This article explains the unique characteristics of Serverless Containers, how they impact Kubernetes architecture, Alibaba Cloud's ECI implementation, the design of Serverless Kubernetes, its limitations, scalability challenges, and the strategies used to address them.
This article explains how OpenYurt, an unobtrusive cloud‑native edge platform, integrates with the CNStack technology hub to deliver high‑availability, offline‑autonomous, and programmable edge services for Longyuan Power’s massive multi‑province server fleet.
This article details how Zhuanzhuan transformed its testing infrastructure from a handful of monolithic servers to a Docker‑driven, tag‑routed dynamic and stable environment, addressing resource shortages, waste, and stability issues while achieving significant reductions in deployment time, resource consumption, and user‑reported problems.
This article explains how Metabit Trading built a cloud‑native quantitative research platform using Fluid and JuiceFSRuntime to achieve elastic compute, high‑throughput data caching, and cost‑effective scaling for AI‑driven trading strategies.
This article details how Zhuanzhuan’s testing environment progressed from a handful of static machines to a Docker‑driven dynamic‑and‑stable architecture, addressing resource shortages, stability issues, and operational inefficiencies through IP routing, tag routing, and extensive automation, ultimately achieving significant reductions in resource usage, deployment time, and user‑reported problems.
This article explains how AppManager, built on OAM and Groovy plug‑ins, provides extensible multi‑cloud management by supporting dynamic component, trait, and workflow integration, automated build‑packaging, resource add‑ons, multi‑environment isolation, and built‑in state monitoring for reliable application delivery.
This article explains how Apache YARN and Google Kubernetes address the three core problems of resource utilization, task responsiveness, and flexible scheduling in distributed environments, detailing their architectures, scheduling models, and practical implications for modern big‑data and cloud workloads.
This article investigates how containers and Kubernetes Pods differ and overlap by examining their underlying Linux namespaces, cgroup hierarchies, and runtime specifications, then demonstrates how to emulate a Pod using only Docker commands and shared resources.
This article explains the evolution from monolithic to microservice architectures, introduces Kubernetes as the core cloud‑native platform, and details its components, design principles, and resource management strategies for compute, networking, and storage within a cluster.
This article details Volcano Engine's edge cloud storage challenges, evaluates multiple storage solutions, and explains how JuiceFS was adopted to simplify workflows, boost read/write performance, and provide a cloud‑native, POSIX‑compatible system for large‑scale edge rendering workloads.
Bilibili extended Kubernetes with a custom in‑place Vertical Pod Autoscaler framework—including generator, recommender, updater, and webhook controllers plus a management platform for strategy tuning, avoidance, analysis, and anomaly detection—reducing over‑provisioned resources across its ten‑thousand‑node private cloud and achieving up to 60 % CPU and 30 % memory savings.
This article explains Docker’s lightweight container engine, its goals, core concepts such as images, containers, and repositories, compares containers to virtual machines, introduces Dockerfile, cgroups, Docker Compose, Docker Machine, and provides an overview of Kubernetes architecture and components, highlighting their role in cloud‑native environments.
This article walks through the design and step‑by‑step deployment of a multi‑tenant, cloud‑native ClickHouse PaaS using Kubernetes Operators and Helm charts, integrates it with Sentry's Snuba event‑analysis engine, and shows how to customize Sentry Helm charts, configure Zookeeper, and verify distributed tables for large‑scale analytics.
This talk explains the challenges of managing applications across fragmented multi‑cloud Kubernetes environments and shows how the Open Application Model (OAM) and Alibaba's AppManager provide a cloud‑native, vendor‑agnostic solution for efficient delivery, governance, and unified control.
This step‑by‑step guide shows how to configure an Alibaba Cloud ACK cluster, install the Higress cloud‑native gateway with Helm, enable Prometheus monitoring via ARMS, and activate the built‑in WAF plugin to block a simulated SQL‑injection request, complete with screenshots and commands.
This article introduces Kubernetes fundamentals through a series of questions and answers, covering its architecture, node communication, pod scheduling, data storage, external access, scaling mechanisms, and component coordination, all illustrated with clear diagrams.
This article explains the concepts of DevOps and CI/CD, describes continuous integration, delivery and deployment, illustrates their relationship, and outlines how enterprises can adopt CI/CD pipelines using tools like Jenkins, Kubernetes, Helm, and Argo CD.
This guide walks you through installing the open‑source SigNoz APM platform on Kubernetes, configuring its components, exploring link tracing with a demo app, and setting up logging and alerting for comprehensive cloud‑native observability.
This article provides a concise, question‑driven overview of Kubernetes, covering its architecture, node and master communication, pod fundamentals, scheduling, storage via etcd, service exposure, scaling mechanisms, and the roles of core components such as kube‑apiserver, kubelet, kube‑proxy and controllers.
This report details Soul's challenges with a multi‑layer gateway chain, evaluates Envoy, MSE and ALB, presents performance test results, outlines short‑term and long‑term migration plans, and shares post‑migration improvements and lessons learned for a cloud‑native gateway solution.
