Exoscale
DigitalOcean
Linode
Microsoft Azure
OpenStack
Heroku
Amazon AWS
Scaleway
Google Cloud Functions
Google App Engine
Salesforce Platform
Dokku
AWS Lambda
Azure Web Apps
Now Platform
AWS Elastic Beanstalk
Exoscale Google Cloud FunctionsBased on our record, Google Cloud Functions seems to be a lot more popular than Exoscale. While we know about 41 links to Google Cloud Functions, we've tracked only 2 mentions of Exoscale. 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.
IMPORTANT: I use the Scalable Kubernetes Service (SKS) from Exoscale (Switzerland) in the tutorial, but if you don't want to spend money on this, you can follow along with a local k3d cluster. Simply follow the instructions at the bottom of "The Cluster" section. - Source: dev.to / 12 months ago
Next Pierre-Yves Ritschard and Mathieu Corbin from Exoscale presented SKS, a Kubernetes as-a-Service, operating the user’s cluster on their behalf and taking care of the underlying infrastructure. - Source: dev.to / about 3 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: 12 months ago
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Linode - We make it simple to develop, deploy, and scale cloud infrastructure at the best price-to-performance ratio in the market.Sign up to Linode through SaaSHub and get a $100 in credit!
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.
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash