Datadog Highlights Advanced AI/ML and AWS Monitoring Capabilities at re:Invent
Datadog showcased its expanded AWS monitoring capabilities at re:Invent, highlighting over 100 unique AWS service integrations. The platform now offers enhanced monitoring for AI/ML services, including AWS Trainium, Inferentia ML chip monitoring, Amazon Q, Amazon Bedrock, and Amazon SageMaker. Major customers like AppFolio, Cash App, and andsafe are leveraging Datadog's solutions to monitor AWS environments, optimize model performance, and improve resource efficiency. The platform helps companies understand their LLM usage, infrastructure performance, and cloud costs across serverless and containerized environments.
Datadog ha presentato le sue capacità di monitoraggio potenziate per AWS durante re:Invent, evidenziando oltre 100 integrazioni uniche con i servizi AWS. La piattaforma offre ora un monitoraggio migliorato per i servizi di AI/ML, inclusi AWS Trainium, il monitoraggio dei chip Inferentia ML, Amazon Q, Amazon Bedrock e Amazon SageMaker. Grandi clienti come AppFolio, Cash App e andsafe stanno sfruttando le soluzioni di Datadog per monitorare gli ambienti AWS, ottimizzare le performance dei modelli e migliorare l'efficienza delle risorse. La piattaforma aiuta le aziende a comprendere l'uso dei loro LLM, le performance dell'infrastruttura e i costi del cloud in ambienti serverless e containerizzati.
Datadog presentó sus capacidades de monitoreo ampliadas para AWS en re:Invent, destacando más de 100 integraciones únicas de servicios de AWS. La plataforma ahora ofrece un monitoreo mejorado para los servicios de AI/ML, incluyendo AWS Trainium, monitoreo de chips Inferentia ML, Amazon Q, Amazon Bedrock y Amazon SageMaker. Clientes importantes como AppFolio, Cash App y andsafe están aprovechando las soluciones de Datadog para monitorear entornos de AWS, optimizar el rendimiento de modelos y mejorar la eficiencia de recursos. La plataforma ayuda a las empresas a entender su uso de LLM, el rendimiento de la infraestructura y los costos de la nube en entornos sin servidor y contenerizados.
Datadog는 re:Invent에서 AWS 모니터링 기능을 확장하여 100개 이상의 고유한 AWS 서비스 통합을 강조했습니다. 이 플랫폼은 이제 AWS Trainium, Inferentia ML 칩 모니터링, Amazon Q, Amazon Bedrock 및 Amazon SageMaker를 포함한 AI/ML 서비스에 대한 향상된 모니터링을 제공합니다. AppFolio, Cash App, andsafe와 같은 주요 고객들은 Datadog의 솔루션을 활용하여 AWS 환경을 모니터링하고 모델 성능을 최적화하며 자원 효율성을 개선하고 있습니다. 이 플랫폼은 기업들이 LLM 사용, 인프라 성능 및 서버리스 및 컨테이너화된 환경에서의 클라우드 비용을 이해하는 데 도움을 줍니다.
Datadog a présenté ses capacités de surveillance étendues pour AWS lors de re:Invent, mettant en avant plus de 100 intégrations uniques de services AWS. La plateforme propose désormais un suivi amélioré pour les services d'IA/ML, y compris AWS Trainium, le suivi des puces Inferentia ML, Amazon Q, Amazon Bedrock et Amazon SageMaker. Des clients majeurs comme AppFolio, Cash App et andsafe tirent parti des solutions de Datadog pour surveiller les environnements AWS, optimiser les performances des modèles et améliorer l'efficacité des ressources. La plateforme aide les entreprises à comprendre leur utilisation des LLM, les performances de l'infrastructure et les coûts liés au cloud dans des environnements sans serveur et conteneurisés.
Datadog präsentierte auf der re:Invent seine erweiterten AWS-Monitoring-Funktionen und hob mehr als 100 einzigartige AWS-Service-Integrationen hervor. Die Plattform bietet nun verbessertes Monitoring für AI/ML-Services, einschließlich AWS Trainium, Inferentia ML-Chip-Monitoring, Amazon Q, Amazon Bedrock und Amazon SageMaker. Wichtige Kunden wie AppFolio, Cash App und andsafe nutzen die Lösungen von Datadog, um AWS-Umgebungen zu überwachen, die Modellleistung zu optimieren und die Ressourceneffizienz zu verbessern. Die Plattform hilft Unternehmen, ihre LLM-Nutzung, die Infrastrukturleistung und die Cloud-Kosten in serverlosen und containerisierten Umgebungen zu verstehen.
