Elastic Now Collaborates With AWS to Leverage Generative AI Capabilities
Elastic (NYSE: ESTC) announced an enhanced collaboration with AWS, introducing large language model (LLM) observability support for Amazon Bedrock in Elastic Observability. This integration enables Site Reliability Engineers (SREs) to monitor performance metrics of their Amazon Bedrock LLMs, including invocations, errors, and latency. The collaboration features the Elastic AI Assistant, powered by Amazon Bedrock, which helps SREs analyze data, generate visualizations, and provide actionable recommendations for issue resolution.
Elastic (NYSE: ESTC) ha annunciato una collaborazione potenziata con AWS, introducendo il supporto per l'osservabilità dei modelli di linguaggio di grandi dimensioni (LLM) per Amazon Bedrock in Elastic Observability. Questa integrazione consente agli Ingegneri di Affidabilità del Sito (SRE) di monitorare le metriche di prestazione dei loro LLM su Amazon Bedrock, inclusi invocazioni, errori e latenza. La collaborazione presenta l'Elastic AI Assistant, alimentato da Amazon Bedrock, che aiuta gli SRE ad analizzare i dati, generare visualizzazioni e fornire raccomandazioni pratiche per la risoluzione dei problemi.
Elastic (NYSE: ESTC) anunció una colaboración mejorada con AWS, introduciendo soporte para la observabilidad de modelos de lenguaje de gran tamaño (LLM) para Amazon Bedrock en Elastic Observability. Esta integración permite a los Ingenieros de Confiabilidad del Sitio (SRE) monitorear las métricas de rendimiento de sus LLM en Amazon Bedrock, incluyendo invocaciones, errores y latencia. La colaboración presenta el Elastic AI Assistant, impulsado por Amazon Bedrock, que ayuda a los SRE a analizar datos, generar visualizaciones y proporcionar recomendaciones prácticas para la resolución de problemas.
Elastic (NYSE: ESTC)는 AWS와의 협력을 강화하며 Elastic Observability에 대한 Amazon Bedrock의 대규모 언어 모델(LLM) 관찰 가능성 지원을 도입했습니다. 이 통합은 사이트 신뢰성 엔지니어(SRE)들이 Amazon Bedrock LLM의 성능 메트릭, 즉 호출, 오류 및 지연 시간을 모니터링할 수 있도록 합니다. 이 협력에는 Amazon Bedrock을 기반으로 하는 Elastic AI Assistant가 포함되어 있으며, SRE들이 데이터를 분석하고, 시각화를 생성하며, 문제 해결을 위한 실행 가능한 권장 사항을 제공하는 데 도움을 줍니다.
Elastic (NYSE: ESTC) a annoncé une collaboration renforcée avec AWS, introduisant le support de l'observabilité des grands modèles de langage (LLM) pour Amazon Bedrock dans Elastic Observability. Cette intégration permet aux Ingénieurs de Fiabilité de Site (SRE) de surveiller les indicateurs de performance de leurs LLM Amazon Bedrock, y compris les invocations, les erreurs et la latence. La collaboration présente l'Elastic AI Assistant, alimenté par Amazon Bedrock, qui aide les SRE à analyser les données, générer des visualisations et fournir des recommandations concrètes pour la résolution de problèmes.
Elastic (NYSE: ESTC) hat eine verbesserte Zusammenarbeit mit AWS angekündigt und unterstützt die Beobachtbarkeit von großen Sprachmodellen (LLM) für Amazon Bedrock in Elastic Observability. Diese Integration ermöglicht es Site Reliability Engineers (SREs), die Leistungskennzahlen ihrer LLMs auf Amazon Bedrock zu überwachen, einschließlich Aufrufen, Fehlern und Latenz. Die Zusammenarbeit beinhaltet den Elastic AI Assistant, der von Amazon Bedrock betrieben wird, und der SREs dabei hilft, Daten zu analysieren, Visualisierungen zu erstellen und umsetzbare Empfehlungen zur Problemlösung zu geben.
- New integration with Amazon Bedrock enhances Elastic's AI capabilities
- Expands product offering with LLM observability support
- Strengthens strategic partnership with AWS
- None.
Insights
The collaboration between Elastic and AWS represents an incremental enhancement to Elastic's observability capabilities rather than a transformative development. While the integration with Amazon Bedrock adds valuable monitoring features for LLM applications, the immediate revenue impact is likely to be modest. The key value proposition lies in improved monitoring of LLM performance metrics and enhanced troubleshooting capabilities for SREs.
The strategic significance comes from Elastic positioning itself within the growing AI infrastructure ecosystem. By integrating with Amazon Bedrock, Elastic strengthens its competitive position in the observability market, particularly as more enterprises adopt generative AI applications. However, this appears to be more of a necessary feature addition to stay competitive rather than a major revenue driver.
The new integration offers Site Reliability Engineers (SREs) detailed insights into their Amazon Bedrock LLMs performance and usage. SREs can now leverage Elastic Observability to monitor invocations, errors, and latency metrics. This allows them to more proactively prevent incidents and identify root causes, ensuring optimal performance for their Amazon Bedrock-powered generative AI applications. Additionally, Elastic AI Assistant, which utilizes Amazon Bedrock, helps SREs accurately analyze data, generate visualizations, and provides actionable recommendations for issue resolution.
“As LLM-based applications are growing, it’s essential for developers and SREs to be able to monitor, optimize, and troubleshoot how they perform,” said Santosh Krishnan, general manager of Security and Observability Solutions at Elastic. “Today’s integration simplifies the collection of metrics and logs from Amazon Bedrock, in turn streamlining the process of gaining valuable and actionable insights.”
Support for Amazon Bedrock LLM visibility is available today. Read the Elastic blog to get started.
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
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.
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