Merge pull request #5980 from influxdata/pbarnett/add-influxdb3-explorer-info

chore:influxdb3 explorer install info

content/shared/v3-core-enterprise-release-notes/_index.md

@@ -5,6 +5,27 @@
 > All updates to Core are automatically included in Enterprise.
 > The Enterprise sections below only list features exclusive to Enterprise.
 
+## v3.0.0-0 {date="2025-04-14"}
+
+### Core
+
+#### General Updates
+
+- Performance and reliability improvements.
+
+### Enterprise
+
+#### Token Support
+
+- Authorization is now turned on by default.
+- Token support for database level permissions are now available.
+- Token support for system level queries are now available.
+
+#### General Updates
+
+- You can now use Commercial, Trial, and At-Home licenses.
+
+
 ## v3.0.0-0.beta.3 {date="2025-04-01"}
 **Core**: revision f881c5844bec93a85242f26357a1ef3ebf419dd3
 **Enterprise**: revision 6bef9e700a59c0973b0cefdc6baf11583933e262

content/shared/v3-core-get-started/_index.md

@@ -103,6 +103,15 @@ Pull the image:
 docker pull quay.io/influxdb/influxdb3-core:latest
 ```
 
+##### InfluxDB 3 Explorer -- Query Interface (Beta)
+
+You can download the new InfluxDB 3 Explorer query interface using Docker.
+Explorer is currently in beta. Pull the image:
+
+```bash
+docker pull quay.io/influxdb/influxdb3-explorer:latest
+```
+
 <!--------------- END DOCKER -------------->
 {{% /tab-content %}}
 {{% /tabs-wrapper %}}
@@ -680,6 +689,25 @@ print(table.group_by('cpu').aggregate([('time_system', 'mean')]))
 
 For more information about the Python client library, see the [`influxdb3-python` repository](https://github.com/InfluxCommunity/influxdb3-python) in GitHub.
 
+
+### Query using InfluxDB 3 Explorer (Beta)
+You can use the InfluxDB 3 Explorer query interface by downloading the Docker image.
+
+```bash
+docker pull quay.io/influxdb/influxdb3-explorer:latest
+```
+
+Run the interface using:
+
+```bash
+docker run --name influxdb3-explorer -p 8086:8888 quay.io/influxdb/influxdb3-explorer:latest
+```
+
+With the default settings above, you can access the UI at http://localhost:8086.
+Set your expected database connection details on the Settings page.
+From there, you can query data, browser your database schema, and do basic
+visualization of your time series data.
+
 ### Last values cache
 
 {{% product-name %}} supports a **last-n values cache** which stores the last N values in a series or column hierarchy in memory. This gives the database the ability to answer these kinds of queries in under 10 milliseconds.

content/shared/v3-enterprise-get-started/_index.md

@@ -102,6 +102,15 @@ Pull the image:
 docker pull quay.io/influxdb/influxdb3-enterprise:latest
 ```
 
+##### InfluxDB 3 Explorer -- Query Interface (beta)
+
+You can download the new InfluxDB 3 Explorer query interface using Docker.
+Explorer is currently in beta. Pull the image:
+
+```bash
+docker pull quay.io/influxdb/influxdb3-explorer:latest
+```
+
 <!--------------- END DOCKER -------------->
 {{% /tab-content %}}
 {{% /tabs-wrapper %}}
@@ -778,6 +787,27 @@ print(table.group_by('cpu').aggregate([('time_system', 'mean')]))
 
 For more information about the Python client library, see the [`influxdb3-python` repository](https://github.com/InfluxCommunity/influxdb3-python) in GitHub.
 
+
+### Query using InfluxDB 3 Explorer (Beta)
+
+You can use the InfluxDB 3 Explorer query interface by downloading the Docker image.
+
+```bash
+docker pull quay.io/influxdb/influxdb3-explorer:latest
+```
+
+Run the interface using:
+
+```bash
+docker run --name influxdb3-explorer -p 8086:8888 quay.io/influxdb/influxdb3-explorer:latest
+```
+
+With the default settings above, you can access the UI at http://localhost:8086.
+Set your expected database connection details on the Settings page.
+From there, you can query data, browser your database schema, and do basic
+visualization of your time series data.
+
+
 ### Last values cache
 
 {{% product-name %}} supports a **last-n values cache** which stores the last N values in a series or column hierarchy in memory. This gives the database the ability to answer these kinds of queries in under 10 milliseconds.