OpenAI’s engineering team details how they expanded a Kubernetes cluster to 7,500 nodes to support massive models like GPT‑3, CLIP, and DALL·E, describing workload characteristics, networking redesign, API server pressure, monitoring, health checks, resource quotas, and the remaining open problems.
WebAssembly is moving beyond browsers into server‑side workloads, offering a portable binary format, promising performance, and new security considerations, while integrating with containers and Kubernetes through WASI, making it a compelling technology for modern backend development.
The Taobao Open Platform adopts a cloud‑native, multi‑tenant architecture that abstracts infrastructure, isolates tenants via independent or shared switch‑plus‑security‑group schemes with dual ENI pod networking, and leverages Kubernetes auto‑scaling to simplify onboarding, cut operational costs, and enable future low‑code and FaaS extensions.
This article examines how Mercedes‑Benz Tech Innovation expanded its Kubernetes management to public clouds using Cluster API, achieving automated cluster creation, faster rolling upgrades, self‑service capabilities, and a ten‑fold increase in managed clusters while maintaining high availability.
By configuring Nginx as a caching gateway within a Kubernetes cluster, this article shows how to dramatically reduce read latency to third‑party services, achieve high cache hit rates, ensure availability during outages, and handle cache persistence across pods using S3‑backed storage.
This article presents a step‑by‑step guide on how the logistics provider Haicheng Bangda implemented a streaming data warehouse using Paimon, Flink CDC, and Kubernetes, covering business background, architecture choices, environment setup, SQL examples, troubleshooting tips, and future roadmap for their digital transformation.
Starting with Kubernetes v1.24 the built‑in dockershim is removed, requiring users to switch to a CRI‑compatible runtime such as containerd or CRI‑O—or install cri‑dockerd for Docker compatibility—while updating scripts, logs, and tooling, and using crictl or ctr for debugging and managing containers and pods.
This article evaluates the impact of three microservice communication styles—REST, gRPC, and asynchronous messaging via RabbitMQ—on functional and non‑functional software quality attributes, presenting experimental results from a Kubernetes‑based order‑processing scenario that show gRPC delivering the best performance across varying loads.
This article reviews ten popular Kubernetes monitoring tools—including Helios, Prometheus, New Relic, Grafana, DataDog, Sysdig, Zabbix, AppDynamics, Dynatrace, and Sensu—detailing their key features and how they help improve performance, reliability, and observability of containerized applications.
This article examines the shortcomings of traditional host‑based deployments, explains the GitOps methodology with declarative configuration and automation tools, and details a real‑world implementation at NetEase Cloud Music using Horizon CD, Argo CD, and Helm to achieve scalable, reliable, and version‑controlled cloud‑native releases.
This guide explains what kubectl is, how it interacts with the Kubernetes API server, and provides a categorized list of essential commands for retrieving information, debugging, state management, scaling, deployment, and security, helping users efficiently operate and automate K8s clusters.
This article introduces Alibaba Cloud's PAI‑DLC, a cloud‑native deep learning platform that integrates machine‑learning capabilities, containerized services, AI‑aware scheduling, GPU virtualization, elastic training with EasyScale, data access, and observability, and discusses its architecture, key features, and future directions.
This article recounts a year‑long effort by a senior SRE engineer to redesign a private cloud platform, detailing the motivations, architectural choices, SSO and RBAC implementations, workflow automation, GitOps deployment, release engineering improvements, and the cultural shift toward metrics‑driven development.
This article explains how Alibaba Cloud ACK One enables unified registration and management of Kubernetes clusters across public clouds, private data centers, and edge environments, detailing core features, architecture, security measures, and observability capabilities for seamless multi‑cluster operations.
This tutorial walks you through preparing a VKE cluster, pulling the Langchain‑ChatGLM container image, creating the necessary Deployment and Service resources, and adding a local knowledge base, enabling you to run a Langchain‑based ChatGLM service with GPU support on Volcengine’s cloud‑native platform.
This guide explains how Kubernetes signs container images, how to verify those signatures manually or with sigstore policy‑controller, and how CRI‑O in v1.28 can enforce signature policies natively, including configuration, command‑line usage, and handling of error cases.
