The podcast dives into migrating a web app built with Rust and Solid.js from an on-prem server to the cloud. It compares AWS App Runner with Fargate, showcasing App Runner's simplicity and cost-effectiveness for lighter applications. Listeners learn about the seamless GitHub integration for automation and the complexities of autoscaling. The discussion highlights when App Runner excels and when Fargate is the better choice, offering practical insights for developers seeking a smoother deployment experience.
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question_answer ANECDOTE
Real Migration Use Case
Luciano migrated a monolithic Rust and Solid.js web app originally running on-prem to AWS App Runner.
The project served as a safe test bed to experiment with App Runner with minimal risk.
insights INSIGHT
App Runner Simplifies Container Ops
Fargate involves managing many AWS components like VPCs, ALBs, subnets, IAM roles, and ECS clusters.
App Runner abstracts and automates this complexity, offering a simpler way to deploy and scale containers.
insights INSIGHT
App Runner Pricing Model Explained
App Runner pricing includes memory allocated even when containers are frozen and CPU usage only when active.
The baseline cost for an always-on single container is around $5/month for memory plus additional CPU costs when running requests.
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Picture this. You’ve got a web app built with Rust and Solid.js. It started life running on a dusty on-prem server, but now it's time to move it to the cloud. The clock is ticking. You could take the well-worn AWS path: set up a VPC, configure subnets, attach an ALB, define IAM roles, and deploy with Fargate. Or you could try something different. In this episode of AWS Bites, we share the real story of migrating a monolithic containerized app to AWS App Runner. It promises to take your code, build it, deploy it, and scale it with minimal effort. But does it really deliver? We compare App Runner with Fargate based on hands-on experience. You’ll learn where App Runner shines, where it gets in the way, and how we handled everything from custom domains to background job processing. You’ll also hear when we would still choose Fargate, and why. If you've ever hoped for a Heroku-like experience on AWS, or you want to simplify your container deployments without giving up too much control, this episode is for you.
AWS Bites is brought to you in association with fourTheorem. At fourTheorem, we believe serverless should be simple, scalable, and cost-effective — and we help teams do just that. Whether you’re diving into containers, stepping into event-driven architecture, or scaling a global SaaS platform on AWS, our team has your back. Visit https://fourTheorem.com to see how we can help you build faster, better, and with more confidence using AWS cloud!
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