Скачать или смотреть #50 Golang - Task Scheduler in Go with gocron - Part 2

In this episode, we're diving into advanced scheduling techniques using gocron and Faktory. If you've ever wondered why you might choose gocron over goroutines for task scheduling, or how to integrate gocron with Faktory for powerful distributed job processing, this video is for you!

We discuss the limitations of goroutines for scheduling tasks and how gocron simplifies the process with clear, declarative syntax.
We also demonstrate how to run a one-time task using Goroutines and explore why it's often inefficient compared to using gocron.

Next, we show you how to integrate gocron with Faktory to schedule tasks that are processed asynchronously by Faktory workers. This setup is perfect for distributed systems where you want to keep your application instances stateless.

Finally, we cover best practices for preventing duplicate job executions in distributed environments, using strategies like distributed locking.

Resources:
Original video: https://www.codeheim.io/courses/Episo...
Source code: https://github.com/code-heim/go_50_ta...

Related Episodes:
- Episode 49: Task Scheduler in Go with gocron:    • #49 Golang - Task Scheduler in Go with gocron  
Episode 42: Using Faktory with Golang:    • #42 Golang - Using Faktory with Golang: A ...  
- Episode 8: Unlocking Distributed Redis Locks in Go:    • #8 Golang - Unlocking Distributed Redis Lo...  

Whether you're building a simple scheduler or a complex distributed system, this tutorial will help you take your Go skills to the next level. If you find this video helpful, don't forget to like, subscribe, and hit the notification bell for more Go content.

Thanks for watching, and as always, happy coding!

Timestamps:
00:00 Introduction
00:31 Why Use gocron Instead of Goroutines?
01:42 Running a Task with Goroutines
03:15 Integrating gocron with Faktory
05:14 Preventing Duplicate Jobs in Distributed Systems
05:51 Recap & Conclusion

#Go #Golang #gocron #Goroutines #Faktory #distributedsystems #jobscheduling #GoTutorial #backgroundjobs #concurrency

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