TL;DR
- I no longer recommend Railway for serious production workloads after its recent pattern of incidents.
- Fly.io is not simpler, but it is one of the first alternatives worth evaluating if you want more control over infrastructure and blast radius.
- Even if Fly.io is not your final choice, I think teams on Railway should begin planning a move now rather than waiting for another incident.
I used Railway for the same reason many developers do. It made deployment simple.
Connect a repository, deploy an app, add a database, and move on. For a long time, that was exactly what I wanted. I could push code without thinking much about servers, routing, regions, or the shape of the infrastructure underneath my application.
Then Railway’s May 2026 outage broke that trust model for me.
Railway’s own postmortem says the incident started when Google Cloud incorrectly suspended Railway’s production account, and as cached network routes expired, the outage extended beyond GCP and affected all Railway workloads. At that point, the question for me stopped being whether Railway still had strengths. It started being whether I should keep recommending it as a default place to run serious apps.
This article is not asking whether Railway still has strengths. It is asking where teams should look once they decide Railway is no longer a safe default.
If you’re on Railway today, I think you should be evaluating your exit options before the next outage makes the decision for you.
This is the first article in a larger series evaluating hosting alternatives in light of Railway’s recent issues. I started with Fly.io not because I think it is automatically the best answer for every team, but because it directly addresses the specific problem Railway exposed: lack of control over failure domains.
My Recommendation Right Now
Do not start new serious production deployments on Railway. If you already run critical workloads there, begin evaluating migration paths now.
I am not saying Fly.io is the right destination for every team. I am saying Railway is no longer the platform I would recommend staying on for serious production apps.
Why Railway Was Attractive Before Reliability Became the Main Concern
Railway earned attention for a good reason: it dramatically reduced deployment friction.
You could go from a GitHub repository to a live application with almost no configuration, often without writing a Dockerfile or making many infrastructure decisions. For solo developers, small teams, and anyone without dedicated DevOps support, that abstraction was genuinely useful.
That is still the best explanation for why smart developers chose Railway. But it is no longer enough for me to recommend it for serious production systems.
What Railway’s May 2026 Outage Changed in My Evaluation
The May 19, 2026 incident was not just a bad day. It was a trust-threshold event.
My code did not fail. My database did not melt down under load. The problem was that Railway’s routing and control-plane dependencies became the point of failure. Once that happened, the fact that the platform was easy to use mattered much less than the fact that I had almost no visibility and almost no control.
That event ended Railway’s status, in my mind, as a recommended default for production workloads. I no longer think it is enough to say Railway is convenient and hope the architecture around it improves later.
To Railway’s credit, the company outlined architectural changes intended to remove GCP from the critical path and distribute the network plane more broadly. But those are forward-looking fixes. My recommendation has to be based on the platform risk visible today, not the platform shape I hope exists later.
Why I No Longer Recommend Railway for Serious Production Apps
My concern is no longer one isolated outage. It is the pattern of platform-level incidents and what they reveal about dependency concentration and operational trust.
The May 2026 outage followed a documented series of production-impacting events, including a December 2025 fleet-wide resource exhaustion incident caused by a cryptominer exploit and a March 2026 data mix-up where a caching misfire served authenticated user data to the wrong users.
No platform is incident-free. That is not the standard. The real issue is what those incidents say about the platform’s failure modes, trust boundaries, and blast radius. For me, Railway crossed the line from “convenient with risk” to “not a default I want to keep recommending for serious apps.”
You do not need to know your destination yet to know it is time to plan your exit.
Why Fly.io Was the First Alternative I Looked At
I did not choose Fly.io because it is obviously better at everything. I looked at it first because it directly addresses the specific problem Railway exposed: lack of control over failure domains.
Fly.io approaches hosting very differently. Railway abstracts infrastructure away. Fly.io gives you more direct control over regions, Machines, networking, and placement.
You deploy Machines into global regions. You use the flyctl command-line tool and a fly.toml configuration file to decide how many Machines to run and where they should live. Its private networking, which uses 6PN, lets application components communicate over private IPv6 addresses inside your organization.
Public ingress still depends on Fly.io’s routing layer, so this is not a complete escape from platform dependency. But after a black-box outage where I had no real levers to pull, Fly.io was the first alternative I wanted to study because it offered more explicit architectural control.
