Uptime is not a marketing metric for us. It is an engineering constraint that shapes every decision we make. When your entire business operates on a single platform, downtime is not an inconvenience. It is a full stop. That responsibility is something we take seriously, and it is reflected in every layer of the KamoCRM architecture, from the database to the load balancer.

At the foundation, we run CockroachDB as our primary data store. CockroachDB is a distributed SQL database that replicates data across multiple nodes with automatic failover. If a node goes down, the cluster continues operating without data loss or manual intervention. On top of that, our application layer consists of over 30 stateless microservices running on Kubernetes via RKE2. Because each service is stateless, any instance can be replaced or scaled without affecting the others.

Real-time communication adds another layer of complexity. Video conferencing, messaging, and phone calls all require persistent connections and low latency. We handle this with Janus WebRTC for media and NATS JetStream for message brokering, both deployed in highly available configurations across our cluster. Even our file storage layer, powered by MinIO, is configured with erasure coding for data durability.

The result is a system where no single component is a point of failure. We deploy updates multiple times per day using rolling deployments that ensure zero downtime. Our monitoring stack tracks thousands of metrics in real time, and our on-call engineering team is alerted within seconds of any anomaly. This is the engineering behind the 99.9% uptime number, and we are continually pushing to make it even better.