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There is a very important product that you have complete control over: you. Your skill set, your personality, your overall career is completely within your control. Those are all features of your product and it’s on those pieces that you need to iterate and improve. Good products are successful often because they have good product managers. It is up to you to decide how you fit into the world and what people are demanding of you.

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One of the most powerful things about Golang is the ability to run parts of your application concurrently. This allows the application to run in parallel at times (depending on the number of cores) or continue to run while waiting for a blocked process. There are a number of concurrency patterns that allow you to structure your applications to get a performance boost. Recently I stumbled across the “Pipeline” pattern and was able to use it to transform incoming data and aggregate the results.

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People enter into technology thinking they can pursue an idea that will make them a lot of money. If you read startup stories you will find that most start with an idea, evolve into a business, become broke, rebound and make millions…. or end up being broke and learning a lot. I’ve read these stories but I am not a risk taker. Maybe I just don’t believe in my ideas as much as others or lack the confidence to pursue them.

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You should always write tests. To fully understand how to write production level applications in any language you should be able to write unit tests. Some people go to the extreme of doing Test Driven Development (TDD). TDD advocates that you should write tests before you write the code. This can be a good approach when trying to write code that can be easily tested. Yet I find that TDD is a lot like agile; a lot of people say they do it but in reality they do some sort of hybrid version.

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In an earlier post I wrote about how to structure Go programs to be leveraged by both a FaaS and a standalone application. This simple application showed the power of what a Hex architecture can do by limiting the need to rewrite logic when an external resource has changed. In that example we looked at changing communication between an HTTP call from an AWS Lambda to a direct application call.

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