The article explains the challenges of running stateful applications on Kubernetes—including complexity, vendor lock‑in, elasticity limits, and bloated infrastructure—and presents multi‑cloud, one‑click storage platforms that provide resilient, portable workloads without data loss.
ByteDance’s cloud‑native migration of stateful services uses a custom SolarService extending StatefulSet with Budset CRD to handle versioned data, shard‑aware routing, NUMA‑aware scheduling, advanced storage, eBPF monitoring, and automated PDB eviction, delivering efficiency, cost savings, and reliable rolling upgrades.
This article details ByteDance's journey of migrating stateful services to a cloud‑native Kubernetes platform, covering challenges in state management, infrastructure enhancements, storage solutions, monitoring, and automated operations that together improve efficiency and reduce costs at massive scale.
This guide explains how Kubernetes StatefulSet solves the challenges of deploying stateful applications by providing stable network identities, persistent storage, ordered scaling, and flexible update strategies, and walks through example manifests, creation commands, status inspection, upgrade procedures, and scaling policies.
This guide explains how to run Kafka on Kubernetes, covering runtime resource needs, storage considerations, network requirements, configuration with Pods, StatefulSets, Helm charts and Operators, performance testing, monitoring, logging, health checks, rolling updates, scaling, and backup strategies.
This article explains Alibaba's approach to migrating stateful containers at massive scale, covering the challenges of pod identity, resource duplication, hot versus cold migration, limitations of RunC and CRIU, and the opportunities presented by new container runtimes and process‑level virtualization.
This article traces the rapid rise of Kubernetes Operators from a niche PoC to a de‑facto standard for deploying and managing distributed stateful applications, explains how they extend the controller pattern to provide declarative, dynamic lifecycle management, compares them with StatefulSets, and details the technical evolution from TPR to CRD with concrete code examples.
