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# TODO: Change this to a unique secret for this server
SESSION_SECRET: "TODO:ReplaceWithLongString" | [
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USE_FRONTEND_2: "true"
# TODO: Change this to the URL of the speckle server, as accessed from the network
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preview-service:
image: speckle/speckle-preview-service:2
restart: always
depends_on:
speckle-server:
condition: service_healthy
mem_limit: "1000m"
memswap_limit: "1000m"
environment:
DEBUG: "preview-service:*"
PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle" | [
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webhook-service:
image: speckle/speckle-webhook-service:2
restart: always
depends_on:
speckle-server:
condition: service_healthy
environment:
DEBUG: "webhook-service:*"
PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle"
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fileimport-service:
image: speckle/speckle-fileimport-service:2
restart: always
depends_on:
speckle-server:
condition: service_healthy
environment:
DEBUG: "fileimport-service:*"
PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle"
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] |
- `CANONICAL_URL` to the url used to access this speckle server. This can be `http://[PUBLIC_IP]` or `http://[DOMAIN_NAME]`
- `NUXT_PUBLIC_API_ORIGIN` to the same value as set for `CANONICAL_URL`
- `NUXT_PUBLIC_BASE_URL` to the same value as set for `CANONICAL_URL`
- `FRONTEND_ORIGIN` to the same value as set for `CANONICAL_URL`
- For added security, change the `SESSION_SECRET` to a unique secret value for this deployment. | [
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] |
The server also supports some other environment variables. You can see them in our [.env-example file from the git repo](https://github.com/specklesystems/speckle-server/blob/main/packages/server/.env-example). | [
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- set up a dns record, that points to the public ip of your VM
- add a new entry into the services into the previously defined docker-compose.yml | [
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```yaml
services:
reverse-proxy:
image: traefik:v2.10
restart: always
command:
- "--providers.docker=true"
- "--providers.docker.exposedbydefault=false"
- "--entrypoints.websecure.address=:443"
- "--certificatesresolvers.myresolver.acme.tlschallenge=true"
# To use Let's Encrypt staging server instead of production, uncomment the following line
#- "--certificatesresolvers.myresolver.acme.caserver=https://acme-staging-v02.api.letsencrypt.org/directory"
# TODO: replace `{your@example.com}` with your actual email
- "--certificatesresolvers.myresolver.acme.email=your@example.com"
- "--certificatesresolvers.myresolver.acme.storage=/letsencrypt/acme.json"
# To enable the Traefik web UI (enabled by --api.insecure=true); this is not recommended as it will expose the Traefik dashboard to the internet
#- "--api.insecure=true" | [
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] |
ports:
# The HTTPS port (required for Traefik to listen to HTTPS requests)
- "443:443"
# The Traefik Web UI port if enabled by --api.insecure=true
- "8080:8080"
volumes:
- "./letsencrypt:/letsencrypt"
# So that Traefik can listen to the Docker events
- "/var/run/docker.sock:/var/run/docker.sock:ro"
``` | [
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] |
- make sure to replace `your@example.com` for the `--certificatesresolvers.myresolver.acme.email` with an email that belongs to you. This is used by Let's Encrypt to notify you about certificate expiration.
- modify the speckle-ingress service definition by removing all exposed ports
- modify the speckle-ingress with some extra labels like below: | [
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] |
```yaml
speckle-ingress:
image: speckle/speckle-docker-compose-ingress:2
restart: always
ports: [] #TODO remove all exposed ports
environment:
FILE_SIZE_LIMIT_MB: "100"
NGINX_ENVSUBST_OUTPUT_DIR: "/etc/nginx"
#TODO add these labels
labels:
- "traefik.enable=true"
#TODO: replace `example.com` with your domain. This should just be the domain, and do not include the protocol (http/https).
- "traefik.http.routers.speckle-ingress.rule=Host(`example.com`)"
- "traefik.http.routers.speckle-ingress.entrypoints=websecure"
- "traefik.http.routers.speckle-ingress.tls.certresolver=myresolver"
- "traefik.http.services.speckle-ingress.loadbalancer.server.port=8080"
``` | [
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] |
By default, Docker will log output from Speckle to a file on the host machine. For legacy reasons Docker defaults to a logging driver which does not manage logs well and will quickly fill up disk space with logs. Docker recommends configuring Docker to use a different logging driver, such as `local`, to prevent this problem. Please follow the instructions in [Docker's documentation](https://docs.docker.com/config/containers/logging/configure) to amend your Docker settings. | [
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- Run PostgreSQL inside docker, with data files stored in `/opt/speckle/postgres-data/`
- Run Redis inside docker, with data files stored in `/opt/speckle/redis-data/`
- Run MinIO inside docker, with data files stored in `/opt/speckle/minio-data/`
- Run the Server component, configured for this environment.
- Run the Frontend component, exposing port 80 to the network the VM is in.
- Run the other microservices for extending the SpeckleServer functionality ( `preview-service`, `webhook-service`, `fileimport-service` ) | [
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If you plan to run PostgreSQL, Redis and and S3-compatible object storage service separately, for example as managed deployments by a cloud provider (DigitalOcean, AWS, Azure, etc), you can follow the same instructions as above, but with this simplified `docker-compose.yml` file: | [
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```yaml
version: "2.3"
services:
speckle-ingress:
image: speckle/speckle-docker-compose-ingress:2
restart: always
ports:
- "0.0.0.0:80:8080"
environment:
FILE_SIZE_LIMIT_MB: "100"
NGINX_ENVSUBST_OUTPUT_DIR: "/etc/nginx" | [
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speckle-frontend-2:
image: speckle/speckle-frontend-2:2
restart: always
environment:
NUXT_PUBLIC_SERVER_NAME: "local"
# TODO: Change NUXT_PUBLIC_API_ORIGIN to the URL of the speckle server, as accessed from the network. This is the same value as should be used for the CANONICAL_URL in the server section below.
NUXT_PUBLIC_API_ORIGIN: "http://127.0.0.1"
NUXT_PUBLIC_BACKEND_API_ORIGIN: "http://speckle-server:3000"
# TODO: Change NUXT_PUBLIC_BASE_URL to the URL of the speckle frontend, as accessed from the network. This is the same value as should be used for the CANONICAL_URL in the server section below.
NUXT_PUBLIC_BASE_URL: "http://127.0.0.1"
NUXT_PUBLIC_LOG_LEVEL: 'warn'
NUXT_REDIS_URL: "redis://redis" | [
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] |
speckle-server:
image: speckle/speckle-server:2
restart: always
healthcheck:
test:
[
"CMD",
"node",
"-e",
"try { require('node:http').request({headers: {'Content-Type': 'application/json'}, port:3000, hostname:'127.0.0.1', path:'/graphql?query={serverInfo{version}}', method: 'GET', timeout: 2000 }, (res) => { body = ''; res.on('data', (chunk) => {body += chunk;}); res.on('end', () => {process.exit(res.statusCode != 200 || body.toLowerCase().includes('error'));}); }).end(); } catch { process.exit(1); }",
]
interval: 10s
timeout: 3s
retries: 30
environment:
# TODO: Change this to the URL of the speckle server, as accessed from the network
CANONICAL_URL: "http://127.0.0.1" | [
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# TODO: Change this to a unique secret for this server
SESSION_SECRET: "TODO:ReplaceWithLongString" | [
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# TODO: Change to PostgreSQL connection details:
POSTGRES_URL: "postgres"
POSTGRES_USER: "speckle"
POSTGRES_PASSWORD: "speckle"
POSTGRES_DB: "speckle" | [
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# TODO: Change to redis connection string:
REDIS_URL: "redis://redis" | [
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] |
# TODO: Change to ObjectStorage connection information (s3-compatible):
S3_ENDPOINT: "http://minio:9000"
S3_ACCESS_KEY: "minioadmin"
S3_SECRET_KEY: "minioadmin"
S3_BUCKET: "speckle-server" | [
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USE_FRONTEND_2: "true"
# TODO: Change this to the URL of the speckle server, as accessed from the network
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preview-service:
image: speckle/speckle-preview-service:2
restart: always
depends_on:
speckle-server:
condition: service_healthy
mem_limit: "1000m"
memswap_limit: "1000m"
environment:
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# TODO: Change to PostgreSQL connection string:
PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle" | [
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webhook-service:
image: speckle/speckle-webhook-service:2
restart: always
depends_on:
speckle-server:
condition: service_healthy
environment:
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# TODO: Change to PostgreSQL connection string:
PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle" | [
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fileimport-service:
image: speckle/speckle-fileimport-service:2
restart: always
depends_on:
speckle-server:
condition: service_healthy
environment:
DEBUG: "fileimport-service:*"
SPECKLE_SERVER_URL: "http://speckle-server:3000" | [
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# TODO: Change to PostgreSQL connection string:
PG_CONNECTION_STRING: "postgres://speckle:speckle@postgres/speckle" | [
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] |
# TODO: Change to ObjectStorage connection information (s3-compatible):
S3_ENDPOINT: "http://minio:9000"
S3_ACCESS_KEY: "minioadmin"
S3_SECRET_KEY: "minioadmin"
S3_BUCKET: "speckle-server"
``` | [
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This deployment mechanism doesn't provide an automatic update mechanism,
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We recommend first backing up your data prior to modifying or updating the
server. You can find instructions on how to do that [here](./server-database-migration.md). | [
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1. connect to the virtual machine running the Speckle server instance
1. navigate to the folder, where the Speckle server docker-compose file is located
1. run `docker compose down` (this will take the server offline)
1. review the latest changes in this guide against your `docker-compose.yml` file, and amend as necessary.
1. run `docker compose pull` (this will retrieve the latest images)
1. run `docker compose up -d` (this starts the server stack, and runs it in the background) | [
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If you made some changes to the server and want to run those instead of the official releases, we created some useful docker-compose.yml files to help with that. | [
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] |
::: tip
If you set up PostgreSQL, Redis and S3-compatible service outside of this VM (for example a managed deployment from a cloud provider), you can skip this step, but remember to set up the correct environment variables later
::: | [
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] |
To get the PostgreSQL, Redis and MinIO dependencies up and running in the VM, our git repo contains
[a docker compose file](https://github.com/specklesystems/speckle-server/blob/main/docker-compose-deps.yml)
for running these dependencies locally in docker containers. | [
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It also includes `PGAdmin` and `redis-insight` to be able to explore the raw data. If you don't need them, you can safely remove those entries from the `docker-compose-deps.yml` file. | [
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- _PostgreSQL v13_, listening only on `127.0.0.1:5432` with default credentials `speckle`:`speckle` and a database named `speckle`.
- _Redis v6_, listening only on `127.0.0.1:6379`
- _PGAdmin4_, listening only on `127.0.0.1:16543` with default credentials `admin@localhost` : `admin`
- _Redis Insight_, listening only on `127.0.0.1:8001`
- _MinIO_, listening on `127.0.0.1:9000` with the API endpoint and on `127.0.0.1:9001` with the Web Management Interface (default credentials used: `minioadmin`/`minioadmin`) | [
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All of the above containers listen on the local loopback interface (`127.0.0.1`) and are NOT accessible from the local network (for security, since they use default credentials) | [
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To use PGAdmin, after login you can configure a server connection to the host `postgres` (user `speckle`, password `speckle`, database `speckle`) | [
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To use Redis Insight, you can configure it to connect to the hostname `redis` (port `6379`) | [
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Docker Compose creates named docker volumes for storing data for each of the containers, so data is persisted.
You can view existing docker volumes with `docker volume ls` and delete a volume and existing data with `docker volume rm [volume_name]` | [
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The git repository contains [a docker compose file](https://github.com/specklesystems/speckle-server/blob/main/docker-compose-speckle.yml) for building and running the Speckle server frontend and backend in docker containers. | [
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To use it, first edit the variables in the `docker-compose-speckle.yml` file to reflect your environment. Then, you can start them with: | [
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This will run the following containers, and will automatically launch them at system startup: | [
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] |
- _docker-compose-ingress_, an nginx container that routes traffic to either speckle-frontend-2 or speckle-server as required. This is exposed on port 80 in the VM network.
