https://aws.amazon.com/free/containers/
Amazon ECS is a fully managed container orchestration service that helps you easily deploy, manage, and scale containerized applications. It deeply integrates with the rest of the AWS platform to provide a secure and easy-to-use solution for running container workloads in the cloud. ALWAYS FREE. Amazon ECS is always free.

https://www.youtube.com/watch?v=cw34KMPSt4k
Build a Python Flask app for removing the background from images, containerize it with Docker, then deploy it with serverless cloud tools. Watch Docker 101 h

https://aws.amazon.com/free/serverless/
Build serverless solutions using these product offers from the AWS Free Tier. Compute service that runs your code in response to events and automatically manages the compute resources. Coordinate components of distributed applications. Scalable queue for storing messages as they travel between computers. Fast, flexible, fully managed push

https://aws.amazon.com/blogs/containers/fast-forward-on-your-first-serverless-container-deployment-on-aws/
After executing three steps, we are ready to work in the fresh Cloud9 instance. Simply provide a name like 'first container on aws' and hit "Next step". In the second step, you can leave the settings as is and hit "Next step". Step three summarizes your previous steps. Review and select "Create environment".

https://cloud.google.com/blog/topics/developers-practitioners/cloud-run-story-serverless-containers
Cloud Run is a fully-managed compute environment for deploying and scaling serverless HTTP containers without worrying about provisioning machines, configuring clusters, or autoscaling. ... With a single command—"gcloud run deploy"—you go from a container image to a fully managed web application that runs on a domain with a TLS

https://spectralops.io/blog/7-smart-steps-to-run-serverless-containers-on-kubernetes/
Step 1: Choosing the Right Platform. Choosing the right Kubernetes platform is essential for the effective and efficient deployment of serverless containers. This critical first step influences not only the ease of deployment but also the performance and security of your serverless applications. Here is a quick list of popular Kubernetes

https://learn.microsoft.com/en-us/azure/container-instances/container-instances-overview
Fast startup times. Containers offer significant startup benefits over virtual machines (VMs). Azure Container Instances can start containers in Azure in seconds, without the need to provision and manage VMs. Bring Linux or Windows container images from Docker Hub, a private Azure container registry, or another cloud-based docker registry.

https://cloud.google.com/blog/products/serverless/cloud-run-bringing-serverless-to-containers
Developers love serverless. With serverless, you can focus on code, deploy it, and let the platform take care of the rest—all while only paying for exactly what you use. But traditional serverless solutions can limit what programming languages you can use, or require you to organize your code around functions.

https://www.serverless.com/framework/docs-getting-started
Make sure your terminal session is within the directory that contains your serverless.yml file. If you just created a Service, don't forget to cd into it. cd [your-new-service-name] Deploying will create/update cloud infrastructure and code on AWS, all at the same time. Run the deploy command: serverless deploy.

https://www.analyticsvidhya.com/blog/2023/03/top-4-cloud-platforms-to-host-or-run-docker-containers-for-free/
Railway. The railway is a cloud-based deployment platform enabling users to publish and host applications in the cloud. The railway takes care of managing these servers, and databases, thus taking care of the infrastructure. It supports various languages, including Python, Next.js, Node, and many others.

https://blog.logrocket.com/free-services-deploy-node-js-app/
1. Qovery. Qovery bills itself as "the simplest way to deploy your full-stack apps.". You will need to dockerize your Node.js app for it to be easily deployed to Qovery, so go ahead and follow this tutorial for Node.js and Docker if your app is not already dockerized. The Qovery UI is intuitive and very useful.

https://www.youtube.com/watch?v=4PE9CYiYoYA
★ Amplify makes it easy to deploy containers on AWS with two lines of commands. In this episode, let's focus on a demo on how to do that :) 🚀 Join "The Comp

https://lumigo.io/blog/four-ways-run-containers-aws/
The most popular compute services to build serverless and containerized applications on AWS include: AWS Lambda. AWS AppRunner. Amazon Elastic Container Service (ECS) Amazon Elastic Kubernetes Service (EKS). Each service has different scalability characteristics and restrictions, all while fitting unique use cases.

https://medium.com/@sassenthusiast/serverless-simplified-integrating-docker-containers-into-aws-lambda-via-serverless-yml-cdef9be1681e
To deploy a Docker container as an AWS Lambda function using the Serverless Framework, you'll need to modify your serverless.yml configuration to reference the Docker image stored in Amazon ECR

https://implementing.substack.com/p/how-to-setup-serverless-framework
Once Node.js is correctly configured, it is possible to install the serverless CLI via Node's package manager (NPM) in this way: npm install -g serverless. With the -g option we will install the package globally, so that we can use the CLI for each project. Once installed, you can test it by typing: sls —-version # or "serverless --version"

https://medium.com/codex/run-your-docker-containers-for-free-in-the-cloud-and-for-unlimited-time-361515cb0876
Basically terraform will create one VM instance as big as the free tear allow us, and let it ready so we can ssh into the machine and with docker ready to start our containers. 5.

