[pull] master from DataDog:master

.github/workflows/nightly-base-package-windows.yml

@@ -28,6 +28,7 @@ jobs:
       # Options
       minimum-base-package: true
       test-py2: true
+      pytest-args: '-m "not flaky"'
     secrets: inherit
 
   submit-traces:

.github/workflows/nightly-base-package.yml

@@ -26,6 +26,7 @@ jobs:
       # Options
       minimum-base-package: true
       test-py2: true
+      pytest-args: '-m "not flaky"'
     secrets: inherit
 
   submit-traces:

.github/workflows/test-target.yml

@@ -121,7 +121,7 @@ jobs:
     - name: Set environment variables with sanitized paths
       run: |
         # We want to replace leading dots as they will make directories hidden, which will cause them to be ignored by upload-artifact and EnricoMi/publish-unit-test-result-action
-        JOB_NAME=$(echo "${{ inputs.job-name }}" | sed 's/^\./Dot/')
+        JOB_NAME=$(echo "${{ inputs.job-name }}${{ inputs.target-env && format('-{0}', inputs.target-env) || '' }}" | sed 's/^\./Dot/')
 
         echo "TEST_RESULTS_DIR=$TEST_RESULTS_BASE_DIR/$JOB_NAME" >> $GITHUB_ENV
         echo "TRACE_CAPTURE_FILE=$TRACE_CAPTURE_BASE_DIR/$JOB_NAME" >> $GITHUB_ENV

adyen/README.md

@@ -59,7 +59,15 @@ The Adyen integration does not include any service checks.
 
 For further assistance, contact [Datadog Support][3].
 
+## Further Reading
+
+Additional helpful documentation, links, and articles:
+
+- [Monitor and optimize payment processing with Datadog's Adyen integration][5]
+
+
 [1]: https://www.adyen.com/
 [2]: https://docs.adyen.com/development-resources/webhooks/
 [3]: https://docs.datadoghq.com/help/
 [4]: /integrations/adyen
+[5]: https://www.datadoghq.com/blog/monitor-adyen-payments/

adyen/manifest.json

@@ -36,6 +36,12 @@
       "Category::Log Collection",
       "Submitted Data Type::Logs",
       "Offering::Integration"
+    ],
+    "resources": [
+      {
+        "resource_type": "blog",
+        "url": "https://www.datadoghq.com/blog/monitor-adyen-payments/"
+      }
     ]
   },
   "assets": {

anthropic_usage_and_costs/README.md

@@ -2,14 +2,16 @@
 
 ## Overview
 
-This integration provides Datadog users with comprehensive visibility into their Anthropic API usage and associated costs. By ingesting data from Anthropic's Admin usage and cost APIs, the integration enables organizations to:
+Datadog's Anthropic Usage and Costs integration allows you to get visibility into your Anthropic usage and associated costs. By ingesting data from Anthropic's newly released Admin usage and cost API, this integration enables your teams to:
 
 - **Monitor LLM token consumption** (input, output, cache usage) in near real-time
-- **Track costs by model, workspace, and service tier**, supporting accurate attribution and budgeting
-- **Understand usage trends** across teams, API keys, or user identities to optimize model usage
+- **Track costs** by model, workspace, and service tier, supporting accurate attribution and budgeting
+- **Understand usage trends** across teams, API keys, or users to optimize model usage
 - **Set up alerting and dashboards** that highlight anomalies in usage or unexpected cost spikes
 
-This integration is especially valuable for teams using Anthropic at scale who want to manage spend, understand product adoption, and ensure efficient use of AI resources-all within the familiar Datadog observability platform.
+This integration is especially valuable for teams using Anthropic at scale who want to manage spend, understand product adoption, and ensure efficient use of AI resources-all within Datadog. With this data you will be able to introduce and validate optimization strategies to get the best out of Anthropic.
+
+You can also see your Anthropic costs in Datadog [Cloud Cost Management][6], allowing you to answer key questions: Which models or workspaces are generating the most cost? Are workloads using the right service tier (Standard, Batch, or Priority)? Are teams effectively using caching or ephemeral sessions? What's the cost breakdown between Claude Opus and Claude Sonnet?
 
 ## Setup
 
@@ -24,7 +26,7 @@ You will need an [Admin API key][5] from Anthropic. This key allows access to us
 
 ### 2. Configure the Datadog Integration
 
-1. In Datadog, go to [**Integrations > Anthropic**](https://app.datadoghq.com/integrations?integrationId=anthropic).
+1. In Datadog, go to [**Integrations > Anthropic**](https://app.datadoghq.com/integrations?integrationId=anthropic-usage-and-costs).
 2. In the configuration panel, provide the **Admin API Key** by pasting the key you generated from Anthropic.
 3. Click **Save Configuration**.
 
@@ -53,4 +55,4 @@ Need help? Contact [Datadog support][3].
 [3]: https://docs.datadoghq.com/help/
 [4]: https://github.com/DataDog/integrations-core/blob/master/anthropic_usage_and_costs/metadata.csv
 [5]: https://docs.anthropic.com/en/api/administration-api
-
+[6]: /cost