- _speckle-frontend-2_, the frontend Vue app. It doesn't expose any port outside of the internal docker network.
- _speckle-server_, the `server` component. It doesn't expose any port outside of the internal docker network.
- _preview-service_, the component that generates stream previews. Doesn't expose any port outside of the internal docker network.
- _webhook-service_, the component that calls webhooks. Doesn't expose any port outside of the internal docker network.
- _fileimport-service_, the component that imports uploaded files. Doesn't expose any port outside of the internal docker network. | [
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See the dedicated getting started with speckle server development [page](/dev/server-local-dev).
# REST API | [
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Our Speckle Server offers both a [GraphQL API](/dev/server-graphql-api) and a REST API, for most of your queries the GQL API is probably best suited because of its flexibility and ease of use.
When working with uploading and downloading objects, the REST API is preferred. | [
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This method is useful for optimizing uploads, so that objects that are already in the stream are not uploaded for every commit. | [
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**Output:** A JSON representation of a dictionary, where the keys are the input object ids, and the values are boolean values (whether the server already has that object or not) | [
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] |
This method is useful when optimizing downloads: Get the root object without children, check the children ids in the local cache and then request only the new objects with this method. | [
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- If `Accept` is `text/plain`, each line of the output contains 1 object in the format: `{object_id}\t{object_content}`
- If `Accept` is `application/json`, the output is a JSON representation of an array of objects.
# Deploying a Server - Kubernetes | [
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To ease new deployments, we are maintaining [a Kubernetes Helm chart](https://specklesystems.github.io/helm/). | [
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::: tip IMPORTANT
This setup is not recommended for use as-is in production for a few reasons, namely: | [
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] |
- application level updates: we tend to move quite fast, and if things get busy, blink twice and you’re on an outdated server. This has security implications too.
- database backups: again this is up to you mostly on what’s your risk appetite when it comes to dealing with live data. We’re a bit more on the paranoid side, so we’ve set up replication, failover nodes and PITR.
- automatic scalability: for example, the preview service can be quite a monster; that setup can eat up all a vm’s resources, and starve other processes causing general system wide instability. Cloud providers can provide horizontal VM auto-scaling and Kubernetes can provide horizontal pod auto-scaling but these are not discussed in this guide.
- monitoring: this setup does not describe integrations for telemetry, metrics, tracing, or logging. Nor does it describe alerting or response actions.
- firewall and network hardening: running in production requires additional security hardening measures, particularly protecting the network from intrusion or data exfiltration. | [
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If you need help deploying a production server, [we can help](https://speckle.systems/getstarted/)!
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] |
- [Required] A [DigitalOcean](https://www.digitalocean.com/) account. Please note that this guide will create resources which may incur a charge on DigitalOcean.
- [Required] [Helm CLI](https://helm.sh/docs/intro/install/) installed.
- [Required] [Kubernetes CLI client](https://kubernetes.io/docs/tasks/tools/#kubectl) installed.
- [Required] A domain name, or a sub-domain to which a DNS A Record can be added.
- [Optional] An email service provider account of your choice (to allow the server to send emails)
- [Optional] An authentication service of your choice (to allow the server to authenticate users), otherwise username & password authentication will be used.
- [Optional] The [DigitalOcean CLI client](https://docs.digitalocean.com/reference/doctl/how-to/install/) installed. | [
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- Go to your DigitalOcean dashboard and [create a new Kubernetes cluster](https://cloud.digitalocean.com/kubernetes/clusters/new). We provided the cluster a name, but otherwise left configuration as per DigitalOcean's recommended defaults. When prompted to select the node count and size, we selected four nodes. Each node has the default 2 vcpu and 4Gb (`s-2vcpu-4gb`). While this is a minimum, your usage may vary and we recommend testing under your typical loads and adjusting by deploying new nodes or larger sized machines in new node-pools.
