diff --git a/docs/ucan-invocation-stream.md b/docs/ucan-invocation-stream.md
index d301bd3e..934ba7d7 100644
--- a/docs/ucan-invocation-stream.md
+++ b/docs/ucan-invocation-stream.md
@@ -53,3 +53,33 @@ Consumers might need other infrastructure resources to track state based on the
 The `admin-metrics` table has a partition key `name` with the metric name we keep track. With this, we can easily update and query each of the `admin` metrics we care about.
 
 In the context of `space-metrics` table, a partition key with `space` is used together with a sort key `name` with the metric name. This way, we are able to track and query each metric for a given space.
+
+### Delivery Firehose
+
+Each UCAN Invocation/receipt that goes through the stream is stored 
+in S3. We [partition log storage](https://github.com/web3-storage/w3infra/blob/9def8df1ac3e0dda6e7aad710b1ec534af50af0a/stacks/firehose-stack.js#L163) by "type" (ie, `workflow` or `receipt`),
+"op" (ie, the UCAN's ability - `store/add`, `upload/remove`, etc) and "day"
+(a `%Y-%m-%d` formatted string). We designed partitioning this way to make it easy and efficient to 
+find logs for a particular operation on a particular date, which is used extensively
+by AWS Athena to make UCAN log queries efficient.
+
+For example, receipts of the `store/add` operation from January 1, 2024 are stored in:
+
+`/logs/receipt/store/add/2024-01-01`
+
+#### Glue
+
+We [use AWS Glue](https://github.com/web3-storage/w3infra/blob/9def8df1ac3e0dda6e7aad710b1ec534af50af0a/stacks/firehose-stack.js#L171) to define "tables" that take advantage of the partitioning structure
+above. Glue allows us to define "columns" that map to either partition parameters or
+keys and nested keys in the JSON-formatted UCAN values themselves.
+
+#### Athena
+
+Athena uses the tables defined in Glue to execute SQL queries as map-reduce jobs over
+the parititioned UCAN logs in S3. We define a variety of useful default queries in 
+the [firehose stack](https://github.com/web3-storage/w3infra/blob/9def8df1ac3e0dda6e7aad710b1ec534af50af0a/stacks/firehose-stack.js#L604) and often use the interactive query
+console in the AWS Athena console to run ad-hoc queries. 
+
+Athena queries are efficient as long as they are constrained to only search a relatively
+small number of `day`s. Queries that do not put constraints on the `day` partition key
+run the risk of loading and searching a large amount of data, and should be used carefully.
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