docs: some docs on how to deploy a new service

docs/how-to-deploy-a-new-service.md

@@ -0,0 +1,62 @@
+# How to deploy a new service
+
+Open Food Facts is made of several components and tools for the community or to manage the innfrastructure.
+
+Each of those service will cost resources and have certain requirements to run.
+It's important to keep those things in mind when deploying a new service.
+
+## Decide where to deploy
+
+First you have to decide the way you will deploy your service:
+
+* using [docker-compose](./docker_architecture.md) is the preferred way to deploy a service that have developments.
+  It enables an easy updgrade of main components, a good reproducibility of the environment,
+  and a good integration in [CI/CD tools](./cicd.md)
+
+  Docker compose are to be deployed in a VM. We are also experimenting deploying them in containers, but there is no official support for that.
+
+* using a [proxmox container](./proxmox.md#how-to-create-a-new-container) is the second best option.
+  Use this if you deploy a service that is packaged in debian,
+  or that updates easily in such environment (eg. a PHP software).
+
+That decided you have to choose the best server to deploy your service.
+This is done in coordination with the infrastructure team.
+
+Factors to consider:
+* resources needed by the service
+* latency needed to access other services (or the other way around)
+* how critical the service is
+
+
+## Separating data from the system
+
+It's important to try to separate data from the system.
+
+You have different types of data:
+* Primary source Data
+* Indexes (that can be rebuilt)
+* Caches and temporary data
+* Logs
+* Configurations data
+
+Separating Data has a lot of benefits:
+* It enables updating the system without putting data at risk and enabling a roll-back without loosing data
+* It's enables putting data on faster disks if needed.
+
+Of course if your service is not very important, does not have much data, and you can afford loosing some data, it might not be worth the effort.
+
+## Watch for performance after deployment
+
+If your service is heavy duty, try to do some performance check in staging.
+
+After deployment you should also check
+how the new service impacts the performance of the whole system.
+
+[Munin](./munin.md) offers a good way to check that,
+as you can compare performances before and after deployment.
+
+Some key indicators to monitor:
+* CPU usage (also look at I/O wait time)
+* RAM usage
+* disk Usage (utilization per device)
+* Pressure stall information, gives you indication on the bottleneck between CPU, disk and RAM

docs/index.md

@@ -78,6 +78,8 @@ For a detailed overview of our production architecture, see [Production Architec
 
 Other tools supporting the community are deployed in containers, some times on the same servers.
 
+If you deploy a new service, see [How to deploy a new service](./how-to-deploy-a-new-service.md).
+
 ## Repository Structure
 
 The repository is organized into several directories, each serving a specific purpose: