Google Cloud Functions VS Flynn
Compare Google Cloud Functions VS Flynn and see what are their differences
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Google Cloud Functions
Google App Engine
Salesforce Platform
Dokku
AWS Lambda
Azure Web Apps
Now Platform
AWS Elastic Beanstalk
Flynn
Heroku
Porter
8base
Kubernetes
Easypanel.io
Rancher
Dokku
FlynnBased on our record, Google Cloud Functions seems to be a lot more popular than Flynn. While we know about 41 links to Google Cloud Functions, we've tracked only 2 mentions of Flynn. 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.
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
Considering other orchestration tools like dokku, dcos, deis, flynn, docker swarm, etc.. Kubernetes is no where near to them in terms of lines of code, on an average those tools are around 100k-200k lines of code. Source: over 1 year ago
> we are indeed writing a new orchestration system in Go, called `flyd`. I know it's just a wild coincidence, but I couldn't help but be reminded of https://github.com/flynn/flynn. - Source: Hacker News / about 2 years ago
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
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.
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.
Porter - Heroku that runs in your own cloud
Dokku - Docker powered mini-Heroku in around 100 lines of Bash
8base - Rethink development using 8base's low-code development platform.