‘cfn2dsl’ – an open source tool to translate CloudFormation into Ruby DSL

In REA, Amazon Web Services (AWS) is our major development and production environment, and CloudFormation (CF) is one of the best tools we’ve found to manage deployments in AWS. At the time of writing, JSON is still the only template format supported by CloudFormation; but if you search for “Programming in JSON” in your favorite search engine, the results may be very disappointing. Some developers find writing JSON templates hard and have trouble with the data format, especially when the templates are big (you can’t have comments, syntactic strictness, etc).

At REA, we encourage people to explore and find new technologies to solve problems, improve product quality and speed up deployment cycles; this freedom to explore has given us a few choices for addressing this problem.

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Language use at REA

As previously discussed we’re pretty keen on micro services at REA. Our delivery teams are organised around small, autonomous “squads” that get to choose pretty much any language and technology stack they wish to implement their solutions.

This inevitably leads to a fairly broad church of language use. 🙂

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Using our everyday dev tools for effective Load and Performance testing

Previously at REA we’d had very special tools for Load and Performance testing that were quite expensive, very richly featured but completely disconnected from our every day development tools. The main outcome of this was that we ended up with a couple of engineers who were quite good at L & P testing with our enterprise tools while the majority of engineers found the barriers too great. We have moved to an approach which is far more inclusive and utilises many of the tools our engineers are working with on a daily basis. I’ll talk about how we did this for the most recent project I worked on.

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Enter the Pact Matrix. Or, how to decouple the release cycles of your microservices

So, you’re writing microservices! You’re feeling pretty smug, because microservices are all the rage. All the cool kids are doing it. You’re breaking up your sprawling monoliths into small services that Do One Thing Well. You’re even using consumer driven contract testing to ensure that all your services are compatible.

Then… you discover that your consumer’s requirements have changed, and you need to make a change to your provider. You coordinate the consumer and provider codebases so that the contract tests still pass, and then, because you’re Deploying Early and Often, you release the provider. Immediately, your monitoring system goes red – the production consumer still expects the provider’s old interface. You realise that when you make a change, you need to deploy your consumer and your provider together. You think to yourself, screw this microservices thing, if I have to deploy them together anyway, they may as well go in the one codebase.

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AWS Custom Resources

AWS Custom Resources appeared on the scene around the beginning of the year and appeared to be the perfect remedy for the lack of comms going in and out of a CloudFormation stack. In a nutshell they fit nicely into your template as a snippet of JSON, allow you to pass variables in and out of your stack to 3rd parties and give you the ability to kick off external scripts during your create, update and delete stack operations.

The big win is that all the stuff that you’d otherwise wrap up in your deploy scripts as additional calls becomes a single atomic “create-stack” operation. All that logic for rolling back/updating/deleting is handled by CloudFormation meaning you don’t have to write all that logic yourself in bash or whatever you call the AWS CLI with.

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