- Expanded portfolio with 100+ AWS service integrations
- Strong enterprise customer adoption (AppFolio, Cash App, PlayStation Network, Twilio)
- Strategic expansion into AI/ML monitoring services
- None.
Insights
The enhanced AWS monitoring capabilities represent a strategic market positioning for Datadog, particularly in the high-growth AI/ML infrastructure monitoring space. The expansion to over 100 AWS service integrations, including critical AI services like Trainium, Inferentia and Bedrock, strengthens Datadog's competitive moat in cloud observability.
Customer testimonials from major players like Cash App and AppFolio validate the platform's enterprise adoption and practical value in AI/ML monitoring. The integration with Amazon Q for natural language querying and comprehensive SageMaker monitoring capabilities demonstrates Datadog's commitment to simplifying complex cloud infrastructure management.
While this announcement reinforces Datadog's market leadership, it's more evolutionary than revolutionary, building upon existing capabilities rather than introducing groundbreaking new features.
Customers like AppFolio, Cash App and andsafe leverage Datadog to monitor their AWS environments
"We continue to see companies rely on Datadog for enterprise-scale observability at an accelerated rate," said Yanbing Li, Chief Product Officer at Datadog. "Trends like AI/ML, cloud migration, serverless and containers—and the need to monitor and optimize resources for all these areas—have helped to accelerate this growth as companies search to better understand their LLM usage, infrastructure performance and cloud costs."
Datadog now offers over 100 unique AWS service integrations, including for AI/ML services:
- AWS Trainium and AWS Inferentia ML chip monitoring to help customers optimize model performance and resource efficiency, prevent service interruptions and scale their infrastructure as ML workloads grow.
- Amazon Q to help developers easily query and interact with Datadog directly in the AWS Management Console, using natural language.
- Amazon Bedrock to allow teams to monitor their AI models' FM usage, API performance and error rate with runtime metrics and logs.
- Amazon SageMaker to allow data scientists and engineers to collect, visualize and alert on Amazon SageMaker metrics so they can flag issues quickly and identify opportunities to improve the performance of ML endpoints and jobs.
"The Datadog LLM Observability solution helps our team understand, debug and evaluate the usage and performance of our GenAI applications. With it, we are able to address real-world issues, including monitoring response quality to prevent negative interactions and performance degradations, while ensuring we are providing our end users with positive experiences," said Kyle Triplett, VP of Product at AppFolio.
"We explored a bunch of different hosted solutions and found that SageMaker solved all the problems that we were encountering. And we did some stress testing with it and it held up to the traffic that we expected to be sending through the system," said James Adams, Machine Learning Engineering Manager at Cash App. "With Datadog, it has all these AI integrations—including SageMaker—that we're using heavily."
"andsafe has been all in on Amazon Web Services since day one and our infrastructure is based on microservices which are running on Amazon EKS," said Marcel Drechsler, Senior Cloud Solutions Engineer at andsafe. "To monitor the resource consumption, we are utilizing the container monitoring tools of Datadog. As a result, we were able to decrease the resource consumption and make the process much faster."
Learn more about how Datadog helps teams monitor every layer of their AWS environments, and visit Datadog at AWS re:Invent 2024 at booths #832 and #1728. Datadog will host a webinar to recap the announcements made at re:Invent—register here.
About Datadog
Datadog is the observability and security platform for cloud applications. Our SaaS platform integrates and automates infrastructure monitoring, application performance monitoring, log management, user experience monitoring, cloud security and many other capabilities to provide unified, real-time observability and security for our customers' entire technology stack. Datadog is used by organizations of all sizes and across a wide range of industries to enable digital transformation and cloud migration, drive collaboration among development, operations, security and business teams, accelerate time to market for applications, reduce time to problem resolution, secure applications and infrastructure, understand user behavior and track key business metrics.
Forward-Looking Statements
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Contact
Dan Haggerty
press@datadoghq.com
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SOURCE Datadog, Inc.
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