diff --git a/app/routes/docs.producers._index.mdx b/app/routes/docs.producers._index.mdx
new file mode 100644
index 0000000000..bca0e179b6
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+++ b/app/routes/docs.producers._index.mdx
@@ -0,0 +1,87 @@
+---
+handle:
+ breadcrumb: New Notice Producers
+---
+
+import {
+ ProcessList,
+ ProcessListHeading,
+ ProcessListItem,
+} from '@trussworks/react-uswds'
+
+# New Notice Producers
+
+The following steps guide new instrument, mission, or observatory producers
+into setting up new notices streams that are distributed to the user community
+via [Kafka](faq#what-is-kafka). This process requires interaction
+with the [GCN Team](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback?selected=kafkagcn)
+to enable accounts and Kafka topics creation on the GCN Kafka broker. The GCN Team is
+also happy to work with the mission teams to help construct your alerts.
+
+## Start Producing Alerts
+
+
+
+
+ Sign in / Sign up
+
+ Decide which of your team members will have programmatic access to produce your alerts.
+ Make sure that they have all signed in at least once to the [GCN website](https://gcn.nasa.gov/login)
+ and the [GCN test website](https://test.gcn.nasa.gov/login).
+
+
+
+ Name Your Kafka Topics
+
+ Names of Kafka topics follow the format gcn.notices.mission.notice_type.
+ Pick a prefix for your Kafka topic names, mission.\*.
+
+
+
+ Contact the GCN Team
+
+ Send the [GCN Team](/contact)
+ your list of team members from Step 1 and your chosen Kafka topic prefix from Step 2.
+ The GCN Team will reply after they have configured producer permissions for your team.
+
+
+
+ Build Producer Code
+
+ - Log out and log back in.
+ - Go through the [Start Streaming GCN Notices](/quickstart) process.
+ - On Step 2, choose the scope gcn.nasa.gov/kafka-mission-producer.
+ - Your producer code will look very similar to the [client example code](client) and
+ Step 4 of [Start Streaming GCN Notices](/quickstart). `client_id` and `client_secret`
+ can be found in Step 4 client example code.
+ - Start from this and adjust the `client_id`, `client_secret`, `topic` and `data` content:
+
+ ```python
+ from gcn_kafka import Producer
+ # Connect as a producer.
+ # Warning: don't share the client secret with others.
+ producer = Producer(client_id='fill me in', client_secret='fill me in')
+ # any topic starting with 'mission.'
+ topic = 'gcn.notices.mission.example'
+ data = b'...' # any bytes
+ producer.produce(topic, data)
+ ```
+
+
+
+
+ Create or Update the Mission Page
+
+ Create a new mission page by submitting a [pull request](https://github.com/nasa-gcn/gcn.nasa.gov/pulls)
+or by sending text to the [GCN Team](https://heasarc.gsfc.nasa.gov/cgi-bin/Feedback?selected=kafkagcn).
+
+
+
+
+ Announce New Notice Types
+
+ Work with the
+ [GCN Team](/contact)
+ to draft a community announcement, which the GCN Team will circulate.
+
+
diff --git a/app/routes/docs.producers.attachments.mdx b/app/routes/docs.producers.attachments.mdx
new file mode 100644
index 0000000000..d2edf023be
--- /dev/null
+++ b/app/routes/docs.producers.attachments.mdx
@@ -0,0 +1,51 @@
+---
+handle:
+ breadcrumb: Advanced Documentation
+---
+
+import { Highlight } from '~/components/Highlight'
+
+# Attachments
+
+## Parsing HEALPix maps
+
+TODO: Leo/Israel?:Instructions on how to create multiresolution healpix maps.
+
+## File Encoding and Decoding
+
+The following code sample shows how to encode/decode a file in python. The `base64` package includes the methods `b64decode` and `b64encode` to make this task simple.
+
+```python
+import base64
+
+# Parse the content of your file to a base64 encoded string:
+with open("path/to/your/file", 'rb') as file:
+ encoded_string = base64.b64encode(file.read())
+
+print(encoded_string)
+# b'a1512dabc1b6adb3cd1b6dcb6d4c6......'
+
+# Decode and write the content to a local file:
+with open("path/to/destination/file", 'wb') as file:
+ file.write(base64.b64decode(encoded_string))
+
+```
+
+For example, if we wanted to include a FITS file in a notice, you would need to add a property to your schema definition and define the value to be the following:
+
+
+
+Then in your data production pipeline, you can use the encoding steps to convert your file to a bytestring, and set the value of the property to said bytestring. See [non json data](https://json-schema.org/understanding-json-schema/reference/non_json_data.html) for more information
+
+The following is a rough example of what that would look like in your producer code. We will assume for this example that the schema is defined such that the encoded data property is named `fits_data`:
diff --git a/app/routes/docs.tsx b/app/routes/docs.tsx
index ac457a4b1a..e84a5abeb3 100644
--- a/app/routes/docs.tsx
+++ b/app/routes/docs.tsx
@@ -156,6 +156,9 @@ export default function () {
Unified Schema
,
+
+ Attachments
+ ,
Archive
,