Clever Cloud
Heroku
Google App Engine
OpenShift
Cloud Foundry
Apollo
Dokku
DigitalOcean
Google Cloud Functions
Google App Engine
Salesforce Platform
Dokku
AWS Lambda
Azure Web Apps
Now Platform
AWS Elastic Beanstalk
Clever Cloud Google Cloud FunctionsBased on our record, Google Cloud Functions seems to be a lot more popular than Clever Cloud. While we know about 41 links to Google Cloud Functions, we've tracked only 2 mentions of Clever Cloud. 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.
At BearStudio, we are using CleverCloud which allows to edit the target Java version very easily thanks the CC_JAVA_VERSION environment variable, which set up to 17 before saving your changes. - Source: dev.to / about 2 years ago
At Promyze, our PaaS provider CleverCloud offers many great features and add-ons to run Web apps. However, there are currently limitations for managing access logs and route them to an external system, such as an ELK stack. CleverCloud allows for draining server logs to Elasticsearch, but there's no parsing option, and our logs are considered a single string object. - 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 / 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: 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: 11 months ago
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
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.
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash
Cloud Foundry - Cloud Foundry is an open platform as a service, providing a choice of clouds, developer frameworks and application services, making it faster and easier to build, test, deploy and scale applications from an IDE or the command line.