conversations.from: human
conversations.value: Give me a description for a story titled Go Design Patterns about Google, Cloud, Kubernetes with the genre: Computers & Technology, Programming.
conversations.from: assistant
conversations.value: the author the author is a software engineer who has specialized in distributed systems and big data solutions. He works as a site reliability engineer, and now he is focused on containerized solutions and apps using most of Google Cloud suite; especially, Kubernetes. He has a wide experience in systems and solutions integration, and he has written many scalable and reliable 12 factor apps using Go and Docker. He has designed Big Data architectures for financial services and media, and he has written data processing pipelines using event-driven architectures written purely in Go. He is also very active in the open source community, and you can find him on his GitHub account with the username sayden. In the past, he has also written mobile applications and backends in Java. Mario is passionate about programming languages, and he found the best balance between fun and productivity in Go; however, recently, he enjoys writing in Rust and embedded systems in C. He is also passionate about road cycling and winter sports.
conversations.from: human
conversations.value: Give me the first paragraph for this story.
conversations.from: assistant
conversations.value: Go Design Patterns
  Maybe you have realized that our requirements defined almost exclusively the `Publisher` type. This is because the action performed by the observer is irrelevant for the Observer pattern. It should simply execute an action, in this case the `Notify` method, that one or many types will implement. So let's define this only interface for this pattern:
conversations.from: human
conversations.value: Give me three more paragraphs.. End with the sentence ' Then, we simply make the `GET` call, take the response, parse it to a byte slice, and send it through the `out` channel.'.
conversations.from: assistant
conversations.value: The procedure is simple: we create a channel of size 2, the one that will receive responses of the `barrierResp` type, we launch both requests and wait for two responses, and then check to see if there is any error:
  Following the previous description, we created a buffered channel called `in`, making it the size of the incoming endpoints, and we deferred channel closing. Then, we launched a function called `makeRequest` with each endpoint and the response channel.
  The `makeRequest` function is a very straightforward functions that accepts a channel to output `barrierResp` values to and a URL to request. We create an `http.Client` and set its timeout field to the value of the `timeoutMilliseconds` package variable. This is how we can change the timeout delay before the `in` function tests. Then, we simply make the `GET` call, take the response, parse it to a byte slice, and send it through the `out` channel.
conversations.from: human
conversations.value: Give me the last four paragraphs.
conversations.from: assistant
conversations.value: This example has demonstrated how to take advantage of multi-core CPUs to build a concurrent message publisher by implementing the Observer pattern. While the example was long, we have tried to show a common pattern when developing concurrent apps in Go.
  We have seen few approaches to develop concurrent structures that can be run in parallel. We have tried to show a few ways to solve the same problem, one without concurrency primitives and one with them. We have seen how different the publish/subscriber example written with a concurrent structure can be compared to the classic one.
  We have also seen how to build a concurrent operation using a pipeline and we have parallelize it by using a worker pool, a very common Go pattern to maximize parallelism.
  Both examples were simple enough to grasp, while digging as much as possible in to the nature of the Go language instead of in the problem itself.