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I like having the core logic of our application free of distractions like too many technical “details” like logging or generating metrics. Of course, sometimes it’s hard to avoid it. I found in many projects a situation where we put the logger very deeply inside of the code. At the end of the day, we had the logger almost everywhere. In tests, we had to provide the mocked implementation everywhere as well.

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Sometimes, we may want to use a library but a slightly modified version. It happens very often when we develop the library but test it in the context of an application. Go has a handy mechanism in go modules that can help us with it. To make it work, we have to clone the library somewhere near the target project and run the following command in the application’s folder. go mod edit -replace github.

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gRPC supports authentication. Adding it to your project is simple. All you have to do is configure it with just a few lines of code. One of the authentication types that gRPC supports is SSL/TLS. From the server-side, the code looks like this: creds, err := credentials.NewServerTLSFromFile(certFile, keyFile) if err != nil { // handle the error - no ignore it! } s := grpc.NewServer(grpc.Creds(creds)) The client has to update the code as shown below.

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Programs should be written for people to read, and only incidentally for machines to execute - Abelson and Sussman It is one of the most popular questions. You can find on the Internet attempts to answer this question. I’ve had concerns if I’m designing my packages or even the whole project correctly. Today, I’m not 100% sure about that! Some time ago, I had the pleasure to meet Robert Griesemer (one of Go’s authors) in person.

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Some time ago, I found a Stack Overflow question. The author had a problem with understanding why the context from the request he’s using is canceled. I remember that I had a similar situation in the past: I used the context from the HTTP request and tried to use it in background operation and return the response to the user before it was finished. This issue comes from not understanding how the context is used in the http.

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You can find a lot of articles about Go that describe general aspects of it. Including the content on this blog. Today, I decided to prepare something different. I’ll tell you about one of my tasks and I’ll show you how I resolved it using Go. I thought it’d be useful to show the exec package and to tell a bit about the ssh command and learn AWS EE2 a bit better.

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Failures and downtime are part of our day-to-day life. I had a problem with one of the services that started crashing a few times a week. We noticed that it crashes because the memory usage reaches its limits no matter how high the limit is. Debugging memory leaks is hard and time-consuming. As a temporary fix[^Nothing is more permanent than a temporary solution] we decided to restart the application once a day.

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Writing linters is simple. I was surprised how it’s easy to write a Go linter. Today, we’ll write a linter that will calculate the cyclomatic complexity of the Go code. What is cyclomatic complexity? Cyclomatic complexity is a software metric used to indicate the complexity of a program. ref The idea is simple - every time we find any control flow statements we increase the complexity by one. I know I oversimplified it a bit but I don’t want to overwhelm you with unnecessary details.

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It took a while since I got this book. At the very beginning, I didn’t want to buy it. However, I got so much feedback that this book is so good that I had to check it myself. It is the second Go book in my library. I didn’t write about the first one because I wanted to compare it with another one. I wanted to recommend you only the best.