aws-lambda-deploy | ️ Effortlessly deploy Amazon Web Services Lambda | Cloud Functions library
kandi X-RAY | aws-lambda-deploy Summary
kandi X-RAY | aws-lambda-deploy Summary
Deploy your AWS Lambda function(s) in seconds with a single command.
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QUESTION
I want to deploy aws lamda .net core project
using bit bucket pipeline
I have created bitbucket-pipelines.yml
like below but after build run getting error -
MSBUILD : error MSB1003: Specify a project or solution file. The current working directory does not contain a project or solution file.
file code -
...ANSWER
Answered 2020-Sep-05 at 11:00The problem is here:
PROJECT_NAME=TestAWS/AWSLambda1/AWSLambda1.sln
This is the incorrect path. Bitbucket Pipelines will use a special path in the Docker image, something like /opt/atlassian/pipelines/agent/build/YOUR_PROJECT
, to do a Git clone of your project.
You can see this when you click on the "Build Setup" step in the Pipelines web console:
QUESTION
I have a basic AWS Lambda Java Function my-function
...ANSWER
Answered 2020-Feb-18 at 02:45The error was when ZIP file was created and passed through Bitbucket Artifacts. I avoid to compress (ZIP) file, instead, I used the JAR directly to upload in AWS. I updated bitbucket-pipelines.yml
as follow:
Old bitbucket-pipeline.yml
QUESTION
Upon reading of this article which discusses the main drawback of using AWS Lambda functions, I'm trying to avoid what the author had to deal with and perform some cleanup on my own code:
"Lambda versions every function. We use the Serverless Framework for developing Lambda application. This means that Serverless creates Lambda functions. Our average Lambda function is about 60MB. [...]
When you couple CI/CD with rapid development and Lambda functions, you get many versions. Hundreds even. And Lambda code storage is limited to 75GB. We hit that limit, and we hit it hard. After two years of CI/CD driven development, our lack of version cleanup led to complete gridlock in our development process."
(emphasis mine)
About my architecture. I have lambda functions that call methods from homemade python packages, which are stored in layers. The goal being to avoid having too much code in the lambdas and easily reuse features among them.
Now, I have found how to remove old versions of my lambda functions (I too am using the Serverless framework, which offers a nice plugin for automatically pruning them upon deployment of the stack). However, I don't know whether old layers are automatically deleted by AWS: I have yet to find a dashboard that summarizes the total code size of all my layer versions, and I couldn't find a plugin that automatically removes them.
Are old AWS Lambda layers automatically removed? If not, how could I batch delete them?
...ANSWER
Answered 2019-Oct-03 at 16:36Old layers are not automatically deleted. You can run a CLI command such as the following to delete a layer version:
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