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] |
- Configure other options for your Kubernetes cluster and click the `Create Cluster` button. After the cluster is created and initialized, you should see it in your list of kubernetes clusters:
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- To log into the cluster, follow the getting started guide on the DigitalOcean dashboard for your cluster. We recommend the automated option of updating your local Kubernetes configuration (kubeconfig) using the [DigitalOcean client, `doctl`](https://docs.digitalocean.com/reference/doctl/how-to/install/).
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- After downloading the kubernetes config, you can verify that your kubernetes client has the cluster configuration by running the following command. A list of kubernetes clusters will be printed, your cluster context should have the prefix `do-`. Make a note of the name, you will use this in place of `${YOUR_CLUSTER_CONTEXT_NAME}` in most of the following steps of this guide.
```shell
kubectl config get-contexts
```
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- Verify that you can connect to the cluster using kubectl by running the following command to show the nodes you have provisioned. Remember to replace `${YOUR_CLUSTER_CONTEXT_NAME}` with the name of your cluster. | [
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-0.23366664350032806,
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-0.3542976677417755,
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-0.090459905564785,
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-0.29436707496643066,
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-1.065671443939209,
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0.19670552015304565,
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1.035638689994812,
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-0.7191894054412842,
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0.051962099969387054,
-1.084765076637268,
0.11643081158399582,
0.24736101925373077,
0.22107721865177155,
-0.5575546026229858,
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0.5484409928321838,
1.2167714834213257,
-0.17050139605998993,
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0.6410397291183472,
0.13464471697807312,
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0.21300949156284332,
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0.1620798110961914,
-1.1851062774658203,
0.14167706668376923,
0.3981260657310486,
0.30909985303878784,
0.5383526682853699,
-0.19800399243831635,
0.5971540212631226,
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-0.12797461450099945,
-0.5664395689964294,
0.6155537366867065,
0.18294285237789154,
-0.7629532217979431,
-0.3008630871772766,
0.504268229007721,
-1.3600349426269531,
-0.2982449233531952,
0.6308411955833435,
-0.049315195530653,
-0.27299392223358154,
-0.07828060537576675,
-0.5217494964599609,
0.10523316264152527,
0.08415897935628891,
0.4297771453857422,
0.9504029154777527,
-0.10751593858003616,
0.18313972651958466,
-0.6077396869659424,
0.48467376828193665,
0.6481798887252808,
-0.9218777418136597,
-0.41951844096183777,
0.41506534814834595,
0.08122099190950394,
0.12897604703903198,
0.3503541946411133,
-0.07919617742300034,
0.34152400493621826,
0.0758817195892334,
-0.1795555204153061,
0.024683116003870964,
0.03623237460851669,
0.24878019094467163,
-0.32684624195098877,
0.3205697238445282,
-0.4612431824207306
] |
```shell
kubectl get nodes --context "${YOUR_CLUSTER_CONTEXT_NAME}"
```
- You should see something like the following:
 | [
-0.7573797702789307,
-0.9707885384559631,
0.9941679835319519,
-0.4422667920589447,
-0.7356573343276978,
0.5520240068435669,
0.2622416019439697,
0.055972833186388016,
0.8913143277168274,
0.7819830775260925,
-0.8434352874755859,
-1.1169910430908203,
-1.0961532592773438,
-0.06903518736362457,
-0.027870474383234978,
0.5872647762298584,
0.7135310769081116,
-0.18986283242702484,
-0.20579776167869568,
-0.1308569610118866,
-0.23308730125427246,
-0.015660671517252922,
-0.9214721322059631,
-0.04288074001669884,
0.6232602596282959,
0.7779679894447327,
0.542119026184082,
0.4631553590297699,
0.34346774220466614,
