Fly.io vs Northflank Containers
A detailed comparison to help you choose between Fly.io and Northflank Containers.
Quick Verdict
4.0/5
Fly.io
0 reviews
3.9/5
Northflank Containers
0 reviews
Fly.io is rated higher (4.0 vs 3.9). Fly.io runs Docker containers on bare metal in 35+ cities globally. Machines run close to users — sub-50ms latency from most locations. Supports any language and framework. Northflank provides container deployments with automatic Docker image builds from GitHub, background workers, cron jobs, and secret management. Kubernetes-powered with a developer-friendly interface.
Fly.io Deploy apps globally with sub-50ms latency | Northflank Containers Container deployments with built-in CI/CD | |
|---|---|---|
| Overview | ||
| Rating | 4.0 (0 reviews)✓ | 3.9 (0 reviews) |
| Pricing model | usage-based | freemium |
| Starting price | From $2.19/mo | Free tier available✓ |
| Best for | Latency-sensitive applications — APIs, real-time apps and globally distributed backends — run by teams comfortable with a CLI-first platform and pay-as-you-go pricing | Engineering teams wanting Heroku-grade developer experience with Kubernetes-grade control: GitHub-to-deployment pipelines with per-PR previews, multi-cloud deployment including your own VPC, and GPU/AI workloads on the same platform. |
| Specifications (entry plan) | ||
| CPU cores | 1 vCPU | — |
| RAM | 0 GB | — |
| Storage | 0 GB | — |
| Bandwidth | 0 TB/mo | — |
| SLA uptime | 99.9% | — |
| Data-center count | 17 | — |
| €/vCPU/mo | €2.19 | — |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ||
| Free tier | ||
| Data-center locations | ||
| Regions | Netherlands, Sweden, France, Germany, UK, US, Canada, Brazil, South Africa, Japan, Singapore, Australia | — |
| Tags | ||
| Tags | free tiermanaged optionipv6eu datacenterus datacenterapac datacenterapi accessprivate networking | free tiermanaged optionteam featuresapi accesskubernetes support |
| Visit Fly.io → | Visit Northflank Containers → | |
Fly.io
Pros
- + Fully published pricing for every billed resource, with worked example bills
- + Cheap always-on compute — $2.19/30 days for the smallest Machine in the cheapest regions
- + 17 regions on Fly's own hardware with Anycast routing and per-second billing
- + Strong ecosystem: Managed Postgres, Fly Kubernetes, Tigris S3-compatible object storage, Upstash extensions on one invoice
- + Concrete Enterprise SLA terms (99.9%, 15-minute urgent response) published openly
Cons
- - Free tier replaced by a tight trial (2 VM hours or 7 days)
- - Managed Postgres starts at $38/month — services are priced like a managed PaaS, not like the VMs
- - CLI-first workflow with real conceptual overhead (Machines, Apps, fly-replay, 6PN networking)
- - Uptime SLA only covers Enterprise plans; SLA downtime definition excludes hacking and virus attacks
- - Region count has shrunk from the widely quoted 35+ to 17, and prices vary by region
Northflank Containers
Pros
- + Per-second, usage-based pricing with published unit rates and no seat fees
- + Real free Sandbox: 2 services, 2 jobs, 1 database, up to $20/mo resources, always-on compute
- + BYOC runs the platform in your AWS/GCP/Azure/Oracle VPC while you keep your cloud commitments
- + Strong CI/CD: per-PR preview environments, stored builds with rollback, release pipelines
- + GPU workloads (L4/A100/H100), Jupyter, secure code execution, RWX volumes: AI-ready beyond typical PaaS
- + UI, CLI, API, and GitOps control surfaces with RBAC, secrets, and audit-oriented enterprise features
Cons
- - Young company (founded 2019, Series A): less operational track record than incumbents
- - Contractual SLA and 24/7 support are Enterprise-only
- - Storage, IOPS, throughput, egress, and gateway line items stack up on database-heavy architectures
- - Card/payment-method requirement for the free tier conflicts between the pricing page and billing docs
- - Deep platform abstraction means application-level lock-in even with BYOC
- - Documentation is thorough on features but thin on migration patterns and BYOC networking edge cases
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