Based on our record, Google Cloud Functions seems to be a lot more popular than Porter. While we know about 41 links to Google Cloud Functions, we've tracked only 4 mentions of Porter. 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.
Https://getporter.org/ https://getporter.dev/ One of you is going to have to rename yourselves... - Source: Hacker News / over 1 year ago
Porter - a fully-managed PaaS that lets teams automate DevOps. The free basic tier for porter cloud offers management of 1 cluster with up to 10 vCPU and 20 GB memory. - Source: dev.to / over 1 year ago
There are some YC startups (AtomizedHq.com and getporter.dev) that are doing really interesting things with cross-cloud K8S deployments (more like heroku). These are all different bits of the serverless microservices scaling puzzle. We are a long way off but trying to think long term, even as a 2 person alpha prototype :). Source: almost 3 years ago
But then I saw a YC startup called Porter (https://getporter.dev) that made getting the cluster set up and deploying the apps from Heroku on AWS EKS a piece of cake. It's really great. There is another YC startup called Atomized (https://atomizedhq.com) that I've been looking at that's also really great. They are both worth checking out, and the teams from both are super-responsive. Source: almost 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: 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
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.
Render UIKit - React-inspired Swift library for writing UIKit UIs
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.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Dokku - Docker powered mini-Heroku in around 100 lines of Bash