Elastic partners with AWS to enhance GenAI capabilities for enterprises

Elastic, the Search AI Company, has announced an expanded collaboration with Amazon Web Services (AWS) to incorporate AWS' generative artificial intelligence (AI) services into its offerings. 

As part of the partnership, Elastic has integrated observability support for Amazon Bedrock into Elastic Observability. Amazon Bedrock is a managed service that provides access to a selection of foundation models (FMs) via a single API. It is designed to assist organisations in building generative AI applications while addressing security and privacy considerations. 

The integration enables Site Reliability Engineers (SREs) to monitor performance and usage of Amazon Bedrock's large language models (LLMs). Using Elastic Observability, SREs can track metrics such as invocations, errors, and latency. This monitoring helps prevent incidents and identify root causes more effectively, ensuring stable performance for AI applications built with Amazon Bedrock, the company said. 

Elastic has also integrated its AI Assistant with Amazon Bedrock. This tool helps SREs analyse data, create visualisations, and receive recommendations to resolve operational issues. 

Santosh Krishnan, general manager of Security and Observability Solutions at Elastic, said, “Today’s integration simplifies the collection of metrics and logs from Amazon Bedrock, in turn streamlining the process of gaining valuable and actionable insights.” 

Recently, the company also introduced its AI ecosystem, designed to support enterprise developers in creating and deploying Retrieval Augmented Generation (RAG) applications. The ecosystem integrates with the Elasticsearch vector database and provides tools and technologies to streamline application development, reduce time-to-market, and improve operational efficiency. 

Elastic states that these developments aim to provide developers with the resources needed to accelerate innovation and enhance the performance of generative AI applications.