KubeCost, developed by NetEase Cloud Music, is a low‑intrusion, scalable Kubernetes cost analysis system that allocates resource expenses using peak‑or‑usage billing models, supports hybrid‑multi‑cloud pricing, aggregates per‑pod CPU/memory/GPU costs, and stores data efficiently in ClickHouse for reliable, business‑oriented financial insight.
This guide explains how to adopt Higress, a high‑performance C++‑based cloud‑native gateway, to replace traditional Java gateways in Spring Cloud ecosystems and demonstrates blue‑green, canary, and A/B testing deployments on Kubernetes using Nacos for service discovery.
KubeSkoop, an open‑source tool from Alibaba Cloud, automates Kubernetes container network diagnosis by building traffic paths, collecting eBPF and IaaS data, and pinpointing root causes for connectivity and jitter issues, supporting major CNI plugins and offering deep network monitoring with Prometheus integration.
This article provides a thorough overview of DevOps fundamentals, differences from Agile, popular tools, lifecycle stages, CI/CD concepts, AWS roles, version control, SSH, Git commands, Jenkins architecture, Ansible, Puppet, Chef, Docker, Kubernetes, and related interview questions to help candidates prepare for DevOps engineering positions.
This article explains why Loki is a lightweight log aggregation solution, outlines its key advantages, describes its architecture and deployment modes, provides step‑by‑step Kubernetes deployment instructions with full configuration examples, and offers practical troubleshooting tips for common issues.
This guide explains how to leverage Alibaba Cloud Container Service ACK's AI suite and DeepSpeed to efficiently run distributed large‑language‑model training on Kubernetes, covering prerequisites, configuration, command‑line deployment, monitoring with TensorBoard, and performance‑optimizing techniques.
This article explains how to create and customize Helm charts by setting replica count ceilings, reusing logic with sub‑templates, and generating properly indented ConfigMaps using toYaml and indent functions, providing practical examples and command‑line snippets for Kubernetes deployments.
This article summarizes Zhang He’s Bilibili SRE talk on building a capacity‑management system that visualizes resource usage, reduces costs, improves stability, and leverages Kubernetes VPA, HPA, pooling, and quota management to support massive live‑stream events and rapid feature releases.
This article explains what a Kubernetes ConfigMap is, when to use it, and provides step‑by‑step instructions with YAML examples for creating a ConfigMap, mounting it in an Nginx deployment, and making the server_name parameter dynamic using pod metadata.
This guide walks through deploying a Bloom 7B1 large language model for distributed inference on Alibaba Cloud Container Service (ACK) using DeepSpeed, Arena, and Kubernetes, covering environment setup, model configuration, service launch, verification, and Ingress exposure.
This guide explains how to deploy large language models on Alibaba Cloud's ACK using KServe for serverless inference, integrates Fluid for distributed data caching to cut cold‑start latency, provides step‑by‑step commands, performance benchmarks, and practical tips for production‑grade AI model serving.
Helm is a Kubernetes package manager that simplifies application deployment by using charts, templates, and versioned releases, offering features such as easy installation, upgrades, rollbacks, dependency management, and integration with CI/CD pipelines, making it a key tool for cloud‑native operations.
This article surveys a curated collection of open‑source Kubernetes utilities—including Helm, Flagger, Kubewatch, Gitkube, kube‑state‑metrics, Kamus, Untrak, Scope, Dashboard, Kops, cAdvisor, Kubespray, K9s, Kubetail, PowerfulSeal and Popeye—detailing their roles in deployment, monitoring, security, and cluster management for modern DevOps workflows.
This article explains why traditional log‑based performance debugging is inefficient, introduces continuous profiling with the open‑source Pyroscope tool, and provides step‑by‑step instructions for installing Pyroscope on Kubernetes, integrating it with Python, .NET, and Go microservices, and visualizing low‑overhead flame graphs to optimize code and reduce cloud costs.
This article introduces Kubernetes, explaining its role as a container orchestration system, when it’s beneficial, how to choose an environment, manage resources with kubectl, YAML, or graphical tools, and details the control‑plane and worker‑node components that enable automated deployment, scaling, and monitoring.
This article examines how the open‑source Kubernetes project orchestrates its software releases by detailing the community’s SIG‑Town structure, the Kubernetes Enhancement Proposal (KEP) workflow, the roles of SIG‑Release and release teams, and the typical three‑month release cadence, while also discussing the broader challenges of open‑source collaboration.
