What Happened at Fly.io
Over the summer, Fly.io founder Kurt Mackey announced a complete pivot for the company toward "Computers for Agents", which are ephemeral virtual machines (called Sprites) optimized for AI coding workflows. He was refreshingly explicit about what this means: they are not trying to do both traditional application hosting and AI agent compute. They are choosing one over the other.
This is a completely rational bet on the future of developer tooling. It is also an honest signal to any team using or evaluating Fly.io as a Heroku alternative for running long-running, persistent production applications. The platforms that positioned themselves as modern homes for your web apps are moving on to a different market.
At Cloud 66, we understand this strategy. The tech landscape moves fast, and the allure of AI-focused infrastructure is massive. But this shift leaves a gap for teams running classic, reliable production software.
The Gap This Creates
Most production applications are not agent sandboxes. They are persistent, stateful, and serve real human users. They need to be online 24/7, and they rely on predictable database connections, persistent storage, and background workers.
For these systems, day one deployment is the easiest part. The real work begins on day two. Day 2 operations include:
- Keeping managed databases healthy, patched, and backed up.
- Applying host operating system security updates without downtime.
- Scaling servers up or down based on actual traffic, not temporary agent tasks.
- Maintaining precise deployment governance and audit trails.
These operations do not get simpler when AI writes more of your code. In fact, they get harder. A multi-tenant platform designed for disposable compute is fundamentally optimized for a different set of priorities than a platform designed for long-term operational stability. Heroku entering sustaining mode was the first major signal that the PaaS model was fracturing. This pivot from newer alternatives is the second.
What the AI Era Actually Changes for Production Apps
AI-assisted development tools mean that engineering teams are shipping more code, faster, with a much wider surface area. This does not eliminate the need for DevOps. If anything, it escalates it.
When your team (or your AI assistant) can generate features at three times the historical rate, you need stronger deployment governance, not weaker. You need to know exactly what is running, where it is running, and who authorized it. As we wrote in our series on the governance blind spot, the surge in AI-generated code introduces major risks around vendor lock-in and quality control.
Furthermore, as the population of software creators expands, the challenge changes from a speed problem to an operational control problem. In our discussion on the new software creator, we noted that the ultimate bottleneck is no longer writing the syntax, it is managing the application lifecycle over time. Building a quick sandbox is trivial, but keeping that code secure and stable in production for the next three years requires deep infrastructure discipline.
What to Look for in a True Heroku Alternative
If you are a team looking for a stable, long-term home for your applications without hiring a full-time DevOps team, you need to look past the AI agent hype. When evaluating your next deployment platform, ask these five questions:
- Where does your data live? Does the provider require your database traffic to pass through their shared multi-tenant network, or does it stay isolated inside your own cloud account?
- How predictable are the costs? Are you billed per server on a simple subscription, or are you exposed to volatile compute-minute pricing that can spike when background tasks run wild?
- Is there vendor lock-in? If you decide to leave the platform, can you easily take your standard containers and run them elsewhere, or are you tied to proprietary runtimes?
- Who handles Day 2 operations? Does the platform automatically apply security patches to the underlying OS and handle database upgrades, or does it stop at simple deployment scripts?
- Who owns the infrastructure? Do you have raw SSH access to your own servers on AWS, DigitalOcean, or Hetzner, or are you locked out of your own machines?
The Middle Ground: Infrastructure Ownership with PaaS Simplicity
At Cloud 66, we built a platform designed to solve exactly these problems. We have spent over a decade building the middle ground that developers actually need: the complete simplicity of a PaaS, but running on your own cloud accounts.
We support major cloud providers including AWS, GCP, Azure, DigitalOcean, Hetzner, and Vultr. Because we deploy directly to your own infrastructure, your data never passes through our network, and your applications are fully isolated. We act as the ops team you do not have to hire. We handle provisioning, automatic security patching, zero-downtime deployments, database backups, and scaling, while leaving you in complete control.
While other platforms pivot to serve ephemeral AI sandboxes, we remain committed to building and maintaining the unglamorous, highly critical infrastructure tools that keep production web applications running smoothly every single day.