GitHub Enterprise VS Google Cloud Functions

Some orgs run GitHub Enterprise on-prem. Set up properly, it's not publicly accessible at all. Source: about 1 year ago

I do. My company has an enterprise license and it basically just acts as a private corner of normal public-facing github. Basically like a private repo but instead of being scoped to a single repo it's a full multi-organization scope. All new report default to private, but can be flipped to public if we want to open-source some internal project. Source: about 1 year ago

Https://github.com/enterprise you can host it yourself or in the cloud. Source: about 2 years ago

Well that confirms I can't afford it! Interestingly, this page isn't linked to from https://github.com/enterprise (except in the footer), where the calls to action are to either "start a free trial" or to "contact sales". - Source: Hacker News / about 2 years ago

Ruby support for CodeQL is now coming in public beta, and secret scanning is now available to all GitHub Enterprise users. There's also the new security center we just launched in beta. This allows you to better manage your secrets, tokens, and credentials. Check out more about GitHub Enterprise on the website. - Source: dev.to / over 2 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 / 6 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: 7 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: 12 months ago