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Elastic Accelerates Logs Onboarding with Automatic Import Powered by Search AI

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Elastic (NYSE: ESTC) has introduced Automatic Import, a new feature that accelerates the migration of custom data sources from legacy logs solutions to AI-driven log analytics. This innovation automates the migration process in less than ten minutes, addressing the challenges faced by SRE teams managing the explosion of applications and telemetry data.

The feature utilizes Large Language Models (LLMs) to automate the creation of custom connectors, significantly reducing the time required for data collection and issue analysis. Additionally, Elastic has launched the Express Migration program, an incentive initiative designed to facilitate faster adoption of Elastic Observability for logging and application performance monitoring (APM) use cases.

Elastic (NYSE: ESTC) ha presentato Importazione Automatica, una nuova funzionalità che accelera la migrazione delle fonti di dati personalizzate dalle soluzioni di log legacy all'analisi dei log basata su AI. Questa innovazione automatizza il processo di migrazione in meno di dieci minuti, affrontando le sfide che le squadre SRE devono gestire a causa dell'esplosione delle applicazioni e dei dati di telemetria.

La funzionalità utilizza Modelli Linguistici Complessi (LLM) per automatizzare la creazione di connettori personalizzati, riducendo significativamente il tempo necessario per la raccolta dei dati e l'analisi dei problemi. Inoltre, Elastic ha lanciato il programma Migrazione Veloce, un'iniziativa di incentivazione progettata per facilitare un'adozione più rapida dell'Elastic Observability per casi d'uso di registrazione e monitoraggio delle prestazioni delle applicazioni (APM).

Elastic (NYSE: ESTC) ha presentado Importación Automática, una nueva función que acelera la migración de fuentes de datos personalizadas desde soluciones de registros heredados a análisis de registros impulsados por IA. Esta innovación automatiza el proceso de migración en menos de diez minutos, abordando los desafíos que enfrentan los equipos de SRE que gestionan la explosión de aplicaciones y datos de telemetría.

La función utiliza Modelos de Lenguaje Grande (LLMs) para automatizar la creación de conectores personalizados, reduciendo significativamente el tiempo requerido para la recolección de datos y el análisis de problemas. Además, Elastic ha lanzado el programa Migración Express, una iniciativa de incentivos diseñada para facilitar la adopción más rápida de Elastic Observability para casos de uso de registro y monitoreo del rendimiento de aplicaciones (APM).

Elastic (NYSE: ESTC)는 자동 가져오기라는 새로운 기능을 도입하여 구식 로그 솔루션에서 AI 기반 로그 분석으로 사용자 정의 데이터 소스를 빠르게 마이그레이션할 수 있도록 합니다. 이 혁신은 10분 이내에 마이그레이션 프로세스를 자동화하여 애플리케이션과Telemetry 데이터의 폭증을 관리하는 SRE 팀이 직면한 문제를 해결합니다.

이 기능은 대형 언어 모델(LLMs)를 활용하여 사용자 정의 커넥터 생성을 자동화하여 데이터 수집 및 문제 분석에 필요한 시간을 크게 단축합니다. 또한 Elastic은 로그 및 애플리케이션 성능 모니터링(APM) 사용 사례를 위한 Elastic Observability의 더 빠른 도입을 촉진하기 위한 인센티브 프로그램인 익스프레스 마이그레이션 프로그램을 시작했습니다.

Elastic (NYSE: ESTC) a introduit Importation Automatique, une nouvelle fonctionnalité qui accélère la migration des sources de données personnalisées depuis des solutions de logs anciennes vers des analyses de logs pilotées par IA. Cette innovation automatise le processus de migration en moins de dix minutes, répondant ainsi aux défis auxquels les équipes SRE sont confrontées face à l'explosion des applications et des données de télémétrie.

La fonctionnalité utilise des Modèles de Langage de Grande Taille (LLMs) pour automatiser la création de connecteurs personnalisés, réduisant considérablement le temps nécessaire à la collecte de données et à l'analyse des problèmes. De plus, Elastic a lancé le programme Migration Express, une initiative incitative conçue pour faciliter l'adoption plus rapide de l'Elastic Observability pour les cas d'utilisation d'enregistrement et de surveillance des performances des applications (APM).

Elastic (NYSE: ESTC) hat Automatische Importierung eingeführt, eine neue Funktion, die die Migration von benutzerdefinierten Datenquellen von veralteten Protokolllösungen zu KI-gestützten Protokollanalysen beschleunigt. Diese Innovation automatisiert den Migrationsprozess in weniger als zehn Minuten und adressiert die Herausforderungen, mit denen SRE-Teams bei der Explosion von Anwendungen und Telemetriedaten konfrontiert sind.