This article explains how machine learning can be applied to automatically optimize CPU and memory settings in Kubernetes clusters, covering both experiment‑driven and observation‑driven approaches, step‑by‑step procedures, best‑practice recommendations, and the benefits of combining both methods for efficient, scalable cloud‑native operations.
This article introduces Kubernetes as a Google‑originated container‑based distributed cluster management system, explaining its architecture, core components such as Master, Nodes, Pods, Services, etcd, and detailing how communication, scheduling, storage, external access, scaling, and controller coordination work together.
This guide walks you through installing and configuring the open‑source Odigos observability control plane on a Kubernetes cluster, showing how to automatically collect traces, metrics, and logs from applications without modifying code and how to visualize the data with Grafana.
This guide showcases advanced kubectl techniques—including printing API details, filtering and deleting pods by status, counting node‑wise pod distribution, and leveraging kubectl proxy—to help Kubernetes users streamline debugging and routine cluster management tasks.
This article explains how a real‑time rule engine and performance‑optimized architecture are used to detect supply‑demand imbalances, enforce mutually exclusive adjustment rules, and efficiently scale capacity management for a nationwide logistics platform.
The article recounts a Kubernetes cluster intrusion where a misconfigured kubelet allowed crypto‑mining, details the forensic steps taken—including empty iptables, kubelet API exposure, and commented‑out settings—and offers concrete hardening recommendations to prevent similar attacks.
This article introduces Rancher as a comprehensive container management platform, explains its API server capabilities, monitoring and alerting features, provides step‑by‑step Docker‑based installation instructions, and demonstrates how to bind a Kubernetes cluster, deploy applications, and view pod logs through the Rancher UI.
This article breaks down the core concepts of Kubernetes—including its master‑worker architecture, pod scheduling, etcd storage, service exposure, scaling mechanisms, and controller interactions—through a series of clear questions and illustrated answers to help beginners grasp the platform’s complexity.
This guide walks you through installing K9s on Windows, Linux, and Docker, explains its core features like XRay, Pulse, and Popeye, and provides essential hot‑key shortcuts for efficient Kubernetes cluster management using a terminal UI.
This article explains how Linux's ulimit and cgroup mechanisms can be used to restrict file descriptors and thread counts in Docker and Kubernetes environments, compares configuration methods, presents experimental results, and offers practical recommendations for setting limits at the container, pod, and host levels.
This article details how long JVM garbage‑collection pauses and glibc ptmalloc memory‑fragmentation caused container OOM kills in a hotel‑pricing system, and explains the step‑by‑step diagnosis, JVM tuning, Kubernetes health‑check adjustments, and the replacement of ptmalloc with jemalloc to eliminate the issue.
This article presents a comprehensive course syllabus covering Docker, Jenkins, and Kubernetes fundamentals, advanced operations topics, IT career development, and provides downloadable teaching materials such as Dockerfiles, Helm charts, and deployment scripts for hands‑on practice.
This article explains why Kubernetes uses Startup, Liveness, and Readiness probes, describes common Pod states and restart policies, compares the probes, details their configuration fields, and provides practical YAML examples for each probe type to ensure reliable container health monitoring.
This article reviews the evolution of file storage, outlines the challenges of the cloud era, and details JuiceFS's design philosophy, architecture, key capabilities, and real‑world use cases such as Kubernetes, AI, big‑data analytics, and NAS migration to the cloud.
This guide provides a comprehensive overview of kubectl, covering its syntax, resource types, common flags, output formats, and dozens of practical command examples for creating, listing, describing, and deleting Kubernetes objects efficiently.
This article describes a cloud‑native CI/CD pipeline built on Kubernetes that leverages Tekton for continuous integration, Argo CD for continuous deployment, and Redmine for project management, detailing system design, task flow, usage steps, and achieved operational benefits.
The article forecasts five key trends for 2023—including cloud cost optimization, multi‑cloud freedom, rapid AI model adoption, expanding data‑sharing ecosystems, and the convergence of data warehouses and lakes—highlighting how they will reshape the big data, artificial intelligence, and cloud landscapes.
This article provides a deep technical walkthrough of Alibaba Cloud's Terway ENI‑Trunking mode, explaining its architecture, pod‑level networking resources, VLAN‑based traffic steering, security‑group handling, and ten concrete SOP scenarios that illustrate how data packets travel between pods, services, and external clients.
This article explains how the open‑source Higress gateway integrates with Nacos, outlines two major microservice‑gateway trends, and provides step‑by‑step configuration examples for service discovery, Ingress routing, canary releases, and custom Wasm extensions.
Sealer 0.9 introduces a cluster‑centric model for building, sharing and running distributed applications, adds Sealer Image types, enriches Kubefile with LABEL, KUBEVERSION, APP, CNI, CSI, APPCMDS and LAUNCH directives, and outlines future roadmap and community resources.
This article explains why Java applications running in Kubernetes containers are often terminated with OOMKilled (exit code 137), analyzes the underlying JVM memory‑limit mismatches, and provides practical solutions using cgroup‑aware JVM flags and memory‑tuning techniques.
