Key features
- APAC regions — Singapore, Tokyo, Sydney, Hong Kong for low-latency APAC deployment
- Docker container — any APAC Docker image runs as a Firecracker microVM on Fly.io
- Persistent volumes — APAC block storage for stateful databases and file-based apps
- Anycast routing — APAC requests routed to nearest healthy APAC instance automatically
- Fly Machines API — programmable APAC VM lifecycle for batch and scheduled workloads
- Managed Postgres — Fly-managed PostgreSQL clusters in APAC regions with backups
Best for
- APAC full-stack teams needing Docker deployment without Kubernetes — Fly.io deploys any Docker container to APAC regions without APAC cluster management overhead
- APAC applications requiring persistent TCP connections or stateful volumes — WebSocket services, database-backed apps, and long-running APAC workers that edge compute isolates cannot host
- APAC startups and engineering teams deploying polyglot APAC applications — Fly.io's Docker-native model supports any language or framework, unlike JavaScript-only APAC edge platforms
Limitations to know
- ! Cold start on scale-to-zero — Fly Machines that scale to zero have startup latency; APAC teams requiring consistent sub-100ms response times should keep minimum APAC instances running
- ! Immature compared to AWS/GCP — Fly.io's managed database, queue, and storage ecosystem is less mature than AWS APAC services; APAC teams needing RDS, SQS, or S3 equivalents evaluate trade-offs
- ! APAC support response time — Fly.io's community-first support model may not meet APAC enterprise SLA requirements; APAC organizations needing guaranteed APAC support response times evaluate commercial plans
About Fly.io
Fly.io is a global application deployment platform that runs Docker containers as lightweight VMs (using Firecracker microVMs) at regional datacenters worldwide — including Singapore (sin), Tokyo (nrt), Sydney (syd), and Hong Kong (hkg) — providing APAC engineering teams a deployment target that supports any Docker container (not just JavaScript isolates), persistent volumes, long-running processes, and full networking unlike serverless edge platforms.
Fly.io's APAC regional deployment — where APAC engineering teams specify `[regions]` in `fly.toml` to run APAC application instances close to APAC users (Singapore instances serve Southeast Asian users, Tokyo instances serve Japanese users), with Fly.io's Anycast routing directing APAC requests to the nearest APAC healthy instance — provides APAC engineering teams geographic APAC distribution without Kubernetes multi-region complexity or cloud provider APAC region configurations.
Fly.io's persistent volumes — where APAC applications mount Fly volumes (`flyctl volumes create apac_data --region sin`) as writable block storage attached to APAC VM instances — enables APAC engineering teams to run stateful applications (PostgreSQL, Redis, SQLite databases, file-based CMS) on Fly.io without an external APAC database service, suitable for APAC applications that need persistence beyond serverless stateless compute.
Fly.io's machine model — where APAC engineering teams deploy Machines (the Fly.io VM primitive) with configurable CPU, memory, and APAC regional placement using `fly machine run`, supporting APAC stop/start lifecycle management for batch workloads and APAC cost optimization — provides APAC engineering teams a programmable APAC infrastructure API beyond the Heroku-style `git push` model, enabling APAC platform teams to build APAC deployment automation on top of Fly.io Machines for APAC workload orchestration.
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