All companies that run software eventually run into the same problem: Building the thing is only half the battle. After all, someone has to keep the product running once it is created. As a result, we now have servers, databases, networking, monitoring, security, scaling, deployments, backups, environments, and approximately 47 other things we didn’t think about when we first thought of the product.

For a lot of businesses, though, infrastructure can eventually eat up as much engineering time as the product itself. That’s where Railway comes in.

Railway is a cloud platform designed to handle much of the infrastructure work involved in deploying and running software. With features such as scaling, monitoring, networking, and security, it’s a full-stack cloud for web apps, servers, databases, and more.

Rather than babysitting infrastructure, build something customers care about. In practice, this looks like this.

Less Time on Infrastructure, More on the Product

Speed is the most obvious benefit.

In addition to connecting to a code repository, Railway is able to determine what the project needs and automatically configure the deployment settings. In other words, developers don’t necessarily need to spend their first few days figuring out unfamiliar infrastructure stacks and writing configuration files.

And that’s important because engineering time isn’t cheap.

According to the CTO of Railway customer G2X, services that take a week to configure on other platforms can be set up within a day. Obviously, that’s not a universal benchmark, just one anecdote. But if a company is repeatedly saving days across dozens of services, the math becomes interesting pretty quickly.

That could mean a faster time to customer for a startup. As an established company, this could mean testing an idea without investing weeks in infrastructure.

For more examples, Railway publishes a customer stories page.

The problem with cloud infrastructure is that you can end up with an impressive collection of tools just to maintain one application.

There is a tool that handles containers. Another is responsible for orchestration. Networking is managed by another. Monitoring and logging are handled by another. Then there’s infrastructure-as-code, deployment management, environments, databases, and anything else the team decides is necessary.

In addition to its own learning curve, billing model, documentation, dashboard, and potential failure points, each tool has its own features. Thankfully, Railway attempts to consolidate that.

The company positions its platform as an alternative to tools and services including Docker, Helm, Heroku, DigitalOcean, Kubernetes, Nginx, Datadog, and Terraform. That doesn’t mean a business will magically uninstall everything else after signing up. In some cases, companies have legitimate reasons to keep specialized tools.

But if Railway can replace even a few pieces of the stack, this would be beneficial. There are fewer vendors. Less dashboards. Configuration is simpler. And fewer places to break.

Additionally, it can reduce the amount of specialized infrastructure knowledge that a company has to maintain. Startups don’t always need a dedicated platform engineer to make sure their first production environment runs smoothly.

Networking That Works From the First Deploy

As simple as networking seems, it takes some effort to make it work. For example, there are private connections between services, public endpoints, SSL certificates, load balancing, and service discovery.

Suddenly, “just deploy the app” has turned into an afternoon of troubleshooting.

Railway handles much of that automatically. By default, the platform’s internal networking is private, and it supports HTTP, TCP, gRPC, and WebSockets. To connect services, there’s no need to configure a virtual private cloud. This can mean fewer chances for businesses to expose something they shouldn’t, and less time spent figuring out why two services are not communicating.

Further, among the areas where Railway eliminated complexity, the G2X CTO cited networking as an example, noting that you only need basic TCP knowledge to work with it. Again, individual experiences may differ. However, eliminating boring infrastructure problems is kind of the point.

Scaling Without a Rewrite

Almost every software company faces two infrastructure nightmares. The first is running out of capacity when traffic suddenly spikes. The second is paying for a mountain of capacity that sits there doing nothing most of the time.

Thankfully, Railway addresses both.

In addition to increasing CPU and memory, teams can add replicas with load balancing and deploy applications closer to users. Additionally, the same platform can support a variety of projects from early prototypes to large-scale deployments. That matters because nobody wants to discover that the architecture supporting their successful product needs to be completely rebuilt because the company accidentally became successful.

One example is Bilt, a company that offers rent and rewards. The company’s tech lead reported high traffic on rent day while maintaining response times under 50 milliseconds. That’s the kind of traffic spike that turns infrastructure into a business issue instead of a technical footnote.

Whether the problem was caused by the cloud provider or not, customers will not care if the application goes down when they need it most. They’ll just see a broken application.

Visibility Across the Whole System

One of Railway’s more interesting features is its visual approach to infrastructure.

As opposed to forcing developers to mentally reconstruct the architecture from configuration files and dashboards, Railway displays the infrastructure visually. From there, you can edit settings directly. This may seem like a convenience feature, but it has a business benefit as well.

Easy-to-see infrastructure is easier to understand. It’s easier for a new developer to get oriented. Or a non-specialist to follow a conversation about how the system works. And, as one developer noted, simply showing someone the setup can communicate the architecture without requiring a lengthy explanation.

It’s useful because every company has someone who “knows how everything works.” And then that person takes a vacation. Or quits. Or has a medical emergency.

Remember, a successful infrastructure strategy isn’t reliant on one employee knowing which mysterious server does which task.

Built-In Monitoring and Alerts

Monitoring is another thing that companies appreciate immediately after they don’t have it.