Railway vs Fly.io, High-Level Comparison
The comparison matters because I think the decision is no longer whether to stay comfortably on Railway, but which trade-offs you are willing to accept after leaving it.
| Platform | Abstraction level | Regional control | Operational overhead | Best fit |
|---|---|---|---|---|
| Railway | High-level PaaS | Abstracted | Low | Fast deployment of simple apps and prototypes |
| Fly.io | Infrastructure-aware | Explicit | High | Apps needing edge placement and custom topology |
Railway still wins on immediate simplicity. Fly.io becomes more interesting when failure domains, regional placement, and networking behavior matter enough that you want to shape them yourself.
Failure Model & Blast Radius: What Breaks When the Platform Fails?
This is the section that matters most to me.
The May 19, 2026 Railway incident was a cascade failure. When Railway’s production account on GCP was suspended, it affected the dashboard, API, control plane, databases, GCP-hosted compute, builds, deployments, and eventually active routing for workloads outside GCP. Because Railway makes those architectural decisions for you, there was limited visibility into the topology and no direct way for customers to contain the blast radius.
Railway’s own postmortem was clear: at the peak of the incident, workloads across all regions were unreachable.
Fly.io is not immune to outages. Its status history shows networking and regional incidents too, including IPv6 issues affecting some Machines in specific regions. The differentiator is not that Fly.io never fails. The differentiator is that Fly.io gives you more architectural levers when things fail.
If your users are split across North America and Europe, you can explicitly place Machines in ord and ams, decide where the database primary lives, and design traffic handling around regional assumptions. If ord has a problem, ams may keep serving traffic, assuming your app and data layer are built for that reality.
That does not make Fly.io easy. Multi-region databases, failover, replication lag, and state management are hard distributed systems problems. But with Fly.io, those trade-offs are visible and designable. With Railway, the platform abstraction is doing more of that on your behalf, which also means you inherit more of its failure shape when the platform itself breaks.
Operational Control: How Much Do You Want to Own?
Moving away from Railway’s simplicity comes with immediate friction.
Railway offers one of the fastest paths from a code repository to a running service. Fly.io exposes more of the machinery. You need to understand fly.toml, Machines, networking, scaling behavior, cold-start trade-offs, and where your database lives. Fly offers automated deployments of Postgres on unmanaged compute primitives, so you still need to think about backups and major version upgrades. It also offers fully managed Upstash Redis natively through its CLI. Railway provides containerized database templates backed by persistent volumes, which changes how migration and ongoing operations feel.
Higher operational burden is a real downside, but it may be a reasonable price for teams that no longer want Railway’s black-box dependency model.
On Fly.io, the reliability work shifts toward you. You choose how many Machines run, which regions they run in, whether non-primary regions stay warm, how private networking is debugged, and what happens when a region has capacity or IPv6 issues. That is a burden. It is also, for some teams, the point.
Workload Fit & Production Readiness
More control is useful only if your team can actually use it.
| Question | Why it matters |
|---|---|
| Do I actually need regional control? | Fly.io is more compelling when the app benefits from running close to users or across multiple regions. |
| Am I comfortable thinking about machines and placement? | Fly.io exposes more infrastructure concepts than Railway. That can help reliability planning, but it also increases responsibility. |
| What happens if one region has problems? | The value of regional control depends on whether the app can handle regional failure. |
| Where will the database live? | App regions matter less if the database is far away or becomes the real bottleneck. |
| How will I monitor app health? | More control also means the team needs clear logs, metrics, and incident response habits. |
| Can my team debug networking issues? | Fly.io’s networking model can be powerful, but teams need enough comfort to troubleshoot it. |
| Is the added complexity worth it for this app? | Some apps do not need Fly.io’s control model. Another platform may still be a better fit. |
For prototypes and internal tools, Railway’s simplicity may still look attractive on paper.
For production-critical apps, I would not treat Railway as the default anymore.
That does not mean every team should choose Fly.io. It means I think teams should evaluate alternatives based on workload, operational maturity, geography, and failure tolerance rather than assuming Railway still deserves default trust.
Pricing and Cost Predictability
Pricing matters, but after platform-wide reachability failures, architecture and trust are the first-order decision criteria.
Railway uses usage-based billing, which can work well for smaller or intermittent workloads but can become harder to predict under changing load patterns. Fly.io pricing depends on Machine type, CPU, memory, storage, bandwidth, region, and database choices. Depending on your shape of traffic, either platform can look cheaper.
