strapi-connector-firestore
deploy-cloud-functions
strapi-connector-firestore | deploy-cloud-functions | |
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1 | 18 | |
162 | 290 | |
- | 2.1% | |
0.0 | 6.0 | |
7 months ago | 29 days ago | |
TypeScript | TypeScript | |
MIT License | Apache License 2.0 |
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strapi-connector-firestore
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?
firecms - Awesome Firebase/Firestore-based CMS. The missing admin panel for your Firebase project!
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.
reactfire - Hooks, Context Providers, and Components that make it easy to interact with Firebase.
dockerfile-rails - Provides a Rails generator to produce Dockerfiles and related files.
rowy - Low-code backend platform. Manage database on spreadsheet-like UI and build cloud functions workflows in JS/TS, all in your browser.
functions-samples - Collection of sample apps showcasing popular use cases using Cloud Functions for Firebase
geofirex - :globe_with_meridians: :round_pushpin: Geolocation Queries with Firestore & RxJS
go - The Go programming language
firestore-backup-restore - NPM package for backup and restore Firebase Firestore
django-simple-deploy - A reusable Django app that configures your project for deployment
firetable - Unlock the full potential of Google Firestore with Excel/Google Sheets like UI.
django-fly-sqlite-template