django-simple-deploy
deploy-cloud-functions
django-simple-deploy | deploy-cloud-functions | |
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4 | 18 | |
293 | 290 | |
- | 2.1% | |
6.8 | 6.0 | |
5 days ago | 29 days ago | |
Python | TypeScript | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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django-simple-deploy
- Rapid growth, lessons learned and improvements at Fly.io
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Which is your go to host for deploying projects after development?
If it will not handle any kind of personal information, I use django-simple-deploy and deploy it to fly.io
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Another day, another failed Django deployment...
A library called django-simple-deploy can help here massively https://github.com/ehmatthes/django-simple-deploy, but it still requires some CLI knowledge. Another option for easy hosting would be Appliku (https://appliku.com/) again their aim is to make it easy for you deploy without needing all the other stuff.
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Why is deploying Django damn near impossible???
Hello there, you can use this https://github.com/ehmatthes/django-simple-deploy which essentially deployment steps grouped and wrapped to be reusable and simple to use , currently support heroku and platform.sh and once your comfortable with it you can expand support to other platforms .
deploy-cloud-functions
- Czym jest funkcja bezserwerowa?
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Increasing Your Cloud Function Development Velocity Using Dynamically Loading Python Classes
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.
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Need some advice on API key storage
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.
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Golden Ticket To Explore Google Cloud
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.
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Isolate a resource intensive task (in C++) from a Django Web app and restructure a web app
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
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Need Guidance
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.
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Read only API on Historical Data
If the customer prefers making REST-like calls: Deploy a simple Cloud Function that the customer would invoke by making a regular HTTP call with some parameters. The Cloud Function would validate the customer's credentials, and then send a query to BigQuery using one of the client libraries. You can write Cloud Functions in Node.js, Python, Go, Java, C#, Ruby, or PHP. You are only charged when the function runs.
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Job Scheduling on Google Cloud Platform
Cloud Functions: A serverless platform for event-driven functions
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Moving my Android app to Google cloud
I propose starting with Cloud Functions. You can use your Python experience, you can do rapid prototyping by writing your code in a text-box in the Google Cloud Console, and there will be no server setup or maintenance.
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Serverless Compute
AWS Lambda If you're in Azure, your equivalent service is Azure Functions. For Google, this is Google Functions (yes, AWS just HAD to be different). Regardless of its name, all of these services fulfill the same purpose - a small compute building block to house your business logic code. An AWS Lambda function is simply the code you want to run, written in your language of choice (I preference Python, but Typescript and Java are popular options). In your infrastructure code, you specify some lambda function basics, like name, path to the business logic code, security role, and what runtime you're using, and optionally have the ability to control more parameters like timeout, concurrency, aliases, and more. Lambda even has built in integrations to other AWS services, such as S3 and SQS (we'll get to these) to make application development even easier. Additionally, lambda functions are priced based on the number of times they're invoked and the duration of time they run, making them exceptionally affordable.
What are some alternatives?
nginxconfig.io - ⚙️ NGINX config generator on steroids 💉
strapi-connector-firestore - Strapi database connector for Firestore database on Google Cloud Platform.
Nginx Proxy Manager - Docker container for managing Nginx proxy hosts with a simple, powerful interface
90DaysOfDevOps - This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
dockerfile-rails - Provides a Rails generator to produce Dockerfiles and related files.
ansible-django-ubuntu-vps
functions-samples - Collection of sample apps showcasing popular use cases using Cloud Functions for Firebase
django-fly-sqlite-template
go - The Go programming language
examples - OBSOLETE. This repo was for Caddy v1. For v2 and newer, see our forum's wiki category.