notifications and integrations with tools like Slack and ServiceNow. The refreshed Timeline workspace aids in threat hunting and investigation, further enhancing SOC efficiency.
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Elastic (NYSE: ESTC) has announced the general availability of searchable snapshots and the beta release of schema on read with runtime fields. These features aim to enhance data insights and cost efficiency in Elastic Enterprise Search, Observability, and Security solutions. The cold data tier in Elasticsearch 7.11 enables cost savings of up to 50% in infrastructure costs while maintaining performance. Additionally, runtime fields allow for flexible schema definition at query time, reducing the time to insight and optimizing costs.
Elastic (NYSE: ESTC) recently announced updates to its Elastic Cloud offering, including a new cold tier powered by searchable snapshots. This allows customers to reduce infrastructure costs by up to 50% while maintaining performance. The new autoscaling capabilities enable automatic resource adjustments for data and machine learning nodes. Enhanced cross-cluster replication (CCR) and cross-cluster search (CCS) improve data accessibility across clusters and cloud providers, enhancing search performance and availability.
Elastic (NYSE: ESTC) has introduced new features aimed at enhancing investigative workflows and efficiency for users. The updated Elastic APM now provides a service health overview to facilitate root cause analysis, while the new resource heatmap in Elastic Metrics streamlines infrastructure monitoring. Additionally, the Elastic Common Schema logging libraries are now available, allowing developers to improve application observability by linking application logs and traces. These updates are designed to reduce mean time to insight (MTTI) and mean time to resolution (MTTR) for users.