I've read that article, but I'm thinking there are other better (and most importantly cheaper) ways of doing that, such as using App Engine (given that you have to mitigate the maximum request timeout and to make sure there are constantly exactly 1 instance running). Source: 15 days ago
Shout out to GCP App Engine for deploying anode/Express severe. Source: 21 days ago
If your project is a bit more complicated using next.js or react.js or angular.js, you may find some free Platfrom-as-a-Service%20is%20a%20complete%20cloud%20environment,middleware%2C%20tools%2C%20and%20more.). I have seen some of my peers using free PaaS like Heroku, Vercel and I have no experience in using PaaS but I will recommend you to use PaaS from either of the three 1. Google Cloud's Google App Engine 2.... Source: 2 months ago
UNIX is irrelevant on the cloud, unless one is stuck deploying legacy workloads on VMs, this is what we use in modern applications not stuck in the past. https://aws.amazon.com/eks/ https://azure.microsoft.com/en-us/products/kubernetes-service https://cloud.google.com/kubernetes-engine/ https://cloud.google.com/appengine https://azure.microsoft.com/en-us/products/app-service https://aws.amazon.com/lambda/... - Source: Hacker News / 3 months ago
This action deploys your source code to App Engine and makes the URL Available to later build steps via outputs. This allows you to parameterize your App Engine deployments. - Source: dev.to / 4 months ago
PAAS is an infrastructure comprised of storage, servers, development tools, and networks that support the entire application life cycle from development to testing, deployment, and updating. As with IAAS, you can pay for only the resources you need as you continue to use the platform. Google App Engine is a PAAS suitable for AI projects. - Source: dev.to / 4 months ago
Since your excel contains "business logic" you need to first (re)design and (re)implement this in a programming language like Python (or any other language that has web API framework would do) that will expose the data (calculations) as API. The API can be used by Node.js/React without any problem. As far as the database is concerned you have a lot of choices - depending on the type of data you can just start... Source: 4 months ago
PaaS services go even one step further and often offer direct GitHub, GitLab, or Bitbucket integrations to get an automated code deployment process. Take a look at AWS Elastic Beanstalk, Heroku, Google Cloud App Engine, and DigitalOcean App Platform. - Source: dev.to / 5 months ago
Google App Engine is a cloud computing platform as a service for developing and hosting web applications in Google-managed data centres. Applications are sandboxed and run across multiple servers. - Source: dev.to / 7 months ago
Google App Engine provides a fully managed and serverless platform for web applications and products. You can deploy your app with Google App Engine in minutes with simple commands. Once your code has been set up, you can deploy from a terminal using $ gcloud app deploy. After deployment, Google App Engine will automatically upload code files and run the code in Google Cloud Platform. - Source: dev.to / 9 months ago
You might have created several react applications in a local machine and accessed them by running npm start. Have you ever wondered how to deploy it and host it somewhere? In this article, we will see how to deploy a react app created using create react app to Google Cloud App Engine. - Source: dev.to / 10 months ago
Hosting on Google App Engine (with a custom engine config that keeps a single dynamic instance to minimize cpu hours per month). Great for low-user prototyping as it's dormant most of the time, but wakes up much faster than Heroku's equivalent (you can't even tell it went to sleep). Easy to scale up. Source: 10 months ago
Appspot.com is the domain that hosts all App Engine apps (at least those that don't use a custom domain). It's like gmail.com host main, and appspot.com hosts apps. It's kind of like Heroku and has been around for at least a decade. https://cloud.google.com/appengine. - Source: Hacker News / about 1 year ago
In addition to Cloud Run (suggested by others), you should also take a look at Google App Engine (Standard & Flex environments). This document talks about when to choose standard over flex or vice versa. Source: about 1 year ago
Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: over 1 year ago
If you have a UI, I would recommend Google App Engine for the node.js App. It's serverless like Cloud Run. If you use Google App Engine Standard, the instance will go down when there is no traffic which means you have the same advantages as in Cloud Run. You'll have to execute your task using Google Cloud Task but for jobs hosted on Google App Engine, your process cannot run for more than 10 minutes if you're... Source: over 1 year ago
Google created the first serverless model in their Google App Engine product, which offered auto-scaling stateless code execution. App Engine was different from most more recent serverless function providers, but it was the first product to try this idea. However, while it was used by companies like Snapchat, it did not catch on with the overall developer community. - Source: dev.to / over 1 year ago
I am not sure what you mean by "which serverless service in google app engine" but I am just using it to run my Django app. I think the Google App Engine is serverless though. It does say "fully managed serverless platform" on the official page. Source: over 1 year ago
Notes: AWS APP Runner is an easy to use service. You can get started with it without any prior AWS knowledge. It can help you deploy your services (dockerized, nodejs or python) easily. Not exactly, but it can be considered as a toned down version of AWS Elastic Beanstalk or Google's App Engine. - Source: dev.to / almost 2 years ago
Cloud computing also introduced other ways to think about service development, via platform-as-a-service (PaaS) or function-as-a-service (FaaS) offerings, e.g. Google App Engine, AWS Elastic Beanstalk, AWS Lambda, Azure Functions, and many others. With PaaS/FaaS systems, the compute infrastructure running your service ceases to be your concern, allowing you to focus on the higher level semantics of your service.... - Source: dev.to / almost 2 years ago
I agree with this sentiment. If indeed your use cases are exceeding what Cloud Functions were made for, then yeah, take a look at App Engine (source-based like Cloud Functions) or Cloud Run (container-based, easier to test locally). Others have mentioned Functions Framework, which gives you that local development/testing, and then you can deploy those to Cloud Run. Source: almost 2 years ago
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