Model your actual workload rather than relying on generic price labels. But I would not let pricing be the deciding factor until I was satisfied with the platform’s failure model.
Verdict: Should You Move From Railway to Fly.io?
I’m not saying Fly.io is the right destination for every team. I am saying Railway is no longer the platform I’d recommend staying on for serious production apps.
Fly.io is one of the first alternatives I would evaluate if I wanted more control over regions, placement, and failure domains. It is not the easiest option, and for some teams it will introduce more operational overhead than they reasonably want to own. But if Railway’s recent incidents made you uncomfortable with black-box reliability, Fly.io is a serious place to start.
The bigger conclusion is not “everyone should move to Fly.io.” The bigger conclusion is that I think teams running meaningful workloads on Railway should begin planning a move now rather than waiting for another outage to force a rushed decision.
If You’re On Railway Today, What Should You Do Next?
- Stop treating Railway as the default choice for new production services.
- Identify which apps would be most painful to lose in a platform-wide outage.
- Shortlist two or three alternatives based on workload, not brand preference.
- Run a migration test on one non-trivial service so the work becomes concrete.
- Make the move before urgency makes the choice for you.
This Series
This is the first article in a series about where I would move workloads after deciding Railway is no longer a platform I want to rely on by default.
I started with Fly.io because it is one of the clearest alternatives if your main concern is control. Other platforms in the series may prove to be better fits for different workloads, teams, and operational constraints.
Frequently Asked Questions
Platform Comparisons & Trade-offs
Why compare Railway with Fly.io first?
I evaluated Fly.io against Railway first because their philosophies are structurally opposite. Railway hides infrastructure to make deployments frictionless. Fly.io exposes control over regions, Machines, and private networking. That made it the most direct way to test the question Railway’s outage raised for me: how much control do I want when the platform fails?
What is the biggest Railway vs Fly.io trade-off?
The main trade-off is operational convenience versus infrastructure control. Railway manages more of the platform for you. Fly.io asks you to think about topology, placement, scaling behavior, and failure planning. After Railway’s recent incidents, I think more teams need to take that trade-off seriously rather than defaulting to convenience.
Is Fly.io harder to use than Railway?
Yes. Fly.io requires more operational involvement than Railway’s simple deployment model. You need to understand Dockerfiles, Machines, regions, private networking, scaling behavior, and your own database plan. That complexity is real, but it may be worth taking on if you no longer trust Railway as the default home for serious production apps.
Reliability & Production Readiness
Is Railway reliable enough for hosting production applications?
For serious production applications, I would not recommend Railway as the default choice today. The concern is not only the May 19, 2026 outage, but the broader pattern of platform-level incidents and what they reveal about concentration of control-plane and routing risk.
What are the limitations of Railway for production deployments?
Railway gives you limited ability to manage failure blast radius because routing and control-plane decisions are largely owned by the platform. During the May 2026 outage, workloads became unreachable globally at peak impact. That left customers with limited visibility and few direct topological levers to reduce exposure when the platform itself had problems.
Is Fly.io more reliable than Railway?
Not automatically. Fly.io can still have incidents. The difference is that it gives you more explicit control over regions, Machines, and networking, which can help you design around some failure modes. The reliability benefit depends on whether your team actually uses those levers well.
Migration & Alternatives
Should small projects move from Railway to Fly.io?
Not every small project needs Fly.io specifically. If the extra operational burden would outweigh the benefit, another alternative may make more sense. But if availability matters at all, I still think teams should consider moving away from Railway over time rather than assuming the current risk profile is acceptable by default.
How do I migrate from Railway to Fly.io?
Moving from Railway to Fly.io is a re-platforming project, not a one-click migration. You need to make your build process explicit, move environment variables into Fly secrets, replace Railway’s internal routing assumptions with Fly.io’s private networking model, choose a database strategy, move persistent storage if you use volumes, recreate scheduled jobs, and test DNS cutover before sending production traffic to the new platform.
What are good alternatives to Railway for production apps?
Fly.io is one of the first platforms I would evaluate for control-heavy workloads, but the bigger point is that teams should be evaluating alternatives now rather than assuming Railway will earn back default trust on its own. The right destination depends on your workload. For some teams that may be Fly.io, while others may prefer Render, Vercel, AWS, or another platform that better fits their operational model.
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