Integration tests give insights to the end-to-end operation of web services. In part 1 of this 3 part series over integration testing in Go we explore how to run integration tests in restrictive environments, such as Jenkins.
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Goroutine Leaks are a common cause of memory leaks in Go programs. In my previous post, I presented an introduction to Goroutine leaks and provided one example of a common mistake that many Go developers make. Continuing that work, this post presents another scenario on how Goroutines could be leaked.
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Prelude This is the third post in a three part series that will provide an understanding of the mechanics and semantics behind the scheduler in Go. This post focuses on concurrency. Index of the three part series: 1) Scheduling In Go : Part I - OS Scheduler 2) Scheduling In Go : Part II - Go Scheduler 3) Scheduling In Go : Part III - Concurrency Introduction When I’m solving a problem, especially if it’s a new problem, I don’t initially think about whether concurrency is a good fit or not.
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Goroutine leaks are a common source of memory leaks in concurrent programs. This post defines Goroutine leaks and provides one example of a leak that is easy to miss in production code.
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Prelude This is the first post in a three part series that will provide an understanding of the mechanics and semantics behind the scheduler in Go. This post focuses on the Go scheduler. Index of the three part series: 1) Scheduling In Go : Part I - OS Scheduler 2) Scheduling In Go : Part II - Go Scheduler 3) Scheduling In Go : Part III - Concurrency Introduction In the first part of this scheduling series, I explained aspects of the operating-system scheduler that I believe are important in understanding and appreciating the semantics of the Go scheduler.
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In the months leading up to GopherCon, my wife Jamilet and I had come up with the idea of creating a “small” browser-based game for the convention using the racing theme. Neither of us had ever worked on a game before and we had no idea what was involved. However, we knew we wanted to design and build something special for the awesome Gopher community. The original idea was to create a game where Gophers raced each other around a track.
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Prelude This is the first post in a three part series that will provide an understanding of the mechanics and semantics behind the scheduler in Go. This post focuses on the operating system scheduler. Index of the three part series: 1) Scheduling In Go : Part I - OS Scheduler 2) Scheduling In Go : Part II - Go Scheduler 3) Scheduling In Go : Part III - Concurrency
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Introduction I teach a class called Ultimate Go. The class is three days long and teaches you the history, mechanics and semantics of the Go programming language. The idea is to teach you how to read code to the level that you can understand the behavior and impact your program is having on the machine. This helps you make better and more consistent engineering decisions. At the same time, the class is very focused on teaching you how to optimize for correctness so the code you are writing is readable as a first priority.
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Introduction One day I was talking to Damian Gryski in Slack about some performance improvements he made to his go-metro package. When I first looked at the changes I was completely confused how this could have any effect on the performance of the code. I felt the code was more readable, but more performant? I didn’t see it. Then Damian started to talk to me about a compiler optimization called Bounds Check Elimination or BCE.
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Introduction I’ve been seeing a lot of question about interfaces lately on Slack. Most of the time the answers are technical and focus on implementation details. Implementation is important to help with debugging, but implementation doesn’t help with design. When it comes to designing code with interfaces, behavior has to be the main focus. In this post, I hope to provide a different way to think about interfaces and how to design code with them.
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