This step‑by‑step guide walks you through the fundamentals of Kubernetes Operators, explains CRDs, webhooks and controllers, and demonstrates how to use Kubebuilder to create, configure, and deploy a SidecarSet that injects sidecar containers into Pods, complete with code snippets and diagrams.
This article explains what Kubernetes Operators are, how they extend the controller pattern to encode software‑specific knowledge, illustrates practical examples, examines resource consumption and scaling of operators, and discusses their suitability for serverless models within cloud‑native environments.
This article explains how Kubernetes transforms from a container orchestrator into a declarative, cloud‑native operating system, showing beginner‑friendly examples, the benefits of YAML‑based deployments, operators, and how it simplifies software delivery compared to traditional Linux VM workflows.
This guide explains how to use the Open Application Model (OAM) to classify services, write OAM definitions with JSON Schema, implement an OAM operator, and uniformly expose and consume cloud resources across platforms, illustrated with Kubernetes examples and code snippets.
This article explains Alibaba's large‑scale Kubernetes experience, outlines the two main challenges of application management for developers and operators, and shows how the Open Application Model (OAM) uses Components, Traits and Application Config to provide a layered, extensible, and cloud‑native solution.
Ant Financial’s article details how its large‑scale Kubernetes management system—built on a meta‑cluster, end‑state operators, and a Kube‑on‑Kube design—ensures reliable creation, upgrade, and self‑healing of thousands of nodes, while providing gray‑scale changes, risk assessment, and fault‑tolerant automation.
This tutorial walks through installing Rook as a cloud‑native storage orchestrator on Kubernetes, deploying the Rook operator, creating a CephCluster CRD, verifying OSD and monitor pods, setting up the Rook toolbox, exposing the Ceph dashboard via a NodePort service, and configuring monitoring and access credentials.
In an interview, Alibaba technical expert Sun Jianbo explains the inherent complexity of Kubernetes, the challenges of managing stateful applications and Operators, and how Alibaba’s large‑scale practice, a four‑layer delivery model, and the Open Application Model (OAM) provide concrete solutions for cloud‑native application management.
This article explains the controller pattern and declarative API in Kubernetes, dives deep into Kubebuilder's architecture—including GVK/GVR, Scheme, Manager, Cache, and Controller components—and provides step‑by‑step guidance with code examples for creating, configuring, and deploying custom resources and their controllers.
This article explains how UCloud’s KUN platform leverages Kubernetes Operators to simplify deployment and management of stateful distributed services like Redis, covering Operator fundamentals, design choices, Redis Operator features, scope handling, persistence, monitoring, and the overall benefits for DevOps efficiency.
Ant Financial’s Kubernetes team built one of the world’s largest clusters—hundreds of thousands of nodes—by applying cloud‑native operators, GitOps, and extensive performance optimizations to achieve rapid, automated, and reliable large‑scale workloads during the 2019 Tmall 618 promotion.
This article explains the internal architecture of Spark Operator, covering Kubernetes operator fundamentals, CRD definitions, code layout, job submission flow, state machine handling, monitoring integration, and troubleshooting techniques for reliable Spark workloads on Kubernetes.
This article explains why Kubernetes should be seen as a next‑generation operating system, walks through a simple nginx deployment using declarative YAML, introduces the concepts of CRDs, custom controllers and Operators, and shows how to create and manage resources such as etcd clusters and virtual machines within Kubernetes.
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.
Ant Financial tackles the challenge of managing dozens of Kubernetes clusters and over a hundred thousand worker nodes by employing a meta‑cluster with Kube‑on‑Kube and Node Operators, enabling automated lifecycle management, scaling, upgrades, and fault recovery for both master components and worker nodes.