0.4363197088241577,
-0.17841048538684845,
-0.25989288091659546,
-0.026546528562903404,
-0.11563368141651154,
-0.012033729813992977,
-0.10193933546543121,
-0.09414755553007126,
-0.16639231145381927,
1.4521955251693726,
0.9266504645347595,
0.2632223665714264,
-0.011007052846252918,
-0.20767831802368164,
0.43632060289382935,
-0.8366089463233948,
0.13552285730838776,
-0.29738134145736694,
0.357938289642334,
-0.051709093153476715,
0.07852042466402054,
-0.21512922644615173,
-0.7827882766723633,
-0.12829674780368805,
-0.8337891101837158,
-0.11788804829120636,
0.23776517808437347,
1.147093415260315,
0.13016626238822937,
-1.082289695739746,
0.05457630380988121,
-0.4661228060722351,
0.6435565948486328,
-0.5399693846702576,
0.42732489109039307,
0.7404958009719849,
0.9345459342002869,
-0.4142726957798004,
-1.2292202711105347,
-0.13737215101718903,
-0.21597136557102203,
-0.7253457903862,
0.22410224378108978,
-0.0423966608941555,
-0.04464644193649292,
0.27260494232177734,
0.42274725437164307,
0.04336440563201904,
-0.5047693252563477,
-0.7549511194229126,
-0.4882128834724426,
0.2972716987133026,
0.16070771217346191,
0.06974974274635315,
-0.03541846573352814,
-0.4312126636505127,
-0.41333431005477905,
-0.09434554725885391,
0.28627851605415344,
-0.08299537003040314,
0.20421284437179565,
-0.5119917392730713,
0.35684528946876526,
-0.43828463554382324,
0.47865357995033264,
0.48633062839508057,
-0.16729161143302917,
0.5306238532066345,
-0.3223136365413666,
-0.3296424448490143,
0.08691870421171188,
0.7433845400810242,
0.27651283144950867,
-0.6289254426956177,
-0.4015529155731201,
0.3073015511035919,
-0.09817689657211304,
0.29979950189590454,
-0.8293237686157227,
-0.1261254847049713,
0.4026619493961334,
-0.6052559018135071,
-0.7821983098983765,
0.8676168918609619,
-1.1424890756607056,
-0.19748012721538544,
0.3655813932418823,
0.18744289875030518,
-0.29644933342933655,
-0.48695680499076843,
-0.5298964977264404,
-0.6459050178527832,
0.2574636936187744,
0.3168884813785553,
-0.19695952534675598,
0.4066596031188965,
0.3735750615596771,
0.6937242150306702,
-0.039982154965400696,
-0.05269688367843628,
-0.7574281096458435,
0.20603342354297638,
-0.26728057861328125,
0.8060165047645569,
-0.6345860362052917,
-1.071759581565857,
-0.015171689912676811,
1.0965900421142578,
0.05947054922580719,
-0.5841718316078186,
0.6606267690658569,
-0.525002658367157,
0.02829371765255928,
-0.6859031319618225,
-0.4130581021308899,
-0.6588504314422607,
-0.21645405888557434,
-0.8021003007888794,
1.2342309951782227,
0.6602910757064819,
-0.7713414430618286,
0.5669199824333191,
-0.7746739387512207,
-0.3362289071083069,
0.6362513303756714,
-0.39670300483703613,
-0.17844025790691376,
0.07741773128509521,
-0.3321231007575989,
0.47309425473213196,
0.13394862413406372,
-0.014813552610576153,
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] |
If you already have Redis, Postgres, and Blob storage available, you can skip this step. You will need the connection details for these services when configuring your deployment in [step 4](#step-4-configure-your-deployment). | [
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Speckle requires a Redis database to function. You can provide your own if you have an existing database. Otherwise, follow the following steps to create a new Redis database in DigitalOcean. | [
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- We will deploy a managed Redis provided by DigitalOcean. Go to the [new Database creation page](https://cloud.digitalocean.com/databases/new). Firstly, select the same region and VPC as you used when deploying your Kubernetes cluster, and select Redis. Provide a name, and click `Create Database Cluster`.
Again we used the default sizes, but your usage will vary and we recommend testing under your typical loads and adjusting by the database size as necessary.
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- From the overview, click on `Secure this database cluster by restricting access.`. This will take you to the Trusted Sources panel in the Settings tab. Here we will improve the security of your database by only allowing connections from your Kubernetes cluster. Type the name of your Kubernetes cluster and add it as a Trusted Source.