This article examines the role of service registry centers in microservice architectures, compares Zookeeper, Eureka, Nacos, Consul, and Kubernetes, discusses load‑balancing strategies, and provides guidance on selecting the most suitable registry solution based on availability, consistency, and ecosystem fit.
This article explains how Kubernetes resource limits function, how to interpret CPU limits as time slices, the Linux accounting system behind them, relevant Prometheus metrics for detecting throttling, practical examples with multithreaded containers, and guidance on setting alerts and avoiding performance pitfalls.
This article explains how Higress replaces Nginx Ingress, Spring Cloud Gateway, Kong, and Istio Ingress Gateway with a single, high‑performance, cloud‑native ingress that reduces maintenance cost, improves traffic management, and integrates seamlessly with Kubernetes and service‑mesh APIs.
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.
This article details how HuoLala tackled cache bottlenecks by evolving from single‑node master‑slave setups to Redis Cluster and a custom DataMesh sidecar, achieving sub‑2 ms latency, 99.999% availability, automated scaling, and advanced data governance on Kubernetes.
This article explores the limitations of a Prometheus‑based monitoring stack and demonstrates how adopting a Thanos‑based architecture improves metric retention, enables multi‑cluster querying, and reduces overall infrastructure costs while providing a scalable, cloud‑native solution.
This article demonstrates how to achieve zero‑downtime releases for SpringBoot applications on Kubernetes by configuring readiness/liveness probes, rolling update strategies, graceful shutdown hooks, horizontal pod autoscaling, Prometheus monitoring, and externalized configuration via ConfigMaps.
Learn how to deploy your own Stable Diffusion text‑to‑image model on Volcengine Cloud by setting up a VKE Kubernetes cluster, configuring storage, GPU resources, container images, and exposing the service via ALB or API Gateway, while leveraging mGPU sharing and serverless GPU options.
This article explains GitOps as an automated, Git‑centric approach to managing cloud‑native infrastructure using IaC, pull requests, and CI/CD pipelines, detailing how it works, its components, deployment strategies, and the operational advantages it brings to modern software delivery.
This article explains how to use Kubernetes labels, namespaces, and services—covering label creation and selection, namespace management commands, and service concepts—to help practitioners efficiently organize and expose container workloads within a cluster.
This article explains how Shuhe Technology leveraged Alibaba Cloud's Serverless Kubernetes (ASK) and Knative to deploy, scale, and monitor over 500 AI model services—including Stable Diffusion—achieving 60% cost savings, zero‑to‑scale elasticity, and rapid deployment cycles.
This article explains how the Elastic File Client (EFC) and Fluid together provide a cloud‑native, high‑performance storage solution for AI and big‑data workloads on Kubernetes, detailing architecture challenges, core features, performance benchmarks, and a step‑by‑step deployment guide.
This article explains how Koordinator introduces application‑aware QoS classes and flexible CPU binding policies to mitigate the Noisy Neighbor problem in mixed online/offline workloads on Kubernetes clusters, and validates the approach with performance tests on Nginx using wrk.
Robusta KRR is a local CLI tool that gathers pod metrics from Prometheus, recommends CPU and memory requests and limits, supports custom strategies, and can be installed via Homebrew or source, helping Kubernetes clusters cut up to 69% of cloud costs.
This article explains how Apache Spark can be deployed using the traditional Hadoop YARN resource manager and the newer Kubernetes approach, detailing configuration steps, submission methods, and a comprehensive comparison of isolation, scalability, learning curve, logging, performance, and cost considerations.
This article provides a detailed overview of Calico's essential and optional components, explaining how each part—such as the API server, Felix, BIRD, confd, Dikastes, CNI plugin, datastore plugin, IPAM plugin, kube‑controllers, Typha, and calicoctl—contributes to networking and network policy enforcement in Kubernetes clusters.
This article explains the fundamentals of Kubernetes networking, describes its flat network architecture, reviews common CNI implementations such as Flannel, Project Calico, and Weave Net, and details the various communication pathways including container‑to‑container, pod‑to‑pod, pod‑to‑service, and internet‑to‑service.
