Fly.io

Fly.io Problems & Issues

Platform

Deploy app servers close to your users

Overall Score52/100
Pricing
45
Usability
60
Performance
80
Support
40
Reliability
35
Onboarding
50
Security
65
Integrations
55

Fly.io excels at global edge performance but struggles significantly with reliability and support. The platform is innovative but not mature enough for production-critical workloads. Best for specific edge computing use cases where reliability can be tolerated.

Should you use Fly.io?

Try with caution

Fly.io works for some teams, but users report recurring problems (score 52/100). Most reported issues: Frequent reliability and uptime issues; Postgres database outages and crashes; Pricing surprises and unexpected charges. Not a good fit for: Production apps requiring reliability; Teams needing predictable costs; Developers new to Docker/containers. Users most often switch to Railway, Render, Cloudflare.

Top problems

  • Frequent reliability and uptime issues
  • Postgres database outages and crashes
  • Pricing surprises and unexpected charges

Good for

  • Apps requiring global low latency
  • Elixir/Phoenix developers
  • ML/AI applications needing GPUs

Avoid if you are

  • Production apps requiring reliability
  • Teams needing predictable costs
  • Developers new to Docker/containers

Common alternatives: Railway, Render, Cloudflare

Overview

Fly.io is an application platform that runs apps close to users with edge computing across 35+ regions worldwide. It runs Docker containers on micro-VMs (Firecracker), offering low-latency deployment for global applications. Popular for full-stack apps needing geographic distribution.

11 signals analyzed
258 sources reviewed
Last analyzed: Mar 2026
Company Info
Company:Fly.io
Founded:2017
HQ:Chicago, IL
Employees:51-200
Website:fly.io

Signals & Issues

Patterns extracted from real user feedback — not raw reviews.

Reliability5 signals
Apps and databases deleted without warning

A recent HN thread described 'destructive and erratic behavior from Fly.io's automated systems resulting in total loss of data across multiple organizations.' Users report apps and databases being deleted in unrelated organizations without warning, raising serious data safety concerns.

Impact: 10/10Reported 5xNegativevia Other (8 sources)workflow failure
Frequent reliability and uptime issues

Fly.io has developed a reputation for reliability problems. HN users report 'application uptime is flakey' with Redis/Postgres timeouts a couple times per month. One user experienced TLS certificate renewal failure causing 8 hours downtime. Another reported 24 hours of intermittent 502 errors while status page showed 99.99% uptime.

Impact: 9/10Reported 9xNegativevia Other (45 sources)workflow failure
Postgres database outages and crashes

Fly.io Postgres has recurring issues: databases failing health checks, connection problems happening 'way too frequently for anything stable', databases getting stuck in read-only mode after migrations, and clusters not coming up healthy in certain regions. One HN post reported a Postgres cluster down for 3 days with no response.

Impact: 9/10Reported 8xNegativevia Other (35 sources)workflow failure
Infrastructure changes break deployments

Fly.io changed defaults from dedicated to shared IP addresses, breaking existing deployments and causing users to lose business. Such infrastructure changes without adequate notice or migration paths create significant risk for production applications.

Impact: 8/10Reported 5xNegativevia Trustpilot (12 sources)workflow failure
Deployment failures and hangs

Users experience deployments that hang and fail for no clear reason, requiring retry attempts hours later. Builds fail frequently, new rollouts get stuck, and new Postgres instances sit in limbo. The CI system feels unreliable with spontaneous automation failures.

Impact: 7/10Reported 7xNegativevia Other (28 sources)workflow failure
Pricing3 signals
Pricing surprises and unexpected charges

Users report difficulty predicting costs. One user's bill jumped 70% ($14 to $24) with no changes. Another reported $50-60/month for a low-traffic side project. Hidden costs include: dedicated IPv4 at $2/month per app, volumes charged whether used or not ($0.15/GB), and internal-only apps still consuming resources.

Impact: 8/10Reported 8xNegativevia Trustpilot (30 sources)hidden costs
Aggressive billing with no alerts

Fly.io doesn't support billing alerts, so costs can spiral without warning. Free allowances don't cap your bill - you're automatically charged for overages. Users report receiving $25 unauthorized charges and attempted $747 charges. The complex per-second billing model makes budgeting nearly impossible.

