Add GraalVM lambda

.github/workflows/compile-graalvm.yaml

@@ -0,0 +1,31 @@
+name: Compile GraalVM lambda
+on:
+  push:
+    branches:
+      - main
+  pull_request:
+
+jobs:
+  build:
+    runs-on: ubuntu-24.04-arm
+    steps:
+      - uses: actions/checkout@v4
+      - uses: graalvm/setup-graalvm@v1
+        with:
+          java-version: '21'      # See 'Options' for more details
+          distribution: 'graalvm' # See 'Supported distributions' for available options
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+      - name: Example step
+        run: |
+          echo "GRAALVM_HOME: $GRAALVM_HOME"
+          echo "JAVA_HOME: $JAVA_HOME"
+          java --version
+          native-image --version
+      - name: Compile using Maven plugin  # https://graalvm.github.io/native-build-tools/latest/maven-plugin.html
+        run: |
+          cd lambda/graalvm/GraalVMLambda
+          AWS_REGION=eu-west-2 mvn -Pnative package
+      - uses: actions/upload-artifact@v4
+        with:
+          name: function.zip
+          path: lambda/graalvm/GraalVMLambda/target/function.zip

.gitignore

@@ -2,3 +2,4 @@ benchmark/data/*
 benchmark/scripts/plots/*
 __pycache__/*
 .DS_Store
+.terraform

README.md

@@ -36,10 +36,21 @@ npm run build
 
 ```
 
-Then deploy:
+Then deploy to Localstack to test:
 
 ```bash
-cd infra
+docker-compose up -d
+cd infra/environments/local
+tofu init
+tofu apply
+```
+
+## Deploying to AWS
+
+All lambdas built on an ARM Mac will run in AWS apart from the GraalVM lambda - follow instructions in its README.
+
+```
+cd infra/environments/production
 tofu init
 tofu apply
 ```
@@ -48,9 +59,26 @@ tofu apply
 
 Install the Python requirements and run the script to send events to the Lambdas:
 
+### Setup
+
+It may be necessary to install venv and install the benchmark requirements:
+
+```
+mkdir ~/.venv
+python3 -m venv ~/.venv
+source ~/.venv/bin/activate
+python3 -m pip install -r requirements.txt
+```
+
+Then to run the benchmark in localstack (presumably with a low job size to test):
+
+```
+AWS_DEFAULT_REGION=eu-west-2 AWS_ENDPOINT_URL=http://localhost:4566 AWS_REGION=eu-west-2 AWS_ACCESS_KEY_ID=test AWS_SECRET_ACCESS_KEY=test python run_load_test.py
+```
+
+And for the real test in AWS where your credentials are set up:
+
 ```bash
-cd benchmark/scripts
-pip install -r requirements.txt
 python run_load_test.py
 ```
 

benchmark/scripts/analyse_results.py

@@ -16,6 +16,7 @@ def save_plot(ax, plot_name: str) -> None:
 def print_and_plot_init_duration_by_language(data: pd.DataFrame) -> None:
     cold_starts = data[data["cold_start"] == True]
 
+
     print("Cold start times per language - p50, p95, p99")
     print(
         cold_starts.groupby("name")["init_duration_ms"]
@@ -24,7 +25,7 @@ def print_and_plot_init_duration_by_language(data: pd.DataFrame) -> None:
     )
     print("-" * 10)
 
-    ax = sns.histplot(x="init_duration_ms", hue="name", binwidth=20, data=data)
+    ax = sns.histplot(x="init_duration_ms", hue="name", binwidth=20, data=cold_starts)
     ax.set_title("Cold start times by language")
     ax.set_xlabel("Init duration (ms)")
     ax.set_ylabel("Count")