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87 lines
4.0 KiB
Markdown
87 lines
4.0 KiB
Markdown
---
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title: Planning your installation
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parent: Installation
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nav_order: 1
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permalink: /installation/planning
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---
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# Planning your installation
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## Database
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Dendrite can run with either a PostgreSQL or a SQLite backend. There are considerable tradeoffs
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to consider:
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* **PostgreSQL**: Needs to run separately to Dendrite, needs to be installed and configured separately
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and will use more resources over all, but will be **considerably faster** than SQLite. PostgreSQL
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has much better write concurrency which will allow Dendrite to process more tasks in parallel. This
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will be necessary for federated deployments to perform adequately.
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* **SQLite**: Built into Dendrite, therefore no separate database engine is necessary and is quite
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a bit easier to set up, but will be much slower than PostgreSQL in most cases. SQLite only allows a
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single writer on a database at a given time, which will significantly restrict Dendrite's ability
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to process multiple tasks in parallel.
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At this time, we **recommend the PostgreSQL database engine** for all production deployments.
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## Requirements
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Dendrite will run on Linux, macOS and Windows Server. It should also run fine on variants
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of BSD such as FreeBSD and OpenBSD. We have not tested Dendrite on AIX, Solaris, Plan 9 or z/OS —
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your mileage may vary with these platforms.
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It is difficult to state explicitly the amount of CPU, RAM or disk space that a Dendrite
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installation will need, as this varies considerably based on a number of factors. In particular:
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* The number of users using the server;
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* The number of rooms that the server is joined to — federated rooms in particular will typically
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use more resources than rooms with only local users;
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* The complexity of rooms that the server is joined to — rooms with more members coming and
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going will typically be of a much higher complexity.
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Some tasks are more expensive than others, such as joining rooms over federation, running state
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resolution or sending messages into very large federated rooms with lots of remote users. Therefore
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you should plan accordingly and ensure that you have enough resources available to endure spikes
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in CPU or RAM usage, as these may be considerably higher than the idle resource usage.
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At an absolute minimum, Dendrite will expect 1GB RAM. For a comfortable day-to-day deployment
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which can participate in federated rooms for a number of local users, be prepared to assign 2-4
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CPU cores and 8GB RAM — more if your user count increases.
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If you are running PostgreSQL on the same machine, allow extra headroom for this too, as the
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database engine will also have CPU and RAM requirements of its own. Running too many heavy
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services on the same machine may result in resource starvation and processes may end up being
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killed by the operating system if they try to use too much memory.
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## Dependencies
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In order to install Dendrite, you will need to satisfy the following dependencies.
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### Go
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At this time, Dendrite supports being built with Go 1.18 or later. We do not support building
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Dendrite with older versions of Go than this. If you are installing Go using a package manager,
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you should check (by running `go version`) that you are using a suitable version before you start.
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### PostgreSQL
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If using the PostgreSQL database engine, you should install PostgreSQL 12 or later.
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### NATS Server
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Dendrite comes with a built-in [NATS Server](https://github.com/nats-io/nats-server) and
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therefore does not need this to be manually installed.
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### Reverse proxy
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A reverse proxy such as [Caddy](https://caddyserver.com), [NGINX](https://www.nginx.com) or
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[HAProxy](http://www.haproxy.org) is useful for deployments. Configuring this is not covered in this documentation, although sample configurations
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for [Caddy](https://github.com/matrix-org/dendrite/blob/main/docs/caddy) and
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[NGINX](https://github.com/matrix-org/dendrite/blob/main/docs/nginx) are provided.
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### Windows
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Finally, if you want to build Dendrite on Windows, you will need `gcc` in the path. The best
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way to achieve this is by installing and building Dendrite under [MinGW-w64](https://www.mingw-w64.org/).
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