What's your setup for managing more than 5 servers?

That feeling of SSH-ing into each box, one by one, to check a log or restart a service really starts to grind you down around the 5-7 server mark. I remember hitting that exact wall when our first product started gaining traction and we had to scale out a few more API instances and a dedicated queue worker machine. The manual toil quickly overshadowed actual development work.

For us, the shift really began with proper configuration management and Infrastructure as Code. We leaned heavily on Ansible for pushing out base configurations, managing users, installing Docker, and deploying application artifacts across a cluster of VMs. This allowed us to define the desired state of each server declaratively. Paired with Terraform for provisioning the cloud instances themselves, we could spin up or tear down environments with consistency, rather than relying on click-ops or custom scripts that inevitably drifted.

Beyond just server setup, workload orchestration became critical. For containerized applications, Kubernetes quickly became the standard for managing anything beyond a few tightly coupled services. It handles the scheduling, self-healing, and scaling of containers across the underlying machines, abstracting away a lot of the ‘per-server’ management. Even with Kubernetes, you still need robust observability — centralized logging, metrics via Prometheus, and dashboards in Grafana become absolutely essential to understand what’s happening across your fleet without needing to log into individual nodes.