Add MLflow to tracing options

Signed-off-by: B-Step62 <yuki.watanabe@databricks.com>

Author: B-Step62

docs/user-guide/observability-evaluation/traces.md

@@ -239,9 +239,10 @@ Traces can be visualized and analyzed using any OpenTelemetry-compatible tool:
 Common visualization options include:
 
 1. **Jaeger**: Open-source, end-to-end distributed tracing
-2. **Langfuse**: For Traces, evals, prompt management, and metrics
-3. **AWS X-Ray**: For AWS-based applications
-4. **Zipkin**: Lightweight distributed tracing
+2. **MLflow**: Open-source LLMOps platform for tracing and evaluation.
+3. **Langfuse**: For Traces, evals, prompt management, and metrics
+4. **AWS X-Ray**: For AWS-based applications
+5. **Zipkin**: Lightweight distributed tracing
 
 ## Local Development Setup
 
@@ -393,4 +394,4 @@ print(response)
 There are several ways to send traces, metrics, and logs to CloudWatch. Please visit the following pages for more details and configurations:
 1. [AWS Distro for OpenTelemetry Collector](https://aws-otel.github.io/docs/getting-started/x-ray#configuring-the-aws-x-ray-exporter)
 2. [AWS CloudWatch OpenTelemetry User Guide](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch-OpenTelemetry-Sections.html)
-  - Please ensure Transaction Search is enabled in CloudWatch.
+  - Please ensure Transaction Search is enabled in CloudWatch.