Update README

README.md

@@ -3,33 +3,7 @@
 An AWS Lambda-based, GraphQl interface for performing CRUD operations on camera
 trap data stored in MongoDB.
 
-## `Related repos`
-
-Animl is comprised of a number of microservices, most of which are managed in their own repositories.
-
-### Core services
-
-Services necessary to run Animl:
-
-- [Animl Ingest](http://github.com/tnc-ca-geo/animl-ingest)
-- [Animl API](http://github.com/tnc-ca-geo/animl-api)
-- [Animl Frontend](http://github.com/tnc-ca-geo/animl-frontend)
-- [EXIF API](https://github.com/tnc-ca-geo/exif-api)
-
-### Wireless camera services
-
-Services related to ingesting and processing wireless camera trap data:
-
-- [Animl Base](http://github.com/tnc-ca-geo/animl-base)
-- [Animl Email Relay](https://github.com/tnc-ca-geo/animl-email-relay)
-- [Animl Ingest API](https://github.com/tnc-ca-geo/animl-ingest-api)
-
-### Misc. services
-
-- [Animl ML](http://github.com/tnc-ca-geo/animl-ml)
-- [Animl Analytics](http://github.com/tnc-ca-geo/animl-analytics)
-
-## `Overview`
+## Overview
 
 Animl is an open, extensible, cloud-based platform for managing camera trap data.
 We are developing this platform because there currently are no software tools that allow
@@ -53,7 +27,7 @@ associated deployment resources are managed with the
 - [MongoDB Atlas](https://www.mongodb.com/cloud/atlas) via
   [Mongoose](https://mongoosejs.com/)
 
-## `Development`
+## Development
 
 ### Prerequisites
 
@@ -170,12 +144,12 @@ npm run codegen
 
 The generated types can be found in `src/@types/graphql.ts`
 
-## `Data managment`
+## Data managment
 
 There are a handful of scripts in the `src/scripts/` directory to assist with
 managing data in both the production and dev databases.
 
-### `Creating backups`
+### Creating backups
 
 To create a complete JSON export of all collections in a DB, run:
 
@@ -184,11 +158,11 @@ npm run export-db-dev   // export dev db
 npm run export-db-prod  // export prod db
 ```
 
-### `Importing data from a backups`
+### Importing data from a backups
 
 TODO: write and test `importDb.js`
 
-### `Updating documents in MongoDB`
+### Updating documents in MongoDB
 
 `updateDocuments.js` is a working template for writing targeted data updates.
 It can be adapted to perform specific deletions/updates. You can run it with
@@ -218,3 +192,29 @@ Use caution when deploying to production, as the application involves multiple s
 7. Turn off `IN_MAINTENANCE_MODE` in animl-frontend and animl-ingest, and deploy both to prod, and clear cloudfront cache.
 
 8. Copy any images that happened to land in `animl-images-parkinglot-prod` while the stacks were being deployed to `animl-images-ingestion-prod`, and then delete them from the parking lot bucket.
+
+## Related repos
+
+Animl is comprised of a number of microservices, most of which are managed in their own repositories.
+
+### Core services
+
+Services necessary to run Animl:
+
+- [Animl Ingest](http://github.com/tnc-ca-geo/animl-ingest)
+- [Animl API](http://github.com/tnc-ca-geo/animl-api)
+- [Animl Frontend](http://github.com/tnc-ca-geo/animl-frontend)
+- [EXIF API](https://github.com/tnc-ca-geo/exif-api)
+
+### Wireless camera services
+
+Services related to ingesting and processing wireless camera trap data:
+
+- [Animl Base](http://github.com/tnc-ca-geo/animl-base)
+- [Animl Email Relay](https://github.com/tnc-ca-geo/animl-email-relay)
+- [Animl Ingest API](https://github.com/tnc-ca-geo/animl-ingest-api)
+
+### Misc. services
+
+- [Animl ML](http://github.com/tnc-ca-geo/animl-ml)
+- [Animl Analytics](http://github.com/tnc-ca-geo/animl-analytics)