aws-codebuild-docker-images VS awslogs

Based on public repository for Codebuild Image, the image base will be the Ubuntu standard 7.0.

This is basically what CodeBuild does.

The default Docker containers that CodeBuild uses (you can create your own) and the shell script it uses to parse the yaml configuration file (mostly a list of shell scripts) are all open source and the entire process can be run locally.

https://github.com/aws/aws-codebuild-docker-images

https://docs.aws.amazon.com/codebuild/latest/userguide/use-c...

Disclaimer: I work for AWS. But nowhere near the team that developed Firecracker

Disclaimer: I work for AWS in Professional Services. All opinions are my own.

The beauty about CodeBuild is that there is no “lock-in”. All it is fundamentally is a Linux or Windows Docker container with popular language runtimes and a shell script that processes a yaml file or you can supply your own Docker container.

You just put a bunch of bash commands or PowerShell commands in the yaml file and it runs anything.

The Docker container and the shell scripts are all open source and you can quite easily run them locally.

I could see outside of AWS keeping your Docker containers for your specific build environments in a local repository and doing all of your builds inside them using Jenkins.

https://github.com/aws/aws-codebuild-docker-images

https://docs.aws.amazon.com/codebuild/latest/userguide/use-c...

For a “batteries included” approach though, I really like Azure DevOps Pipelines.

I’ve even done a couple of integrations between Azure DevOps and AWS when we had clients that are Microsoft shops.

https://aws.amazon.com/vsts/

For AWS, if you use CodeCommit (AWS git service), all access is via IAM and granular permissions. If you integrate with Azure DevOps, the AWS credentials do have to be stored in a separate MS hosted credential storage.

CodeBuild also supports at least Github natively.

I’m not shilling for AWS. I have an MS development background (.Net) and only have “DevOps” experience using AWS and Microsoft tooling.

Docker Images provided by the CodeBuild team should be updated regularly and should support all "modern" toolkits. The open source project has some activity, but an issue for supporting newer Android versions is now open for some time...

The runtimes available and exposed by CodePipeline support Android runtime 29 – and the Docker images are provisioned using Java 8. Unfortunately, as of July 2021, the Android gradle tools (used by Flutter) require Java 11. I have created an issue in the corresponding Github (see here) but needed to find a workaround to move on – I think I’ve found one, but I hope that anyone reading this might have a better way or idea?

$ git clone https://github.com/aws/aws-codebuild-docker-images.git $ cd aws-codebuild-docker-images/al2/aarch64/standard/2.0 $ docker build -t codebuild/amazonlinux2-aarch64-standard:2.0 .

This also is the place where we specify this is an AArch64 build. The managed image indicates to use a standard image provided by AWS. The source of the Graviton2 image can be found on GitHub.

🏗 AWS CodeBuild Local Builds - Simulate a CodeBuild environment locally to quickly troubleshoot the commands and settings located in the BuildSpec file.

Using the official CLI (aws logs get-log-events) or https://github.com/jorgebastida/awslogs is pretty close to SSH-ing and grepping.

cw is a native executable targeting your OS, and not needed external dependencies such as pip and npm. Compared to awslogs which is famous helpful tool for CloudWatch Logs1, cw is written in golang and faster.

Its a command line tool but some people I know also use awslogs

Not a full solution, but when I was doing this I really got to love the awslogs utility:

https://github.com/jorgebastida/awslogs

It allows you to stream Cloudwatch logs from the command line, so you can grep them, save them to files, etc... (The web based Cloudwatch interface is terrible.)

Another suggestion is to try to modularize the core business logic in your lambda such that you separate the lambda-centric stuff from the rest of it. Obviously, though, if "the rest of it" is hitting other AWS services, you're going to hit the same testing roadblock.

Or you can try mocking, which may or may not provide much value for you. There's a python library for that, (moto), but it's not 100% up to date wrt AWS services/interfaces, last I had checked. Might be worth a try though.

https://github.com/spulec/moto

Cloudwatch Logs is pretty meh visually, but awslogs can give you a pretty good `tail -f`-like experience, and Insights is pretty good. Cloudwatch Metric Filters give you a 'StatsD'-like experience, in that you can log out a certain message or code and then use its appearance as a metric.

Check out https://github.com/jorgebastida/awslogs , you can define a `--start`, and it also has a `--watch`, and can be piped the `grep` or whatever you want. It's a pretty flexible tool.

📖 awslogs - a simple command-line tool for querying groups, streams, and events from Amazon CloudWatch logs.