Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/triggermesh/aws-custom-runtime
Knative Function Using the AWS Lambda Runtime API
https://github.com/triggermesh/aws-custom-runtime
aws aws-lambda knative kubernetes management platform serverless
Last synced: 3 months ago
JSON representation
Knative Function Using the AWS Lambda Runtime API
- Host: GitHub
- URL: https://github.com/triggermesh/aws-custom-runtime
- Owner: triggermesh
- License: apache-2.0
- Archived: true
- Created: 2018-11-30T09:40:55.000Z (about 6 years ago)
- Default Branch: main
- Last Pushed: 2023-09-18T10:34:44.000Z (over 1 year ago)
- Last Synced: 2024-08-02T01:25:58.131Z (6 months ago)
- Topics: aws, aws-lambda, knative, kubernetes, management, platform, serverless
- Language: Go
- Homepage: https://triggermesh.com
- Size: 324 KB
- Stars: 46
- Watchers: 5
- Forks: 14
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-repositories - triggermesh/aws-custom-runtime - Knative Function Using the AWS Lambda Runtime API (Go)
README
[](https://goreportcard.com/report/github.com/triggermesh/aws-custom-runtime) [](https://circleci.com/gh/triggermesh/aws-custom-runtime)
## Running AWS Lambda Custom Runtime in Knative
In November 2018, AWS announced support for [Lambda custom runtime](https://aws.amazon.com/about-aws/whats-new/2018/11/aws-lambda-now-supports-custom-runtimes-and-layers/) using a straightforward [AWS lambda runtime API](https://docs.aws.amazon.com/lambda/latest/dg/runtimes-api.html).
In this repository you find a function invoker implemented in Go, which provides the AWS Lambda runtime API. You also find a Knative build template. Using this build template you can run AWS Lambda custom runtimes directly in your Kubernetes cluster using [Knative](https://github.com/knative).
The AWS Lambdas execution [environment](https://docs.aws.amazon.com/lambda/latest/dg/current-supported-versions.html) is replicated using the Docker image `amazonlinux` and some environment variables.
### AWS custom runtime walkthrough
This repository contains an `example` lambda function written in bash with a AWS custom runtime described in this AWS [tutorial](https://docs.aws.amazon.com/lambda/latest/dg/runtimes-walkthrough.html). To run this function use our [`tm`](https://github.com/triggermesh/tm) client to talk to the knative API.
1. Install AWS custom runtime:
```
tm deploy task -f https://raw.githubusercontent.com/triggermesh/aws-custom-runtime/main/runtime.yaml
```
2. Deploy function:
```
tm deploy service lambda-bash -f https://github.com/triggermesh/aws-custom-runtime --runtime aws-custom-runtime --build-argument DIRECTORY=example --wait
```
In output you'll see URL that you can use to access `example/function.sh` function
### AWS Lambda RUST example
RUST is also verified to be compatible with this runtime. Though [official readme](https://github.com/awslabs/aws-lambda-rust-runtime) has build instructions, it is more convenient to use docker.
1. Clone repository:
```
git clone https://github.com/awslabs/aws-lambda-rust-runtime
cd aws-lambda-rust-runtime
```
2. Build binary and rename it to `bootstrap`:
```
docker run --rm --user "$(id -u)":"$(id -g)" -v "$PWD":/usr/src/myapp -w /usr/src/myapp rust:1.31.0 cargo build -p lambda_runtime --example basic --release
mv target/release/examples/basic target/release/examples/bootstrap
```
3. Deploy runtime using [`tm`](https://github.com/triggermesh/tm) CLI:
```
tm deploy runtime -f https://raw.githubusercontent.com/triggermesh/aws-custom-runtime/main/runtime.yaml
tm deploy service lambda-rust -f target/release/examples/ --runtime aws-custom-runtime
```
Use your RUST AWS Lambda function on knative:
```
curl lambda-rust.default.k.triggermesh.io --data '{"firstName": "Foo"}'
{"message":"Hello, Foo!"}
```
### AWS Lambda C++ example
1. Build custom runtime:
```
cd /tmp
git clone https://github.com/awslabs/aws-lambda-cpp.git
cd aws-lambda-cpp
mkdir build
cd build
cmake .. -DCMAKE_BUILD_TYPE=Release -DBUILD_SHARED_LIBS=OFF -DCMAKE_INSTALL_PREFIX=/tmp/out
make && make install
```
2. Prepare example function:
```
mkdir /tmp/hello-cpp-world
cd /tmp/hello-cpp-world
cat > main.cpp <
using namespace aws::lambda_runtime;
invocation_response my_handler(invocation_request const& request)
{
return invocation_response::success("Hello, World!", "application/json");
}
int main()
{
run_handler(my_handler);
return 0;
}
EOF
cat > CMakeLists.txt <