ByConity is a cloud‑native, storage‑compute separated data warehouse engine that supports multi‑tenant isolation, high performance, and elastic scaling; this guide explains its three‑layer architecture, hardware requirements, Helm‑based Kubernetes deployment, dynamic scaling, and practical SQL testing steps.
This article details WeChat’s Gemini‑2.0 real‑time streaming platform built on Flink, explaining two key stability enhancements: a TaskManager‑level partial failure recovery that avoids data loss during node crashes, and a load‑balancing scheduler that evenly distributes tasks across TaskManagers to improve resource utilization and reduce latency.
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 to boost performance and reliability of third‑party service calls in a Kubernetes cluster by configuring Nginx as a caching gateway, covering cache settings, deployment, persistent shared cache via S3, and the associated limitations.
This article examines the difficulties and key considerations of hybrid‑cloud environments and explains how the Rainbond platform provides unified multi‑cluster orchestration, team workspace isolation, multi‑cloud disaster recovery, and cross‑cloud application deployment to simplify management and operations.
Learn how to efficiently monitor Kubernetes workloads by deploying log agents and using two powerful real‑time log aggregation tools—Kubetail and Stern—including installation steps, usage examples, and detailed command‑line options for filtering, coloring, and exporting logs across multiple pods and containers.
This article explains the principles, common use cases, and data‑sharing techniques of Kubernetes initContainers, compares them with PostStart hooks, and provides complete YAML examples for fetching files before a main container starts and for waiting on dependent services.
This article explains how Helm simplifies Kubernetes deployments by providing a package manager that supports single‑command installation, high configurability, version control, templating, chart repositories, and plugins, and it walks through Helm's workflow, core concepts, usage steps, installation order, and a comprehensive command reference.
Azure Linux is Microsoft’s custom open‑source Linux distribution designed as a lightweight, Azure‑focused container host for AKS, offering optimized performance across cloud and edge, with minimal dependencies and support tailored for Kubernetes workloads.
Higress 1.0, the GA‑ready open‑source cloud‑native gateway, unifies traffic, security and microservice routing on Kubernetes by leveraging Envoy, hot‑update capabilities, extensive service‑discovery, Wasm plugins and Helm deployment, while detailing its evolution, technical advantages, performance benchmarks, and community roadmap.
This technical guide details a real‑world Kubernetes deployment, covering a 10‑node cluster specification, master‑worker architecture, containerized frontend and backend services, MySQL persistence, load‑balancing, step‑by‑step deployment procedures, and monitoring setup.
This article presents practical Kubernetes best‑practice cases—including horizontal autoscaling, service discovery with load‑balancing, and health‑check probes—to help engineers build more reliable, scalable, and self‑healing container deployments.
This guide explains how to use the open‑source Pyroscope continuous profiler on Kubernetes to collect, store, and visualize performance data from microservices written in Go, Python, .NET, and more, enabling developers to pinpoint bottlenecks, reduce CPU and memory usage, and lower cloud costs.
This guide evaluates three Kubernetes context‑switching tools—Kubectx, Kubie, and Kubeswitch—against speed, flexibility, and security criteria, helping developers choose the most efficient solution for managing multiple clusters.
Podman Desktop, sponsored by Red Hat, offers a UI for building, running, and managing containers and local Kubernetes clusters, integrates with OpenShift, supports multiple registries, provides a built‑in terminal, and delivers daemon‑less, non‑privileged operation as a free competitor to Docker Desktop.
To replace wasteful physical‑machine scripts on Baidu’s Aladdin search platform, the team adopted OpenFaaS on a Kubernetes cluster, using its event‑connector, Prometheus‑driven autoscaling, and high‑availability gateway to run synchronous, scheduled, and asynchronous functions, achieving stable deployments with only 14 % CPU and 8 % memory of the original.
Deploy Stable Diffusion on Tencent Cloud by building a Docker image, pushing it to TCR, creating a GPU‑enabled TKE cluster with CFS storage, configuring qGPU sharing, exposing the service via Cloud Native API Gateway, optimizing inference with TACO Kit, storing results in COS, and applying content moderation.
This article details NetEase Media's migration of most Flink jobs to a self‑built real‑time platform on Kubernetes, covering the benefits of K8s isolation, the chosen native deployment mode, performance‑critical optimizations, monitoring, resource‑recommendation, and future directions for cloud‑native streaming workloads.
