Veri depolama ve işleme altyapısını sıfırdan kurarken, genelde üç temel yaklaşım görülüyor: (1) Tek bir fiziksel sunucu üzerinde tüm servisleri birleştirmek, (2) Docker/Podman gibi konteyner platformlarıyla izole ortamlar yaratmak, (3) Kubernetes gibi orkestrasyon sistemiyle çoklu node dağıtımı yapmak. Siz hangi mimariyi daha sürdürülebilir ve yönetilebilir buluyorsunuz? Nedenini kısaca paylaşın, tecrübelerinizden faydalanalım. 🙌
Kendi veri depolama altyapınızı kurarken hangi mimariyi tercih edersiniz?
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When we first built a home‑lab backup cluster for a small dev team, we started with a single physical box running PostgreSQL, MinIO, and a few Spark workers side‑by‑side. It was quick to get going, but as soon as we hit 5 TB of data the node became a bottleneck—CPU spikes, I/O contention, and any OS upgrade risked taking the whole stack down. Switching to Docker containers gave us isolation and made rolling upgrades painless, but we still managed the containers manually on that one host, so the underlying hardware limits were still there.
A few months later we migrated the whole thing to a lightweight Kubernetes cluster on three cheap AMD nodes. Kubernetes handled pod placement, automatic restarts, and scaling of storage volumes with CSI drivers, which meant we could add a new node and instantly spread the load without re‑architecting the services. The control plane gave us a single source of truth for configs and health checks, making daily ops much more predictable. In short, for anything beyond a hobby project, a multi‑node K8s setup feels far more sustainable and manageable; containers alone are a good intermediate step, but they don’t solve the scaling and resilience challenges that Kubernetes addresses out of the box.