Update README with running docker image

Signed-off-by: Matthew Peveler <mpeveler@tigerdata.com>

Author: MasterOdin

README.md

@@ -2,32 +2,31 @@
 
 A wrapper around the [Logfire](https://pydantic.dev/logfire) API, exposing it as a PostgreSQL server.
 
-## Installation
+## Usage
+
+### Docker
+
+```bash
+docker run --name logfire-pg -p 5432:5432 ghcr.io/timescale/logfire-pg
+```
+
+### Binary
+
+#### Installation
 
 For Linux and Windows, go to the [Releases](https://github.com/timescale/logfire-pg/releases) page
 and download the binary for your system. Place the binary onto somewhere in your PATH.
 
 For macOS, you will need to clone the repo and build from source.
 
-## Usage
+#### Running the Binary
 
 To start the server, simply do:
 
 ```bash
 logfire_pg
 ```
 
-Where this starts a server that accepts PostgreSQL connections, where the username should be `token`
-and the password is your Logfire read token, see
-[here](https://logfire.pydantic.dev/docs/how-to-guides/query-api/#how-to-create-a-read-token) on how
-to create the token.
-
-Then to connect, you can use something like `psql` as follows:
-
-```bash
-psql -d "postgres://token:${LOGFIRE_READ_TOKEN}$@localhost:5432/logfire"
-```
-
 For the full available options on running the server, see `--help`:
 
 ```text
@@ -38,6 +37,19 @@ Usage of ./bin/logfire_pg:
       --version       Print version and exit
 ```
 
+### Connecting to logfire-pg
+
+After starting the server via one of the above methods, you can then use a PostgreSQL client, like
+`psql` to connect. You will need to first obtain a read token for your Logfire project, see
+[here](https://logfire.pydantic.dev/docs/how-to-guides/query-api/#how-to-create-a-read-token) on how
+to create a read token.
+
+If using `psql`, you could then do the following to connect:
+
+```bash
+psql -d "postgres://token:${LOGFIRE_READ_TOKEN}$@localhost:5432/logfire"
+```
+
 ## Development
 
 ### Building from Source