Dkron VS Google Cloud Functions

My SaaS is not that big and doesn't need very complicated CRON management. I tried different options like dkron but it doesn't hold any job data after for example removing the container, according to a discusion issue I created. Source: about 1 year ago

Well, you can either use this as an example or use it cause the work is done: dkron. Source: over 1 year ago

I'am also familiar to hangfire, used in the past as distributed job scheduler for Owin microservices in C# too. Btw when we moved towards Golang stack realized that hangfire wasnt really necessary. It was enough standard and idiomatic Go code, learning using Go Routine adding any Cron library and maybe a Redis dependency if persistence is needed. But if you really prefer something hangfire-like, give a try to... Source: about 2 years ago

Perhaps https://dkron.io/ can solve your problem? Source at https://github.com/distribworks/dkron. Source: over 2 years ago

Oops, my bad. I was trying to refer to dkron https://dkron.io/. Source: 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 / 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