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- In the Overview tab for your Redis database. Select `connection string` from the dropdown, and copy the displayed Connection String. You will require this when configuring your deployment in [step 4](#step-4-configure-your-deployment).
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Speckle requires a Postgres database to function. You can provide your own if you have an existing database. Otherwise, follow the following steps to create a new Postgres database in DigitalOcean. | [
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- We will now deploy a managed Postgres provided by DigitalOcean. Go to the [new Database creation page](https://cloud.digitalocean.com/databases/new). Firstly, select the same region and VPC as you used when deploying your Kubernetes cluster, and then select Postgres. Provide a name, and click `Create Database Cluster`.
Again we used the default sizes, but your usage will vary and we recommend testing under your typical loads and adjusting by the database size as necessary.
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- From the overview page for your Postgres database, click on `Secure this database cluster by restricting access`. This will take you to the Trusted Sources panel in the Settings tab. Here we will improve the security of your database by only allowing connections from your Kubernetes cluster. Type the name of your Kubernetes cluster and add it as a Trusted Source.
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- In the Overview tab for your Redis database. Select `connection string` from the dropdown, and copy the displayed Connection String. You will require this for when configuring your deployment in [step 4](#step-4-configure-your-deployment).
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- Navigate to the [Create a Space page](https://cloud.digitalocean.com/spaces/new). Please select a region of your choice, we recommend the same region as you have deployed the cluster. We did not enable the CDN and we restricted the file listing for security purposes. Please provide a name for your Space, this has to be unique in the region so please use a different name than our example. Make a note of this name, this is the `bucket` value which we will require when configuring your deployment in [step 4](#step-4-configure-your-deployment). Click on `Create Space`.
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] |
- Now navigate to the [API page](https://cloud.digitalocean.com/account/api/tokens) in DigitalOcean. Next to the `Spaces access keys` heading, click `Generate New Key`. You will only be able to see the Secret value once, so copy the name, the key and the secret and store this securely.
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- Kubernetes allows applications to be separated into different namespaces. We can create a namespace in our Kubernetes cluster with the following command. Replace `${YOUR_CLUSTER_CONTEXT_NAME}` with the name of your cluster.:
```shell
kubectl create namespace speckle --context "${YOUR_CLUSTER_CONTEXT_NAME}"
```
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- Verify that the namespace was created by running the following command. You should see a list of namespaces, including `speckle`. The other existing namespaces were created by Kubernetes and are required for Kubernetes to run. Replace `${YOUR_CLUSTER_CONTEXT_NAME}` with the name of your cluster.
```shell
kubectl get namespace --context "${YOUR_CLUSTER_CONTEXT_NAME}"
```
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] |
```shell
kubectl create secret generic server-vars \
--context "${YOUR_CLUSTER_CONTEXT_NAME}" \
--namespace speckle \
--from-literal=redis_url="${YOUR_REDIS_CONNECTION_STRING}" \
--from-literal=postgres_url="${YOUR_POSTGRES_CONNECTION_STRING}" \
--from-literal=s3_secret_key="${YOUR_SPACES_SECRET}" \
--from-literal=session_secret="${YOUR_SECRET}" \
--from-literal=email_password="${YOUR_EMAIL_SERVER_PASSWORD}" # optional, only required if you wish to enable email invitations
``` | [
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] |
- You can verify that your secret was created correctly by running the following command. Replace `${YOUR_CLUSTER_CONTEXT_NAME}` with the name of your cluster.: | [
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] |
```shell
kubectl describe secret server-vars --namespace speckle --context "${YOUR_CLUSTER_CONTEXT_NAME}"
```
 | [
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] |
- To view the contents of an individual secret, you can run the following replacing `redis_url` with the key you require and replacing `${YOUR_CLUSTER_CONTEXT_NAME}` with the name of your cluster.: | [
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0.03926388919353485,
0.40857282280921936,
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-0.6036422252655029
] |
```shell
kubectl get secret server-vars --context "${YOUR_CLUSTER_CONTEXT_NAME}" \
--namespace speckle \
--output jsonpath='{.data.redis_url}' | base64 --decode
``` | [
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