Merge branch 'master' into master

.github/CODEOWNERS

@@ -38,6 +38,7 @@
 /census/                                 @sankalp04 [email protected] @DataDog/ecosystems-review
 /cfssl/                                  @JeanFred
 /cloudnatix/                             @junm-cloudnatix @kenji-cloudnatix @somik-cloudnatix @rohit-cloudnatix
+/cloudquery-cloud/                       @cloudquery/cloudquery-cloud
 /cloudsmith/                             @cloudsmith [email protected] @DataDog/ecosystems-review
 /cloudzero/                              @ben-dalton @mattyellen @egafford @alinaquinones
 /cockroachdb_dedicated/                  @DataDog/saas-integrations

cloudquery-cloud/CHANGELOG.md

@@ -0,0 +1,7 @@
+# CHANGELOG - CloudQuery Cloud
+
+## 1.0.0 / 2024-10-01
+
+***Added***:
+
+* Initial Release

cloudquery-cloud/README.md

@@ -0,0 +1,41 @@
+# CloudQuery Cloud
+
+## Overview
+
+[CloudQuery][1] is an open-source, high-performance data integration framework built for developers, with support for a wide range of plugins.
+
+CloudQuery extracts, transforms, and loads configuration from cloud APIs to a variety of supported destinations such as databases, data lakes, or streaming platforms for further analysis.
+
+[CloudQuery Cloud][2] is a great way to get started with CloudQuery and syncing data from source to destination without the need to deploy your own infrastructure. It is also much easier to connect to sources and destinations with the integrated OAuth authentication support. You only need to select a source and destination plugin and CloudQuery will take care of the rest.
+
+## Setup
+
+### Installation
+
+1. Sign up for free at [cloud.cloudquery.io][2]. 
+2. In Datadog, navigate to the CloudQuery Cloud integration tile
+3. Click **Connect Accounts**
+4. You'll be redirected to CloudQuery to log in
+5. Navigate to the **Sources** page and add a Datadog source
+6. Under the **Authentication** section, use the **Authenticate** button to grant access to your Datadog account using OAuth2 flow.
+
+For more information about using CloudQuery Cloud, refer to the [quickstart guide][3].
+
+### Configuration
+
+Detailed documentation for the CloudQuery Datadog source is available [here][4].
+
+## Uninstallation
+
+1. Navigate to the **Sources** page under [CloudQuery Cloud][2] and find your Datadog source you have previously set up. 
+2. Under the **Edit source** tab, click the **Delete this source** button.
+
+## Support
+
+For support, contact [CloudQuery][1] or [CloudQuery Community][5].
+
+[1]: https://www.cloudquery.io/
+[2]: https://cloud.cloudquery.io/
+[3]: https://docs.cloudquery.io/docs/quickstart/cloudquery-cloud
+[4]: https://hub.cloudquery.io/plugins/source/cloudquery/datadog/latest/docs
+[5]: https://community.cloudquery.io/

cloudquery-cloud/assets/oauth_clients.json

@@ -0,0 +1,43 @@
+{
+  "integration": {
+    "scopes": [
+      "code_analysis_read",
+      "synthetics_private_location_read",
+      "data_scanner_read",
+      "user_access_read",
+      "apm_api_catalog_read",
+      "teams_read",
+      "security_monitoring_signals_read",
+      "ci_visibility_read",
+      "monitors_read",
+      "apm_service_catalog_read",
+      "apm_read",
+      "slos_read",
+      "synthetics_read",
+      "hosts_read",
+      "security_pipelines_read",
+      "security_monitoring_rules_read",
+      "security_monitoring_suppressions_read",
+      "metrics_read",
+      "incident_read",
+      "synthetics_global_variable_read",
+      "security_monitoring_filters_read",
+      "security_monitoring_findings_read",
+      "continuous_profiler_pgo_read",
+      "workflows_read",
+      "cloud_cost_management_read",
+      "events_read",
+      "cases_read",
+      "usage_read",
+      "dashboards_read"
+    ],
+    "client_role": "integration",
+    "name": "CloudQuery Sync (OAuth)",
+    "onboarding_url": "https://cloud.cloudquery.io/",
+    "description": "Simple, Fast and Extensible Data Movement",
+    "redirect_uris": [
+      "https://cloud.cloudquery.io/auth/connector"
+    ],
+    "id": "85f67abe-7fd9-11ef-ac1f-da7ad0900002"
+  }
+}

