node:18-alpine. SLS 3.33.0.

Author: jch254

Dockerfile

@@ -1,4 +1,4 @@
-FROM node:14-alpine
+FROM node:18-alpine
 
 RUN apk add --no-cache \
   python3 \
@@ -12,6 +12,6 @@ RUN apk add --no-cache \
 
 ENV NODE_ENV development
 
-RUN npm install -g serverless@3.7.4
+RUN npm install -g serverless@3.33.0
 
 ENTRYPOINT ["/bin/bash", "-c"]

README.md

@@ -8,6 +8,6 @@ See [serverless-node-dynamodb-api](https://github.com/jch254/serverless-node-dyn
 
 ---
 
-This image is based on node:14-alpine ([AWS Lambda uses Node v14.x](http://docs.aws.amazon.com/lambda/latest/dg/current-supported-versions.html)) and has the AWS CLI, Serverless v3.7.4 and Yarn installed.
+This image is based on node:18-alpine ([AWS Lambda uses Node v18.x](http://docs.aws.amazon.com/lambda/latest/dg/current-supported-versions.html)) and has the AWS CLI, Serverless v3.33.0 and Yarn installed.
 
 To deploy a Serverless service to AWS you will need to create an IAM user with the required permissions and set credentials. I'm setting credentials using [Bitbucket Pipelines environment variables](https://confluence.atlassian.com/bitbucket/environment-variables-in-bitbucket-pipelines-794502608.html); however setting credentials in Dockerfile is also possible.