This guide walks operators and developers through diagnosing and resolving frequent Kubernetes issues such as ImagePullBackOff, CrashLoopBackOff, OOMKilled, BackoffLimitExceeded, and probe failures, providing key kubectl commands, secret handling tips, and best‑practice recommendations to keep clusters stable.
This article explains how Kubernetes ensures each Pod gets a unique IP address by detailing the roles and interactions of Flannel, CNI plugins, the CRI, and the kube‑controller‑manager, and shows the configuration steps needed for container runtimes like containerd.
This article explains Kubernetes QoS classes—Guaranteed, Burstable, and BestEffort—detailing their resource request and limit requirements, how to configure them with YAML examples, the eviction priority order, and practical best‑practice strategies for classifying and scheduling workloads across cluster nodes.
This article chronicles Nubank’s architectural evolution—detailing how strategic technology choices, cloud‑native platforms, micro‑service design, and data‑engineering practices were leveraged across startup, growth, consolidation, and expansion phases to achieve massive scalability and business agility.
This guide explains how to design and deploy a highly available, scalable e‑commerce platform on Kubernetes by containerizing services, planning clusters, configuring replication, load balancing, persistent storage, monitoring, security, CI/CD pipelines, and provides complete YAML examples for frontend, backend, and database components.
This article examines the origins and core challenges of Kubernetes multi‑cluster management, compares four open‑source solutions—KubeFed, Karmada, Open Cluster Management (OCM) and Gardener—by detailing their architectures, application models, scheduling and service discovery mechanisms, and discusses emerging trends such as multi‑tenant isolation, virtual clusters, and stateful‑application migration strategies.
This article explains the motivations behind Kubernetes multi‑cluster deployments, outlines common use cases such as isolation and high‑availability, and analyzes core management elements including deployment models, control‑plane architectures, network connectivity, service discovery, cross‑cluster scheduling, application model extensions, and treating clusters as resources.
Kubernetes 1.27 introduces a beta‑level StatefulSet PVC retention policy that lets users choose when PersistentVolumeClaims created by a StatefulSet are kept or removed, offering four configurable scenarios—Retain or Delete on deletion and scaling—along with practical examples and activation steps.
This article introduces a systematic approach for troubleshooting Kubernetes cluster network anomalies, covering common failure models, essential diagnostic tools such as tcpdump, nsenter, paping and mtr, and detailed case studies that illustrate step‑by‑step resolution of pod connectivity problems.
This article explains how Kubernetes networking components—including Linux Bridge, Flannel's VXLAN, the node IPAM controller, kubelet, container runtimes, and CNI plugins—work together to give every pod a unique IP address and enable inter‑pod communication across nodes.
This article provides a detailed tutorial on designing CI/CD pipelines using Jenkins, GitLab webhooks, and GitOps practices, covering single- and multi-application workflow designs, Jenkinsfile configurations for build, test, SonarQube scanning, Docker image creation, and Kubernetes deployment with Helm.
This article explains the fundamentals of Linux network namespaces and bridge devices, showing how they isolate resources, form hierarchical PID trees, and enable inter‑namespace communication for container platforms like Docker and Kubernetes.
This article explains why microservice architecture is preferred over monolithic applications, outlines a clear learning roadmap, and details essential components such as Docker, container orchestration, API gateways, load balancing, service discovery, event buses, logging, monitoring, distributed tracing, persistence, caching, and cloud providers.
This article explains how Kubernetes CPU requests and limits work, why limits can throttle performance, compares language‑specific behaviors, and presents alternative strategies such as relying on requests with Horizontal Pod Autoscaling for more efficient and cost‑effective scaling.
The article traces the evolution from manual, error‑prone deployments to fully automated DevOps practices, explaining how code‑centric approaches such as Infrastructure as Code, Environment as Code, Orchestration as Code, Document as Code and Pipeline as Code improve productivity, reliability, consistency and platform scalability across cloud‑native environments.
After Kubernetes announced the deprecation of Docker in version 1.24, this article examines several Docker alternatives—containerd, Podman, LXC/LXD, rkt, OpenVZ, Singularity, and CRI‑O—detailing their core features and advantages over Docker for modern cloud‑native environments.
