Based on our record, Google Cloud Functions seems to be a lot more popular than jFrog. While we know about 41 links to Google Cloud Functions, we've tracked only 3 mentions of jFrog. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Artifactory is a product by JFrog that serves as a binary repository manager. The binary repository is a natural extension to the source code repository, in that the outcome of your build process is stored. It can be used for certain other automation, but we will it strictly to manage our build artifacts. - Source: dev.to / 2 months ago
In cases where the JFrog platform is being used in a SaaS model, a specific custom OAuth template provided by JFrog is necessary. The custom OAuth template must be set up and configured in accordance with JFrog's guidelines to ensure compatibility and security. - Source: dev.to / 3 months ago
I uploaded it to my repository. Basically, I have a domain at https://jfrog.com/ with some java libraries. However, when I upload this library that I'm talking about I included the .jar as well as the -sources.jar and -javadoc.jar. So it was three .jar files that were added to my jfrog repository referring to my lib-client. Source: almost 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
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
GitLab - Create, review and deploy code together with GitLab open source git repo management software | GitLab
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Verdaccio - Verdaccio is a lightweight private npm proxy registry built in Node.js
Dokku - Docker powered mini-Heroku in around 100 lines of Bash