Datadog(DDOG) Prnewswire·2024-12-02 14:00Core Insights - Datadog continues to enhance its AWS monitoring product portfolio, focusing on AI/ML applications, serverless, and containerized environments, with over 100 unique integrations [1][2] - The demand for enterprise-scale observability is accelerating as companies seek to optimize resources and understand their infrastructure performance and cloud costs [2][3] Company Developments - Datadog's Chief Product Officer highlighted the growth driven by trends such as AI/ML, cloud migration, and the need for monitoring resources [2] - The company now offers integrations for AWS services like AWS Trainium, AWS Inferentia, Amazon Q, Amazon Bedrock, and Amazon SageMaker to enhance monitoring capabilities [2] Customer Use Cases - AppFolio utilizes Datadog's LLM Observability solution to monitor and improve the performance of their GenAI applications [3] - Cash App has found success with AWS SageMaker and Datadog's AI integrations, which have proven effective under stress testing [4] - andsafe relies on Datadog's container monitoring tools to optimize resource consumption and improve process efficiency [4] Product Features - Datadog's platform integrates various monitoring capabilities, including infrastructure monitoring, application performance monitoring, log management, and cloud security [5] - The platform aims to provide unified, real-time observability and security for customers' technology stacks, facilitating digital transformation and cloud migration [5]