SREs can now monitor, analyze and optimize the performance of AI deployments using models from Vertex AI
Elastic (NYSE: ESTC), the Search AI Company, announced the general availability of the Elastic Google Cloud Vertex AI platform integration in Elastic Observability. This integration offers large language model (LLM) observability support for models hosted in Google Cloud’s Vertex AI platform, providing insights into costs, token usage, errors, prompts, responses and performance. Site Reliability Engineers (SRE) can now optimize resource usage, identify and resolve performance bottlenecks, and enhance model efficiency and accuracy.
“Comprehensive visibility into LLM performance is crucial for SREs and DevOps teams to ensure that their AI-powered applications are optimized,” said Santosh Krishnan, general manager of Observability and Security at Elastic. “Google Cloud’s Vertex AI platform integration provides users robust LLM observability and detection of performance anomalies in real-time, giving them critical insights into model performance that help with bottleneck identification and reliability improvements.”
Availability
Support for the Elastic Google Cloud’s Vertex AI platform integration is available today.
Additional Resources
- Blog: LLM Observability for Google Cloud Vertex AI - understand performance, cost and reliability
- Documentation: Google Cloud Platform Vertex AI
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 50% of the Fortune 500. Learn more at elastic.co.
Elastic and associated marks are trademarks or registered trademarks of Elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.
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