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This guide explains why traditional monitoring falls short in cloud‑native environments and shows step‑by‑step how to install and configure the Prometheus Operator on Kubernetes using Helm, including custom image settings, storage configuration, and verification of the deployed services.
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This guide walks you through the complete process of setting up a production‑grade TiDB 8.4.0 cluster on a self‑managed Kubernetes environment using the latest TiDB Operator, covering environment prerequisites, PV pool initialization, operator installation, CRD creation, and full cluster deployment with detailed commands and configurations.
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This guide walks you through installing the OB‑Operator, preparing Kubernetes prerequisites, deploying the operator and an OceanBase cluster, and verifying the deployment, providing practical commands and configuration examples for a production‑ready setup.
OPPO transformed its sprawling, manually‑provisioned middleware clusters into a cloud‑native, containerized platform by building custom Kubernetes controllers, IP‑preserving StatefulSets, resource‑isolated containers, automated monitoring and self‑healing workflows, enabling rapid provisioning, efficient utilization, fault‑tolerant scaling and future serverless and service‑mesh integration.
Bilibili migrated its Elasticsearch and ClickHouse clusters to Kubernetes using custom operators, CRDs, LVM‑based local storage, MacVLAN networking, and pod anti‑affinity, achieving higher resource utilization, isolation, and automation that cut server count, reduced latency spikes, and lowered operational costs dramatically.
This article introduces ten frequently used Python function‑calling techniques—including built‑ins like filter, eval, exec and utilities from functools and operator—explaining their purpose, typical use cases, and providing clear code examples for each method.
This article explains how Kubernetes CustomResourceDefinitions (CRDs) let users create custom resources, how Operators add behavior to those resources, and provides a step‑by‑step Kubebuilder tutorial for scaffolding, generating, and running a simple Foo operator.
This article introduces Python’s itertools, functools, and operator modules and demonstrates five practical code examples for each, showing how to simplify data iteration, function handling, and operator usage in interface automation tasks.
This article details Tongcheng Travel's cloud‑native migration journey, describing the challenges of resource quota management, component versioning, and operational automation, and explains how a Kubernetes Operator platform built with Go, kubebuilder, and a watch‑broadcast mechanism addresses these issues while outlining future expansion plans.
This article reviews the challenges of deploying applications on Kubernetes, introduces the operator concept as a mainstream solution, explains how to design and implement custom operators for services, and demonstrates these ideas with a detailed Alluxio Operator case study, including maturity levels and future enhancements.
ChaosMeta is an open‑source, cloud‑native chaos engineering platform derived from Ant Group's internal XMonkey system, offering a complete lifecycle solution, risk catalog, and extensive Kubernetes fault‑injection capabilities to help users discover and mitigate potential system risks through automated experiments.
This article explains how Kubernetes uses the List/Watch API and the Informer client library to monitor resources, compares direct HTTP Watch with Informer, provides Go code examples for pod controllers, shared informers, custom CRD controllers, and introduces higher‑level frameworks such as controller‑runtime and Kubebuilder.
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vivo created an Ansible‑based Karmada‑Operator that declaratively manages multi‑cluster deployments, etcd backup/restore, and control‑plane upgrades via custom CRDs and CI pipelines, addressing the limitations of existing tools and providing extensible, reliable, self‑healing orchestration for large‑scale Kubernetes environments.
This article explains what Kubernetes CustomResourceDefinitions (CRDs) and Operators are, shows how they enable custom resources and automated lifecycle management, and presents practical YAML examples and a generic big‑data Operator design for cloud‑native environments.