Do not index
Do not index
I’ve been working on agent swarms, building one I call PailSwarm. It started as a project using the Agency Swarm framework, but as I moved it into production, I ran into challenges with longer-running agents.
The Challenges
The first issue was processing time. Some tasks took longer than Cloud Run’s limits, causing timeouts. I tried async threading and having bots post updates in Slack threads, but it didn’t solve the problem for the tasks I needed to handle.
The second issue was cold starts. After being idle, my bot took too long to spin back up. Cloud Run offers the option to keep the CPU always allocated, but this gets expensive for smaller projects.
Why Fly.io
I switched to Fly.io. It allows me to set a minimum of one machine running, which avoids cold starts. Fly.io only charges for usage, so I don’t pay for idle CPU time even when the machine stays live.
The setup was simple, and it’s been faster and more reliable than Cloud Run. Tasks that used to take minutes now execute in seconds. I’ve had PailSwarm running on Fly.io for over a month. My first bill was just under $12, which outweighs the time saved and the benefits from the swarm.
Lessons Learned
Fly.io has been a good solution for hosting my swarm. Keeping one machine live ensures everything runs without timeouts or delays. For anyone working with agent swarms or similar workloads, the right hosting setup can save time, reduce costs, and simplify operations.
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