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This article demonstrates how to use the Kubernetes Java client to retrieve metrics, manage resources, work with custom resource definitions, and operate both typed and untyped APIs, providing code examples for creating, listing, updating, deleting, and watching Kubernetes objects.
Kubernetes 1.30 introduces the recursiveReadOnly mount option, turning previously imperfect read‑only volume mounts into fully recursive read‑only mounts, while explaining compatibility requirements, required component versions, and usage examples with YAML manifests.
This article introduces Knative Eventing concepts and core components, then demonstrates three practical usage patterns—Source‑to‑Sink, Channel and Subscription, and Broker and Trigger—through step‑by‑step examples, Kubernetes manifests, and command‑line operations, highlighting event flow, filtering, and reply handling.
This article provides a comprehensive guide to Kubernetes Service networking, covering container network models, intra‑ and inter‑node pod communication, Service‑Pod relationships, Service types (ClusterIP, NodePort, LoadBalancer, ExternalName), CoreDNS resolution, kube‑proxy operating modes, source IP preservation strategies, and Ingress handling.
The article examines how CMDB can be combined with cloud‑native container architectures by leveraging Kubernetes init containers, lifecycle hooks (PostStart and PreStop), and an event‑monitoring‑to‑MQ pipeline, discussing the technical rationale, implementation details, advantages, and challenges of each approach.
This article analyzes Kubernetes security threats from cloud, cluster, and container perspectives, enumerates high‑risk permissions, default privileged accounts, and insecure configurations, and provides concrete hardening steps such as least‑privilege RAM policies, etcd encryption, RBAC tightening, and workload isolation measures.
This article explains how to build a Spring Boot‑based service registry that replicates Nacos' core features—service discovery, health‑checking, and dynamic configuration management—by creating server‑side registration APIs, scheduled heartbeat checks, client registration logic, and database‑backed configuration storage.
This article explains the new sidecar feature in Kubernetes 1.28 that adds a restartPolicy field to init containers, describes its behavior, provides usage examples, discusses when to adopt it, outlines migration steps, lists known issues, and invites community feedback.
This article explains the core functions of the Kubernetes Deployment controller, describes how rolling updates and canary releases work, provides a sample Deployment YAML, and demonstrates common kubectl commands for inspecting, updating, and rolling back deployments in a cloud‑native environment.
This article explains how to use a Dockerfile to customize Docker images, covering the purpose of each instruction such as FROM, RUN, COPY, ADD, CMD, ENTRYPOINT, ENV, VOLUME, EXPOSE, and WORKDIR, and provides practical examples and best‑practice tips for building efficient, minimal images.
Didi’s ride‑hailing R&D team addresses efficiency and stability challenges of a large micro‑service ecosystem by unifying a Go stack, common framework, and data models, using eBPF traffic recording for automated regression testing, and applying AIOps alert filtering, knowledge‑graph root‑cause analysis, and a localization robot for rapid fault recovery, while targeting full CI/CD automation with static analysis, service‑mesh observability, and chaos engineering.
This article summarizes a speaker’s insights from GOPS 2023 on the challenges of large‑scale container cloud operations and presents a comprehensive intelligent‑ops framework—including health scoring, automated pod anomaly detection, smart scaling, and multi‑center disaster recovery—to improve visibility, efficiency, and reliability in Kubernetes environments.
To enable Bilibili’s cloud‑native migration, the team built a RemoteStateBackend that moves Flink’s keyed state to the Taishan KV store, using deterministic KeyGroup placement, per‑shard snapshots, asynchronous write batching, off‑heap caching with Bloom‑filter filtering, and a fixed‑size memory model, which together reduce checkpoint overhead, improve disk utilization, and accelerate rescaling for more than one hundred production jobs.
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.
This article explains the concepts, architecture, configuration, and practical use cases of Kubernetes volume snapshots, including how to define snapshot classes, create snapshots, clone PVCs, and perform consistent backups across different storage providers and clusters.
This article explains the architecture of Prometheus V2, detailing its on‑disk block layout, chunk and index formats, the inverted index mechanism, and how queries locate and retrieve time‑series data, while also covering in‑memory structures and practical usage patterns.
The article chronicles Ximalaya's journey from early Docker-based Java project templates to a mature Kubernetes-driven container platform, detailing development principles, health‑check strategies, deployment workflows, middleware integration, and lessons learned about scaling, automation, and collaborative engineering.
KubeAI, GetApp’s cloud‑native AI platform, unifies data set management, notebook‑based and task‑driven model training, automated versioning and deployment, and workflow orchestration, delivering up to 65% faster model iteration and up to 90% lower resource costs for AI teams.
This article explains the key components of the Kubernetes master control plane, the mechanisms of Replication Controllers and ReplicaSets, and the role of kube-proxy in providing service IPs and load balancing across the cluster.
This guide details how to install and configure an NFS server, set up dynamic PersistentVolume provisioning using an NFS StorageClass, and deploy a Redis workload on Kubernetes with appropriate ConfigMaps, PVCs, and Deployment specifications.