It’s funny how an outage makes observability seem more important. As part of the platform, Railway includes logs, metrics, and alerts. When specified conditions are met, teams can create dashboards, monitor resource usage, and send alerts via Slack, Discord, or email.

Additionally, developers do not need to bounce between multiple monitoring tools to access logs. The business benefit is pretty straightforward: Find problems faster. When downtime occurs, sales can be lost, customers can be frustrated, support tickets can be raised, and the team must figure out what went wrong to restore service.

Ideally, the problem should be discovered before customers become aware of it. But Railway maintains a public status page which users can use to view platform status. Because, yes, even the platform monitoring your infrastructure needs monitoring.

A Workflow Designed to Reduce Risk

Railway isn’t only trying to make infrastructure easier. As well as reducing pain in software development, it’s also trying to make the process more efficient.

By supporting unlimited environments, developers, testers, and other stakeholders can work together without constantly stepping on each other’s toes. When developers submit pull requests, they can see how the code looks in a preview environment before merging it into production. And if a deployment runs sideways, Railway allows users to roll back to a previous version with a click.

That’s more significant than it sounds.

In general, the easier it is to reverse a release, the less scary it is to release something. By making smaller changes more frequently and observing customer responses, teams can avoid major deployments. That creates a better feedback loop. Ship. Learn. Adjust. Ship again.

It’s usually better to do that than to spend three months building the “perfect” release only to discover that customers wanted something else entirely.

Cost Control

Until the cloud bill arrives, nobody is particularly excited about this part.

In terms of efficiency, cloud infrastructure can be extremely useful. Additionally, it can produce bills that make the engineering team’s work seem very interesting to a CFO.

Railway uses usage-based pricing, but one feature that has received positive attention from users is the ability to establish hard spending limits. In fact, one developer said he had never seen such a capability before. However, that does not guarantee Railway will always be the cheapest option. To compare costs at their actual scale, businesses should continue to model their expected usage.

However, Railway provides current pricing information on its pricing page. And that’s important when predictability is almost as valuable as a low price when spending is limited.

Flexibility for Real-World Business Needs

Some companies don’t want to subscribe to every SaaS they use. Sometimes it’s easier, cheaper, or more private to self-host a tool. Railway’s template library makes that relatively straightforward.

In one case, the deployment of a self-hosted analytics tool took about a minute. Similarly, Mappa’s CTO said the platform makes spinning up self-hosted tools nearly effortless while providing immediate visibility.

That lowers the cost of experimentation. Want to try a tool? Deploy it. Don’t like it? Delete it.

You don’t have to turn every experiment into a six-month infrastructure project. For larger organizations, Railway also offers an enterprise tier, a trust center, and legal documentation such as a data processing agreement.

Those are the sorts of things procurement, security, and legal teams eventually ask about once a company gets past the “three developers and a dream” stage. Among Railway’s customers are TripAdvisor, Cognizant, Mercado Libre, and Automattic. Additionally, the platform is used by more than two million developers.

There’s even a Railway mobile app for managing services away from a desktop. As it turns out, we’re now getting to a point where even infrastructure needs to be mobile-friendly.

Who Benefits Most?

Railway isn’t necessarily aimed at one specific type of company. In addition to enabling startups to move quickly, it also helps them avoid hiring infrastructure specialists before they need them.

For instance, a small or medium business can purchase production infrastructure without having to build a large operations department. For individual clients, features, or projects, agencies and product teams can create isolated environments. Despite maintaining consistent platforms and centralized visibility, larger companies can give individual development teams more autonomy.

The common thread? There’s more to gain for companies that allocate engineering resources to their products rather than managing infrastructure.

A Balanced View

No cloud platform will be the right fit for everyone, of course. Before moving anything, companies with highly specialized infrastructure requirements, stringent regional or regulatory requirements, or significant investments in another cloud provider should do their homework.

Price should be part of that homework, too. For a small application, a platform can appear inexpensive, but at a larger scale, it can be extremely expensive. The good news is that Railway provides comparison material for alternatives including Heroku, Render, Fly.io, and Vercel. Consider those comparisons, as well as independent reviews and your own projected usage.

Another caveat is that Railway carefully selects and publishes its customer testimonials. Although they’re useful examples, they’re still marketing materials. So, always do your own testing before betting the business on anything.

The Bottom Line

Servers aren’t the main argument for Railway. It’s about what servers allow a company to do.

Having more time to develop a product means less time spent configuring infrastructure, debugging networking, monitoring five different systems, and worrying about exploding deployments. That’s the real potential value.

With Railway, you can deploy, scale, monitor, and roll back across deployments, environments, and rollbacks from one platform. Depending on the business, that might mean fewer tools, less headaches with infrastructure, faster releases, and potentially lower operating costs.

It’s not magic. And it’s certainly not a reason to stop evaluating alternatives. But if you’re having problems running your software, Railway might be worth a try. After all, your developers are unlikely to spend the entire week configuring servers. They signed up to build something people actually want to use.

You can deploy a first project on Railway or explore the platform before deciding whether it belongs in your stack.