Kubeless VS Google Cloud Functions

You can run kubeless on top of a self hosted Kubernetes cluster: https://kubeless.io/. - Source: Hacker News / over 2 years ago

It sounds like you want to run your containers on a serverless platform. You would need Kubernetes to use these but check out Kubeless or Knative. They both have the ability to scale your containers down to zero when not in use and then spin them back up when a request comes in. Source: over 2 years ago

Serverless computing comes into play with the promise of freeing teams from having to deal with operational tasks. The general idea with Serverless computing is to be able to provide the service code, together with some minimal configuration, and the provider will take care of the operational aspects. Most cloud providers have serverless offerings and there are also serverless options on top of Kubernetes that use... - Source: dev.to / over 2 years ago

Right now I'm considering Kubeless as an alternative for OpenFaas for the following reasons:. - Source: dev.to / almost 3 years ago

One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 5 months ago

I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 6 months ago

Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 9 months ago

Lambda is made for your use case :). It doesn’t have to be AWS there are plenty of other serverless computing services like: - Google cloud functions - Azure functions Etc. Source: 11 months ago

Once you have some basic familiarity with programming, try deploying one of your Python programs to the cloud. Start with Cloud Functions, because that doesn't require any knowledge of Linux server administration. Source: 11 months ago