Impact: 8/10Reported 7xNegativevia Trustpilot (25 sources)hidden costs
Free tier confusion and removal

Fly.io no longer offers a general free tier for new organizations, though documentation still references it. Legacy users retained early allowances, causing confusion. Users signing up expecting free hosting are surprised by credit card requirements and daily reminder emails with no unsubscribe option.

Impact: 6/10Reported 7xNegativevia Trustpilot (20 sources)expectation mismatch
Onboarding1 signal
Steep learning curve and complexity

Despite promising simplicity, Fly.io has significant operational overhead. Teams not fluent in Docker face steep onboarding. Users must understand images, processes, volumes, and networking quirks. The platform's complexity masks configuration challenges that slow development velocity.

Impact: 6/10Reported 7xNegativevia Reddit (22 sources)expectation mismatch
Customization1 signal
Limited plug-and-play services

Compared to Heroku or Render, Fly.io has fewer integrated services. Background workers, queues, object storage, and third-party integrations often require manual wiring of external services. This adds complexity for teams expecting a more complete PaaS experience.

Impact: 6/10Reported 6xNegativevia Reddit (18 sources)expectation mismatch
Support1 signal
Support tickets go weeks without response

Users report sending multiple support emails without responses and tickets pending for weeks. While Fly.io has community forums, direct support requires paid plans. Some users with billing disputes found the company unresponsive to urgent issues.

Impact: 6/10Reported 6xNegativevia Trustpilot (15 sources)support breakdown

What Users Love

Global edge deployment across 35+ regions

Fly.io's standout feature is running apps close to users worldwide. With data centers in 35+ regions, latency can drop from 100ms (centralized) to sub-20ms for global users. This is ideal for latency-sensitive applications like real-time dashboards or multiplayer games.

PerformanceMentioned 9x50 sources

Excellent developer experience when it works

Developers praise Fly.io's CLI and deployment workflow. The flyctl tool makes deployments straightforward, and the platform integrates well with modern frameworks. When the platform is stable, the developer experience is considered among the best.

UsabilityMentioned 7x35 sources

Firecracker micro-VMs for fast starts

Fly.io uses Firecracker (same tech as AWS Lambda) for lightweight VMs that start in milliseconds. This enables fast scaling and efficient resource usage compared to traditional container platforms.

PerformanceMentioned 7x30 sources

Usage-based per-second billing

Machines are billed per second, so you only pay for actual compute time. A shared 256MB instance costs about $1.94/month if running continuously. For variable workloads, this can be very cost-effective.

PricingMentioned 6x25 sources

Native support for many frameworks

Fly.io has excellent support for Phoenix/Elixir (they use it internally), Rails, Laravel, and other frameworks. Built-in GPU support is available for ML workloads. The platform is particularly popular in the Elixir community.

IntegrationsMentioned 6x22 sources

Private networking between regions

Fly.io provides private networking (WireGuard) between your apps across regions. This enables distributed architectures with secure inter-service communication without exposing traffic to the public internet.

CustomizationMentioned 5x18 sources

Pricing Plans

Hobby (Legacy Free)
$0/mo

Users: 1 user

Storage: 3GB

Limitations: Community support only, No billing alerts, Free allowances don't cap bills

No longer available for new orgs, Credit card required, Automatic charges for overages
Launch
Popular
$0/mo

Users: Unlimited

Storage: Usage-based

Limitations: No priority support, No SLA, Complex pricing to predict

IPv4 $2/month per app, Volumes $0.15/GB/month (provisioned size), All compute charged even for internal apps
Scale
$29/mo

Users: Per org

Storage: Usage-based

Limitations: Usage costs can still spiral unexpectedly

All compute costs additional, IPv4 and storage costs same as Launch
Enterprise
$0/mo

Users: Custom

Storage: Custom

Limitations: Must negotiate pricing, Long contract terms typical

Requires sales engagement, Likely minimum commitment

Features

Performance

  • Global edge deployment

    35+ regions

  • Auto-scaling

Infrastructure

  • Firecracker micro-VMs

Pricing

  • Per-second billing
  • Billing alerts

    Not supported

Networking

  • Private networking

    WireGuard

  • Custom domains

Databases

  • Managed Postgres

    Reliability issues reported

Features

  • GPU support

    For ML workloads

  • Built-in queues/workers

    Manual setup required

Who Should Use This?