Die Funktion nutzt Große Sprachmodelle (LLMs), um die Erstellung benutzerdefinierter Konnektoren zu automatisieren, wodurch die für die Datensammlung und Problemanalyse benötigte Zeit erheblich reduziert wird. Darüber hinaus hat Elastic das Express-Migrationsprogramm gestartet, eine Anreizinitiative, die entwickelt wurde, um die schnellere Einführung von Elastic Observability für die Protokollierung und das Monitoring der Anwendungsleistung (APM) zu erleichtern.

Positive
  • Introduction of Automatic Import feature for faster migration of custom data sources
  • Reduction of migration time to less than 10 minutes
  • Utilization of LLMs for automating custom connector creation
  • Launch of Express Migration program to incentivize adoption of Elastic Observability
Negative
  • None.

Insights

Elastic's new Automatic Import feature represents a significant advancement in log analytics technology. By leveraging Large Language Models (LLMs), it automates the complex process of migrating custom data sources from legacy systems. This innovation addresses a critical pain point for Site Reliability Engineering (SRE) teams who are grappling with the exponential growth of application data.

The ability to complete migrations in under 10 minutes is a game-changer, potentially saving countless hours of manual work. This efficiency gain could translate to faster issue resolution and improved system reliability. However, it's important to consider the accuracy and reliability of AI-driven imports, especially for mission-critical systems. Users should verify the integrity of migrated data to ensure no critical information is lost or misinterpreted during the automated process.

While this feature enhances Elastic's competitive edge in the observability market, its long-term impact will depend on adoption rates and real-world performance across various enterprise environments.

Elastic's introduction of Automatic Import, coupled with their Express Migration incentive program, signals a strategic move to capture market share in the competitive observability space. This initiative could potentially accelerate Elastic's revenue growth by lowering barriers to adoption and facilitating easier transitions from competitors' solutions.

The emphasis on rapid migration (under 10 minutes) and the use of AI technology could be particularly appealing to enterprise clients looking to modernize their IT infrastructure efficiently. If successful, this could lead to increased customer acquisition and retention rates, positively impacting Elastic's financial performance.

However, investors should monitor the costs associated with this AI-driven feature and the Express Migration program, as they may initially pressure margins. The long-term success will hinge on whether these investments translate into sustained revenue growth and market expansion for Elastic.

Migrate legacy logs to AI-driven log analytics in record time by automating custom data integrations

SAN FRANCISCO--(BUSINESS WIRE)-- Elastic (NYSE: ESTC), the Search AI Company, announced that its Automatic Import feature now accelerates the migration of custom data sources from legacy logs solutions to AI-driven log analytics. The new feature automates the migration in less than ten minutes.

“SRE teams are managing the explosion of applications and associated telemetry data. Collecting data and extracting insights from it starts with leveraging prebuilt data integrations,” said Abhishek Singh, general manager of Observability, Elastic. “Building integrations with custom connectors is a manual process that slows down data collection and issue analysis and negatively impacts the customer experience. Automatic Import addresses these challenges in less than 10 minutes by utilizing LLMs to automate the process."

Alongside Automatic Import, Elastic Express Migration, an incentive program designed to overcome migration inertia from existing deployments and contracts, provides a faster adoption path for observability users looking to migrate their logging and application performance monitoring (APM) use cases to Elastic Observability.

For more information, read the blog.

About Elastic

Elastic (NYSE: ESTC), the Search AI Company, enables everyone to find the answers they need in real-time using all their data, at scale. Elastic’s solutions for search, observability and security are built on the Elastic Search AI Platform, the development platform used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co.

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.

Elastic PR

PR-team@elastic.co

Source: Elastic N.V.

FAQ

What is Elastic's new Automatic Import feature for log analytics?

Elastic's Automatic Import is a new feature that accelerates the migration of custom data sources from legacy logs solutions to AI-driven log analytics, automating the process in less than ten minutes using Large Language Models (LLMs).

How long does it take to migrate custom data sources using Elastic's Automatic Import?

Elastic's Automatic Import feature can migrate custom data sources from legacy logs solutions to AI-driven log analytics in less than ten minutes.

What is Elastic Express Migration program for ESTC stock?

Elastic Express Migration is an incentive program designed to overcome migration inertia from existing deployments and contracts, providing a faster adoption path for observability users looking to migrate their logging and APM use cases to Elastic Observability.

How does Automatic Import benefit SRE teams using Elastic (ESTC)?

Automatic Import benefits SRE teams by automating the creation of custom connectors, significantly reducing the time required for data collection and issue analysis, which helps manage the explosion of applications and associated telemetry data more efficiently.

Elastic N.V.

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