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Based on our record, Google Cloud Functions seems to be a lot more popular than AWS Serverless Application Repository. While we know about 41 links to Google Cloud Functions, we've tracked only 3 mentions of AWS Serverless Application Repository. 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.
You can use the Serverless Patterns Collection and the AWS Serverless Application Repository to help jump-start your work to reduce undifferentiated heavy lifting. - Source: dev.to / 8 months ago
AWS Serverless Application Repository - A repository of serverless applications built using AWS SAM. You can explore and deploy ready-to-use applications or learn from their implementation. - Source: dev.to / 10 months ago
Yes very common. AWS even has a library for SAM template apps: https://aws.amazon.com/serverless/serverlessrepo/ . Even apps you pay for- marketplace or other are often distributed this way. Source: over 1 year 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: 10 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
Azure Cloud Services - Azure Cloud Services is a cloud computing services developed by Microsoft for creating, testing, deploying and control applications and services through the global network.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
AWS Elastic Beanstalk - Quickly deploy and manage applications in the AWS cloud.
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.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash
AWS Lambda - Automatic, event-driven compute service