| Correct me if I am wrong: fly's anycast has its limitations compared to Global Accelerator (GA) though: On ocassion, it breaks UDP protocols that are "connection oriented" (like QUIC and WireGuard, though both have built-in capabilities to recover). There is no way to pin traffic to VMs (route / client affinities) or shape traffic. 100+ locations with GA, and two Anycast IPs (in two distinct "zones"). --- Alternatives to Fly on AWS that I know of: Anycast on AWS without global accelerator: S3 buckets with transfer acceleration); (edge optimized) API Gateway to Lamba / Fargate; S3 + CloudFront. AWS AppRunner + Copilot (which are comparable to Fly + Flyctl) can be geo-routed to nearest instance by DNS-based load balancing with Route53 (not anycast specifically). --- Fly's killer feature (and why we are transitioning to it) is its cost-effectiveness and almost 'zero-devops' setup. - Super cheap bandwidth ($2 per 100GB!) - Free deploys (AppRunner charges for deploys) - Free monitoring (versus expensive but comprehensive CloudWatch) - Free orchestration - Free anycast transit (expensive on aws) - Cheaper, zero-touch, global/cross-region private-network across VMs in the same fly org (zero-muck: transit gateway, nat gateway, internet gateway, vpc private endpoints, iam policies...). - Super cheap and fast disks ($0.15 per GB/disk!) - Easier HA Postgres and HA Redis setups. - GA's TCP proxy does not preserve source/client ip-ports (Fly can). |
This is not a required feature for App Runner to function though. For example if you are using Copilot with App Runner you can drive the build and release to App Runner from your local dev machine, so there is no extra deployment charge beyond what it costs you for electricity to build your container on your own laptop. You only get charged for App Runner deployment automation when you are using AppRunner as a Github Actions / Jenkins replacement to do the Docker image build on the server side.