https://www.cloudflare.com/learning/serverless/serverless-vs-containers/
Serverless computing and containers are both architectures that reduce overhead for cloud-hosted web applications, but they differ in several important ways. Containers are more lightweight than virtual machines, but serverless deployments are even more lightweight and scale more easily than container-based architectures.

https://www.serverless.com/blog/container-support-for-lambda
Create a repository for corresponding lambda image in AWS ECR service. The create repository command is image specific and will store all its versions. We suggest naming the repository the same as the image. $ aws ecr create-repository --repository-name --image-scanning-configuration scanOnPush= true.

https://aws.amazon.com/fargate/
AWS Fargate is a serverless, pay-as-you-go compute engine that lets you focus on building applications without managing servers. Moving tasks such as server management, resource allocation, and scaling to AWS does not only improve your operational posture, but also accelerates the process of going from idea to production on the cloud, and lowers the total cost of ownership.

https://www.infoworld.com/article/3510472/5-ways-to-do-serverless-on-kubernetes.html
Knative. Kubeless. OpenFaaS. OpenWhisk. Call it " serverless ," call it "event-driven compute," or call it "functions as a service (FaaS)," the idea is the same: dynamically allocate

https://medium.com/ovrsea/using-lambda-container-with-the-serverless-framework-374a86cb4429
Serverless is a tool that makes it easier to create, test, and deploy a serverless architecture project. It supports the majors cloud providers like AWS, GCP, Azure, etc. It supports the majors

https://amplication.com/blog/serverless-vs-containers-for-microservices-what-should-you-choose
Complex and Diverse Applications: Both Containers and Serverless Functions are suitable for complex applications, but Containers may have an edge in managing applications with diverse functionalities and services due to their greater flexibility in terms of resource allocation and runtime environment customization. 2.

https://stackoverflow.com/questions/76841147/how-dockerize-a-serverless-project
1. I have a project that uses the serverless framework to deploy lambdas on my AWS environment. This project is a web server that receives API calls. However, I have a customer who would like to host it locally on one of his servers using docker. The problem is that I can't find any solution to dockerize my serverless project.

https://www.azure.microsoft.com/en-us/free/free-account-faq/
Container Apps : Build and deploy modern apps and microservices using serverless containers. Containers : 180,000 vCPU seconds, 360,000 GiB seconds, and 2 million requests : Always : Container Registry : Store and manage container images across all types of Azure deployments. Containers : 1 Standard tier registry with 100 GB storage and 10

https://www.freecodecamp.org/news/how-to-deploy-aws-lambda-with-serverless/
This project is a simple python function that is deployed to AWS Lambda, API Gateway, and CloudWatch using the Serverless Framework. The function is triggered by an HTTP GET request and returns a simple string. The function is deployed to the eu-west-1 region. First, install Serverless Framework using npm:

https://www.red-gate.com/simple-talk/devops/containers-and-virtualization/going-serverless-in-kubernetes-with-knative/
It packages applications and their dependencies into standardized entities known as containers. These containers are lightweight, portable, and capable of operating independently. Containers allow developers to build, deploy, and manage applications in different working environments. In addition, containers can … Read more

https://www.forbes.com/sites/forbestechcouncil/2024/06/26/move-over-vms-and-containers-webassembly-is-the-new-game-in-town/
What serverless needs to live up to its promise is a cloud runtime that is faster to start than VMs and even faster and easier to use than Docker containers. As it scales up, it should be both

https://techcommunity.microsoft.com/t5/apps-on-azure-blog/enhancing-performance-in-azure-container-apps/ba-p/4171138
Azure Container Apps is a powerful platform for running serverless, containerized applications and microservices. In the team's ongoing commitment to improving Azure Container Apps' performance, we've recently made significant improvements to make the scaling and load balancing behavior of Azure Container Apps more intuitive and better align with customer expectations to meet their

https://bismuthcloud.substack.com/p/how-we-built-the-tech-that-powers
The API is the "control plane" side of the system, providing a simple CRUD-like interface for all containers running in the orchestrator. To create a container, the API picks an available backend machine the container will run on, and inserts a new node into ZooKeeper representing the deployment of this container.

https://www.youtube.com/watch?v=AFIHug_HujI
Spring I/O 2024 - 30-31 May, BarcelonaSlides: https://speakerdeck.com/deki/serverless-java-with-springServerless computing revolutionizes how we build and ru