Good Fit

Apps requiring global low latency

Fly.io shines for latency-sensitive apps with global users. If your app needs sub-20ms response times across continents, the 35+ region edge deployment is hard to match elsewhere at similar prices.

Elixir/Phoenix developers

Fly.io has deep Elixir integration (they use it internally) and strong Phoenix support. The platform is popular in the Elixir community and works well with BEAM's distributed nature.

ML/AI applications needing GPUs

Fly.io offers GPU support on their edge network, which is relatively unique among PaaS providers. For ML inference at the edge with low latency, this is a compelling option.

Neutral

Indie hackers and hobby projects

Per-second billing can be cost-effective for low-traffic apps, but the removed free tier and reliability issues are concerning. Great when it works, frustrating when it doesn't. Have backups ready.

Avoid

Production apps requiring reliability

Fly.io's documented reliability issues are concerning: frequent Postgres outages, deployment failures, and apps deleted without warning. HN users advise against it 'outside of toy applications.' Consider more stable alternatives.

Teams needing predictable costs

Without billing alerts and with complex per-second pricing, costs can spiral unexpectedly. Users report 70% bill increases with no changes. IPv4, volumes, and internal apps all add hidden costs. Budget carefully.

Developers new to Docker/containers

Despite marketing simplicity, Fly.io requires comfort with Docker, images, processes, volumes, and networking. The learning curve is steep for those without container experience. Consider Render or Railway instead.

Teams needing robust support

Free tier only gets community support. Even paid support has reports of weeks-long response times. For teams that need reliable support during incidents, consider platforms with better support SLAs.

Regret Patterns

Common buyer's remorse scenarios reported by users.

Production outage with no support response

Users discover during their first production incident that free tier only gets community support. Paid support tickets take weeks. Meanwhile, Postgres is down or deployments are failing with no help from Fly.io.

During first major incident
Reported 8x
Bill spiked unexpectedly with no warning

Without billing alerts, users discover massive charges after the fact. One user saw bills jump 70% with no changes. Another faced a $747 charge attempt. The complex pricing model makes this hard to predict or prevent.

At end of first billing cycle
Reported 8x
Realized multi-region wasn't necessary

Developers chose Fly.io for global edge deployment but later realized their users were mostly in one region. The added complexity and cost of multi-region wasn't justified when a simpler platform would have worked.

After 2-3 months of usage
Reported 6x
Team struggled with container complexity

Teams without Docker experience found the learning curve steeper than expected. Understanding images, processes, volumes, and networking took weeks. A simpler PaaS like Railway would have gotten them to production faster.

During initial setup
Reported 6x
Postgres database corrupted or lost

Users experienced Postgres databases getting stuck, crashing, or in one extreme case, being deleted without warning. Some lost weeks of data. The managed Postgres proved less reliable than expected.

After weeks/months of data accumulation
Reported 5x
Infrastructure change broke deployment

Fly.io changed defaults (like switching from dedicated to shared IPs) without adequate notice, breaking existing deployments. Users lost business while scrambling to fix issues caused by platform changes.

During normal operations
Reported 5x

When It Breaks Down

Scenarios where this product tends to fail users.

Postgres database needs high availability
reliability

Single-node Postgres has no failover during host issues. Users needing HA must run multi-node clusters, adding complexity and cost. Even then, users report clusters failing to come up healthy in certain regions.

App needs predictable monthly costs
pricing

Per-second billing, IPv4 charges, volume costs, and no billing alerts make budgeting impossible. A spike in traffic or a misconfigured service can result in surprise bills. Teams needing predictable costs should look elsewhere.

Team needs reliable customer support
support

Community support is the only option for free tier. Even paid support has weeks-long response times reported. During a production crisis, users are often left troubleshooting alone via community forums.

Production app requires 99.9%+ uptime
reliability

Fly.io's reliability track record includes frequent outages, deployment failures, and status pages showing green during actual incidents. For apps requiring high uptime SLAs, the platform is too risky.

Team is new to containers/Docker
onboarding

The platform requires understanding Docker, Firecracker VMs, volumes, networking, and fly.toml configuration. Teams without this expertise will spend weeks learning instead of shipping, and may still encounter confusing issues.

App needs background workers and queues
customization

Unlike Heroku or Render, Fly.io has no built-in job queues or worker dynos. Users must manually set up and wire external services like Redis queues, adding complexity that other platforms handle natively.

Alternatives Users Switch To

Frequently Asked Questions

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