The article traces the evolution from cumbersome manual deployments to modern automated, code‑driven practices such as Infrastructure as Code, Environment as Code, Orchestration as Code, and Pipeline as Code, highlighting tools like Ansible, Terraform, Docker, Kubernetes, and Jenkins to improve productivity, reliability, and scalability in DevOps operations.
This article compares traditional host‑based log collection with Kubernetes container logging, outlines the challenges of dynamic pod migration, diverse storage methods, and metadata injection, and evaluates deployment options such as DaemonSet, Sidecar, and various volume types for reliable log aggregation.
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.
This guide walks through eight frequent Kubernetes networking problems in Tencent Cloud Kubernetes Service—such as cross‑VPC NodePort timeouts, low load‑balancer CPS, DNS resolution delays, apiserver access lag, mis‑configured resolv.conf, liveness‑probe failures, and externalTrafficPolicy = Local timeouts—explaining their root causes and providing concrete kernel, iptables, DNS, and configuration fixes.
This article presents a collection of advanced kubectl techniques—including API inspection, status‑based pod filtering and deletion, node‑specific pod listing, distribution counting, and proxy usage—to help experienced Kubernetes users solve ad‑hoc tasks more efficiently.
This article explains how Kubernetes can be deployed across multiple failure zones and regions, covering control‑plane replication, node labeling, pod topology constraints, storage zone awareness, network considerations, and fault‑recovery strategies to achieve high availability and resilience.
This article explains how to design and implement a lightweight, flexible monitoring solution for big‑data components running on Kubernetes using kube‑prometheus, covering metric exposure methods, scrape configurations, alert rule design, exporter deployment, and practical examples with code snippets.
Apache OpenWhisk is an open‑source, distributed serverless platform that runs functions in Docker containers, supports multiple programming languages, can be deployed on various cloud or on‑premise environments such as Kubernetes, and offers seamless integration with popular services, scalable execution, and resource‑efficient operation.
This article presents a comprehensive translation of a Kong CTO's talk on evolving from monolithic applications to microservices, covering service mesh concepts, Kubernetes, API gateways, latency, observability, and practical migration strategies for modern cloud‑native architectures.
This article shares a collection of practical kubectl commands and tips—including API debugging, pod filtering and deletion, node‑wise pod statistics, and proxy usage—to help Kubernetes users work more efficiently and avoid writing custom client code.
This guide shows how to quickly deploy the open‑source FastChat AI assistant on Alibaba Cloud ASK's serverless Kubernetes platform, covering prerequisites, YAML configuration, GPU handling, verification steps, and three usage scenarios including web UI, API calls, and a VSCode extension.
This article explains how to enable Kubernetes audit logging, analyzes CDK‑based attack behaviors captured in audit logs, provides concrete detection rules for information collection, exploitation, and privilege escalation, and shares practical lessons learned when deploying audit‑driven security in cloud‑native environments.
This guide details KubeVela's three‑year evolution, presents a comprehensive load‑testing history, explains step‑by‑step configuration for high‑performance and robust control planes, describes various optimization techniques such as state‑persistence parallelism, AppKey indexing, informer cache reduction, direct cluster‑gateway connections and controller sharding, and summarizes extensive single‑shard, multi‑shard, multi‑cluster and large‑scale experiments that demonstrate v1.8's superior scalability and stability.
This article explains how JVM heap, metaspace, and other non‑heap memory interact with Kubernetes pod memory requests and limits, demonstrates practical experiments with different heap sizes, and provides guidelines for configuring container‑aware JVM flags and pod resources to prevent crashes and evictions.
This tutorial explains how to gather build data from Jenkins pipelines, store the metrics in InfluxDB deployed on Kubernetes, and visualize the information using Grafana dashboards, providing a complete end‑to‑end solution for continuous delivery measurement and feedback.
This article details Vivo's approach to managing thousands of Kubernetes nodes across multiple data centers by developing a declarative Kubernetes‑Operator, modular Ansible scripts, and a comprehensive CI matrix to automate deployment, scaling, upgrades, and fault recovery while reducing operational risk.
This article explains the core components of Kubernetes architecture—including the control plane (etcd, API server, controller manager, scheduler) and worker node components (kubelet, kube-proxy, container runtimes)—detailing their roles, interactions, and best‑practice considerations for maintaining healthy, scalable clusters.
