Jot streamlines the creation and management of AWS Lambda functions written in Julia.
Via the Pkg API:
julia> import Pkg; Pkg.add(url="https://github.com/harris-chris/Jot.jl#main")
Amazon Web Services does not provide native support for Julia, so functions must be put into docker containers which implement AWS's Lambda API, and uploaded to AWS Elastic Container Registry (ECR). Jot aims to abstract these complexities away, allowing both julia packages and scripts to be turned into low-latency Lambda functions.
More examples can be found in the examples page, but this can be as simple as:
1. From the JULIA REPL, create a simple script to use as a lambda function...
open("increment_vector.jl", "w") do f
write(f, "increment_vector(v::Vector{Int}) = map(x -> x + 1, v)")
end
2. ...and turn it into a Responder
increment_responder = get_responder("./increment_vector.jl", :increment_vector, Vector{Int})
3. Create a local docker image that will implement the responder
local_image = create_local_image(increment_responder; image_suffix="increment-vector")
4. Push this local docker image to AWS ECR
remote_image = push_to_ecr!(local_image)
5. Create a lambda function from this remote_image...
increment_vector_lambda = create_lambda_function(remote_image)
6. ... and test it to see if it's working OK
@test run_lambda_function_test(
increment_vector_lambda, [2,3,4], [3,4,5]; check_function_state=true
) |> first
- STABLE — documentation of the most recently tagged version.
- DEVEL — documentation of the in-development version.
The package is tested against Julia versions 1.5 and above on Linux. It also requires Docker (tested against version 20) and the AWS CLI (tested against version 2).