003Decentralized Networking
Satori Network
Emergency infrastructure rescue that took a buckling decentralised AI network to 100% uptime.
The problem
Satori's decentralised AI prediction network grew so fast that its central components were going down multiple times a day. They brought us in as emergency consultants to diagnose the failures and chart a way out.
What we built
We worked through it tactically over a couple of weeks. First we added exception and performance monitoring, because you can't fix what you can't measure. Then we dockerised the platform and put it behind a load balancer with horizontally scaled nodes, rewrote and indexed expensive SQL queries, and right-sized provisioning to around 75% CPU and memory. We turned on continuous monitoring with automatic alerting and a commitment to respond within 15 minutes, day or night, then built out a longer-term architectural strategy with scenario planning and drill runs.
The outcome
The network reached 100% uptime shortly after we engaged, with outages cut from multiple per day to zero. We stayed on to implement the long-term architecture and remain on hand if issues come up.
AI woven through
The network itself is a decentralised mesh of nodes (electrons) that contribute AI predictions, which is what we kept online; our work was on the infrastructure beneath it rather than the AI.
“You can't fix what you can't measure.”
Screens
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