Go concurrency simplified. Part 4: Post office as a data pipeline

1. n0rdy-blog-code-samples

   1 7 7 5.2 Go

   Code samples for https://n0rdy.foo posts

   

   The next step should be to replace the slice with a channel to define the customers' queue. But how should we get the customers to put in that channel? Another good question, you are on fire today! We need a function to generate random customers and, ideally, with random waiting to make it more realistic, as customers come to the post office at a different frequency. For that, I asked ChatGPT to generate a list of 50 random names and 50 random Xmas presents that fit into the postal package. I won't provide these lists here to save space, but feel free to check them out on a GitHub repo. Once we have it, the rest of the generator code is trivial:

2. InfluxDB

   www.influxdata.com featured

   InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

   

3. pippin

   2 3 14 2.9 Go

   Go library to create and manage data pipelines on your machine

   

   take a look at the concurrent code written by other devs out there: for example, feel free to check the internals of my library Pippin, but I bet there are many better projects out there to learn from - Google/Bing/DuckDuckGo/Kagi and ChatGPT can help to find the right one

4. Apache Spark

   3 123 41,395 10.0 Scala

   Apache Spark - A unified analytics engine for large-scale data processing

   

   also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.

5. ApacheKafka

   4 137 36 0.0

   A curated re-sources list for awesome Apache Kafka

   

   also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.

6. flink-kubernetes-operator

   5 17 904 8.8 Java

   Apache Flink Kubernetes Operator

   

   also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.

7. Stream

   getstream.io featured

   Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

   

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