cloudquery-cloud/manifest.json

@@ -0,0 +1,36 @@
+{
+  "manifest_version": "2.0.0",
+  "app_uuid": "727e53a9-0bbe-4277-8ed0-9e9425fe34de",
+  "app_id": "cloudquery-cloud",
+  "display_on_public_website": true,
+  "tile": {
+    "overview": "README.md#Overview",
+    "media": [],
+    "configuration": "README.md#Setup",
+    "support": "README.md#Support",
+    "uninstallation": "README.md#Uninstallation",
+    "changelog": "CHANGELOG.md",
+    "description": "Simple, Fast and Extensible Data Movement",
+    "title": "CloudQuery Cloud",
+    "classifier_tags": [
+      "Supported OS::Linux",
+      "Supported OS::Windows",
+      "Supported OS::macOS",
+      "Category::Developer Tools",
+      "Offering::Integration",
+      "Category::Cloud",
+      "Queried Data Type::Metrics",
+      "Queried Data Type::Logs",
+      "Queried Data Type::Events"
+    ]
+  },
+  "assets": {
+    "oauth": "assets/oauth_clients.json"
+  },
+  "author": {
+    "support_email": "[email protected]",
+    "name": "CloudQuery",
+    "homepage": "https://cloud.cloudquery.io/",
+    "sales_email": "[email protected]"
+  }
+}

f5-distributed-cloud/manifest.json

@@ -24,12 +24,12 @@
       {
         "media_type": "image",
         "caption": "The F5 Distributed Cloud Services WAF events dashboard.",
-        "image_url": "images/F5DCS-WAF-Events-Overview.png"
+        "image_url": "images/waf_events_overview.png"
       },
       {
         "media_type": "image",
         "caption": "The F5 Distributed Cloud Services BOT Defense events overview dashboard.",
-        "image_url": "images/F5DCS-BOT-Defense-Events-Overview.png"
+        "image_url": "images/defense_events_overview.png"
       }
     ],
     "classifier_tags": [

gigamon/README.md

@@ -15,8 +15,8 @@ GigaVUE V Series Node is a virtual machine running in the customer's infrastruct
     a. Alias: Name of the exporter (String).
     b. Ingestor: Specify the Port as "514" and Type as "ami".
     c. Cloud Tool Exports: Create a new exporter tool by selecting '+' and add details as shown in the following diagram:
-    ![1](https://raw.githubusercontent.com/DataDog/integrations-extras/master/gigamon/images/images/gigamon1.png)
-    ![2](https://raw.githubusercontent.com/DataDog/integrations-extras/master/gigamon/images/images/gigamon2.png)
+    ![AMI exporter][6]
+    ![Cloud Tools Exporter][7]
 
 
 ## Data Collected
@@ -36,4 +36,6 @@ Need help? Contact [Gigamon Support][5].
 [3]: https://docs.gigamon.com/doclib66/Content/GigaVUE_Cloud_Suites.html?tocpath=GigaVUE%20Cloud%20Suite%7C_____0
 [4]: https://docs.gigamon.com/doclib66/Content/GV-GigaSMART/Application%20Protocol%20Bundle.html
 [5]: https://www.gigamon.com/support/support-and-services/contact-support.html
+[6]: https://raw.githubusercontent.com/DataDog/integrations-extras/master/gigamon/images/gigamon1.png
+[7]: https://raw.githubusercontent.com/DataDog/integrations-extras/master/gigamon/images/gigamon2.png
 

hikaricp/README.md

@@ -14,11 +14,13 @@ To install the HikariCP check on your host:
 1. Install the [developer toolkit][10]
  on any machine.
 
-2. Run `ddev release build hikaricp` to build the package.
+2. Clone the [integrations-extras][12] repo and navigate into the directory.
 
-3. [Download the Datadog Agent][2].
+3. Run `ddev release build hikaricp` to build the package.
 
-4. Upload the build artifact to any host with an Agent and
+4. [Download the Datadog Agent][2].
+
+5. Upload the build artifact to any host with an Agent and
  run `datadog-agent integration install -w
  path/to/hikaricp/dist/<ARTIFACT_NAME>.whl`.
 
@@ -61,4 +63,4 @@ Need help? Contact [Datadog support][9].
 [9]: https://docs.datadoghq.com/help/
 [10]: https://docs.datadoghq.com/developers/integrations/python/
 [11]: https://github.com/DataDog/integrations-extras/blob/master/hikaricp/assets/service_checks.json
-
+[12]: https://github.com/DataDog/integrations-extras