2 min read

Yesterday, Google cloud announced the support for Go 1.11 (in beta) on Cloud Functions. Developers can now write Go functions that scale dynamically and seamlessly integrate with Google Cloud events. The Go language follows suite after Node.js and Python were announced as supported languages for Google Cloud Functions.

Google Cloud functions ensures that developers do not have to worry about server management and scaling. Google Cloud functions scale automatically and developers only pay for the time a function runs. By using the familiar blocks of Go functions, developers can build a variety of applications like:

  • Serverless application backends
  • real-time data processing pipelines
  • Chatbots
  • video or image analysis tools
  • And much more!

The two types of Go functions that developers can use with cloud functions are the HTTP and background functions. The HTTP functions are invoked by HTTP requests, while background functions are triggered by events. The Google cloud runtime system provides support for multiple Go packages via the Go modules. Go 1.11 modules allow the integration of third-party dependencies into an application’s code.

Go Developers and Google Cloud users have taken this news well. Reddit and Youtube did see a host of positive comments from users. Users have commented on Go being a good fit for cloud functions and making the process of adopting cloud functions much more easier.

It is easy and efficient to deploy a Go function in Google Cloud. Check out the examples on Google Cloud’s official blog page. Alternatively, you can watch this video to know more about this announcement.

Read Next

Google Cloud releases a beta version of SparkR job types in Cloud Dataproc
Oracle’s Thomas Kurian to replace Diane Greene as Google Cloud CEO; is this Google’s big enterprise Cloud market move?
Google Cloud Storage Security gets an upgrade with Bucket Lock, Cloud KMS keys and more


Subscribe to the weekly Packt Hub newsletter. We'll send you the results of our AI Now Survey, featuring data and insights from across the tech landscape.