Visualizing LLM Workloads: Amazon Bedrock Observability with Grafana

Visualizing LLM Workloads: Amazon Bedrock Observability with Grafana

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The increasing adoption of Large Language Models (LLMs) in enterprise workloads, particularly those deployed via Amazon Bedrock, necessitates robust observability mechanisms. Amazon Bedrock provides a fully managed service to access leading providers' foundation models (FMs). However, it's challenging to ensure optimal performance and cost efficiency without proper visibility into workload behavior—latency, throughput, model invocation trends, and errors.