deploy-cloudrun VS hugo-quick-start

Examples for products in this category are: Google Cloud Run, AWS App Runner, Azure Container Apps. Each has different scalability, cost, and integration trade-offs.

Cloud Run is a managed platform that enables you to run container based workloads on top of Google infrastructure. Cloud Run automates many of the above steps and allows you to focus on developing and deploying updates to your application.

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.

The quickest way is to deploy to Cloud Run. The service will use Dockerfile to build the production image. You can even omit the GOOGLE_APPLICATION_CREDENTIALS env var as these are in GCP’s projects by default.

In our company we use Google Cloud Run to deploy web applications, and every app is built into a docker image. For now we use the default memory limit by Cloud Run which is 256 MB per container. Recently we started to notice that the part of applications go beyond this limit, causing a container to restart and in some cases even resulting to downtime of a service.

It's perhaps a little fiddlier than other options, but you can probably host it on Google Cloud Run and it would fall within the free tier.

You can see more here on how to use the google cloud run github actions.

I wonder what the aversion is to using a plain old server / vps. It's really not that difficult to deploy nowadays [0][1][2][3] and I'd rather get an $8 bill every month as insurance than ever worry about shit like OP just went through. It'll probably be more performant anyway due to cold starts and "edge" still having to hit us-east-1 for data.. cache your static files with Cloud Flare/Front. People are always surprised by how much traffic a single VPS can take[4] and believe it all has to be serverless to be web scale. I believe HN still runs on a single core or something.

There's a ton of places to get cloud credits as well, too many to link, so just Bing™ it

[0] https://docs.aws.amazon.com/cdk/api/v2/docs/aws-cdk-lib.aws_...

[1] https://aws.amazon.com/apprunner/

[2] https://cloud.google.com/run

[3] https://render.com/

[4] https://news.ycombinator.com/item?id=34676186

Google Cloud Run

Render.com — a pay-as-you-go cloud platform for deploying web applications of all kinds

Render is a cloud-based application hosting and database platform for building, deploying, and scaling applications with ease. It provides enterprise-grade data stores, automatic scaling, backups, and high availability, and it supports PostgreSQL databases.

Their status page says operational, but even their main website https://render.com is down

The main upside is cost-effectiveness, but managing VPS is still painful which can be solved with PaaS like Heroku, Render, or similar.

I opted for utilizing the free service provided by render.com to host both the Node.js Server (Colyseus) and the Vue.js web application (frontend).

Render is a platform for deploying applications built with diverse technologies such Node.js, Python, Ruby, Go. It also scales your application's resources up or down based on traffic demands.

Like Heroku, and other cloud hosting platforms, Render is a cloud application hosting platform for developers to deploy static sites and dynamic applications. It also offers a fully managed hosted database with internal and external connectivity. This makes it useful for both frontend and backend developers alike.

been happy with https://render.com/ free static hosting with custom domains.

used to use s3 doe the longest time, but aside from costing a nominal fee, it's so unnecessarily complicated in this day and age.

Render: Host web applications and static sites effortlessly.

Platform as a Service (PaaS) is a term that captures tools built for developers to use where they don’t need devops engineers to deploy to the cloud. Heroku was the “category-defining” product here, and modern successors include Vercel, Render, Railway, Replit, platform.sh, Aptible, Northflank, and more. We have to say that there are some amazing products in this category. Developer Experience is at a premium!