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Lucas Roesler authored
**What** - During function creation, accept an array of strings defining swarm secrets that are required for the service - Update docs - Add new guide on using the secrets capability - Add new sample function to highlight using environment variables - Update `ApiKeyProtected` sample function to utilize the new secrets capabilities **Why** - This allows secrets to remain encrypted at rest instead of being unencrypted in environment variables and yaml files. Fixes #285 Signed-off-by:
Lucas Roesler <lucas.roesler@gmail.com>
Lucas Roesler authored**What** - During function creation, accept an array of strings defining swarm secrets that are required for the service - Update docs - Add new guide on using the secrets capability - Add new sample function to highlight using environment variables - Update `ApiKeyProtected` sample function to utilize the new secrets capabilities **Why** - This allows secrets to remain encrypted at rest instead of being unencrypted in environment variables and yaml files. Fixes #285 Signed-off-by:
Lucas Roesler <lucas.roesler@gmail.com>
Guide on using Docker Swarm Secrets with OpenFaaS
OpenFaaS deploys functions as Docker Swarm Services, as result there are several features that we can leverage to simplify the development and subsquent deployment of functions to hardened production environments.
First an most simple is the ability to set environment variables at deploy time. For example, you might want to set the NODE_ENV
or DEBUG
variable. If you are interacting with the OpenFaaS gateway via the api, seeting the NODE_ENV
might look like this
curl -H "Content-Type: application/json" \
-X POST \
-d '{"service":"nodeinfo","network":"func", "image": "functions/nodehelloenv:latest", "envVars": {"NODE_ENV": "production"}}' \
http://localhost:8080/system/functions
This particular function returns a simple sentence that contains the NODE_ENV
in it.
$ curl -X POST \
-H 'Content-Type: text/plain' \
-H 'Content-Length: 0' \
http://localhost:8080/function/nodehelloenv
Hello from a production machine
A very tempting thing to do is to now add database password or api secrets as environment variables. However, this is not secure. Instead, we can leverage the Docker Swarm Secrets feature to safely store and give our functions access to the needed values. Using secrets is a two step process. Take the ApiKeyProtected example function, when we deploy this function we provide a secret key that it uses to authenticate requests to it. First we must add a secret to the swarm
docker secret create secret_api_key ~/secrets/secret_api_key.txt
where ~/secrets/secret_api_key.txt
is a simple text file that might look like this
R^Y$qzKzSJw51K9zP$pQ3R3N
Equivalently, you can pipe the value to docker via stdin like this
echo "R^Y$qzKzSJw51K9zP$pQ3R3N" | docker secret create secret_api_key -
Now, with the secret defined, we can deploy the function like this
curl -H "Content-Type: application/json" \
-X POST \
-d '{"service":"protectedapi","network":"func_functions", "image": "functions/api-key-protected:latest", "secrets": ["secret_api_key"]}' \
http://localhost:8080/system/functions
Now you can test the function with these commands
$ curl -H "Content-Type: application/json" \
-X POST \
-H "X-Api-Key: R^Y$qzKzSJw51K9zP$pQ3R3N" \
-d '{}' \
http://localhost:8080/function/protectedapi
Unlocked the function!
$ curl -H "Content-Type: application/json" \
-X POST \
-H "X-Api-Key: wrong_key" \
-d '{}' \
http://localhost:8080/function/protectedapi
Access denied!
Note that unlike the envVars
in the first example, we do not provide the secret value, just a list of names: "secrets": ["secret_api_key"]
. The secret value has already been securely stored in the Docker swarm. One really great result of this type of configuration is that you can simplify your function code by always referencing the same secret name, no matter the environment, the only change is how the environments are configured.