diff --git a/releaseNotes/AzureAppConfigurationProviderPython.md b/releaseNotes/AzureAppConfigurationProviderPython.md
index 11137b65..e8fda8f3 100644
--- a/releaseNotes/AzureAppConfigurationProviderPython.md
+++ b/releaseNotes/AzureAppConfigurationProviderPython.md
@@ -2,6 +2,11 @@
 
 [Source code][source_code] | [Package (Pypi)][package] | [Samples][samples]
 
+## 2.0.0 - January 6, 2025
+
+* Added support for load balancing mode, which enables your workloads to distribute requests to App Configuration across all available replicas. This enhancement improves the scalability of applications that typically experience high request volumes to App Configuration, ensuring they remain within quota limits. Load balancing mode is disabled by default and can be activated by setting `load_balancing_enabled` to `true`.
+* Added support for including FeatureFlagReference, FeatureFlagId, Etag to feature flag telemetry metadata when telemetry is enabled.
+
 ## 2.0.0b3 - November 14, 2024
 
 ### Bug Fixes
diff --git a/releaseNotes/PythonFeatureManagement.md b/releaseNotes/PythonFeatureManagement.md
index c8864a35..1ab2b636 100644
--- a/releaseNotes/PythonFeatureManagement.md
+++ b/releaseNotes/PythonFeatureManagement.md
@@ -2,6 +2,18 @@
 
 [Source code][source_code] | [Samples][samples]
 
+## 2.0.0 - January 6, 2025
+
+### Enhancements
+
+* Added support for variant feature flags. A variant feature flag is an enhanced feature flag that supports multiple states or variations. While it can still be toggled on or off, it also allows for different configurations, ranging from simple primitives to complex JSON objects. Variant feature flags are particularly useful for feature rollouts, configuration rollouts, and feature experimentation (also known as A/B testing).
+
+  For more information, see the [feature reference document](https://learn.microsoft.com/azure/azure-app-configuration/feature-management-python-reference#variants).
+
+* Added support for telemetry in feature flags. Telemetry allows you to track how your features are being used. It provides insights into the effectiveness of your feature flags and helps you make data-driven decisions. Telemetry is particularly useful for feature experimentation (also known as A/B testing) and feature rollouts.
+
+  An example is available to demonstrate how to use the new Telemetry in Python See [the example](https://github.com/microsoft/FeatureManagement-Python/blob/main/samples/feature_variant_sample_with_telemetry.py) in the examples folder.
+
 ## 2.0.0b3 - November 14, 2024
 
 ### Bug Fixes