Elastic is strengthening its relationship with Amazon Web Services (AWS) by leveraging the latest generative artificial intelligence (AI) services from AWS.
As part of this collaboration, Elastic is offering large language model (LLM) observability support for Amazon Bedrock in Elastic Observability. Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies via a single API, along with a broad set of capabilities organizations need to build generative AI applications with security, privacy, and responsible AI.
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.”
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