This article walks beginners through the fundamentals of DevOps by outlining a practical five‑step process for creating a CI/CD pipeline, covering tools for continuous integration, source control, build automation, web server deployment, test coverage, and optional extensions such as containers and middleware automation.
This article explains how the kubectl top command retrieves real‑time CPU and memory metrics for Kubernetes nodes and pods, details the underlying data flow, metric‑server and cAdvisor architecture, and addresses common issues and calculation differences compared to traditional system tools.
Analyzing a year‑long EDAS report of tens of thousands of cloud‑native applications, this article uncovers trends in JDK version adoption, microservice framework choices, resource shape shifts, instance specifications, JVM heap settings, startup latency, elastic policy usage, and health indicators, offering actionable insights for architects.
This article explains why Java applications running in Kubernetes can encounter Out‑Of‑Memory errors despite heap usage staying under the Xmx limit, by examining container resource limits, JVM memory models, cgroup behavior, and provides practical configuration recommendations to prevent OOM.
This guide explains how to adjust node quotas, kernel parameters, and etcd configurations for large Kubernetes clusters, covering cloud provider limits, GCE and Alibaba Cloud settings, API server tuning, and pod resource best practices to ensure reliable scaling and performance.
This article details the evolution of Ctrip's log infrastructure, describing the shift from fragmented departmental logging to a unified Elasticsearch-based platform, the migration to ClickHouse for cost‑effective, high‑performance storage, and the subsequent Log 3.0 redesign that leverages Kubernetes, sharding, and a unified query governance layer to handle petabyte‑scale data.
The 2022 Kubernetes landscape saw mainstream adoption with widespread managed services, increased edge usage, a thriving open‑source ecosystem, growing interest in stateful workloads, and persistent operational and security challenges, highlighting both the platform's maturity and the work still needed for broader enterprise confidence.
This article chronicles Docker’s rapid ascent, leadership turmoil, competition with Kubernetes, and eventual sale to Mirantis, illustrating how a pioneering container platform became both a catalyst for cloud innovation and a cautionary tale for open‑source startups.
CNStack 2.0 is a cloud‑native PaaS platform built on Kubernetes that unifies resource and workload management, offering agile, open, and secure multi‑cluster capabilities through modular cloud services, a unified API gateway, and integration with open‑source projects such as Sealer, Emissary‑Ingress, cert‑manager, Velero, and OCM.
This guide shows how to check certificate expiration in a Kubernetes cluster, renew all certificates using kubeadm, and verify the renewal, helping you resolve the “certificate has expired or is not yet valid” error.
Koordinator v1.1 introduces load‑aware scheduling with workload‑type awareness, percentile‑based resource aggregation, cgroup v2 support, a new LowNodeLoad descheduler plugin for load‑aware rebalancing, expanded performance collectors, ServiceMonitor integration, and detailed configuration examples, aiming to improve latency‑sensitive workloads and overall cluster resource efficiency.
This tutorial explains what Helm is, how to create and customize Helm charts, and demonstrates practical commands for installing, upgrading, rolling back, and uninstalling applications on Kubernetes, highlighting Helm's benefits for simplifying deployments, version control, and CI/CD workflows.
This guide explains how to route outbound container traffic through a centralized external gateway using Kube-OVN by defining a Subnet resource with specific routing and policy settings, and clarifies each required field for proper configuration.
This article explains how Alibaba Cloud's Serverless Application Engine (SAE) leverages the open‑source KubeVela Workflow to overcome operational, scaling, and integration challenges, detailing the workflow design, step definitions, and three real‑world use cases that illustrate automated ops, release optimization, and rapid feature rollout.
This article explains how to design and implement a Prometheus‑based monitoring solution for big‑data components running on Kubernetes, covering metric exposure methods, scrape configurations, alerting architecture, exporter development, and practical code examples for a production‑ready setup.
The Shopee Data Infra talk details the current storage architecture, Presto‑based acceleration with Alluxio caching, service‑oriented storage solutions using Alluxio Fuse and S3 APIs, and outlines future enhancements for Spark/Hive integration and CSI/Fuse optimizations, providing a comprehensive view of large‑scale big data storage engineering.
Zhihu’s real‑time computing platform, initially built as Skytree 1.0 on Kubernetes and later re‑engineered as Mipha 2.0 with Flink SQL, unified metadata management, dynamic jar loading, UDF support, Protobuf format, CDC integration, and extensive operational optimizations, now processes petabyte‑scale data with high reliability.
This article reviews the evolution of file storage, outlines challenges of cloud‑native data management, and details JuiceFS’s cloud‑native design philosophy, architecture, and key use cases such as Kubernetes, AI, and big‑data workloads.
This article introduces seven popular Kubernetes management solutions—including K9s, Rancher, the native Dashboard with Kubectl and Kubeadm, Helm, KubeSpray, Kontena Lens, and WKSctl—detailing their key features, usage scenarios, and how they help streamline cluster monitoring, deployment, scaling, and security across cloud‑native environments.
This article details eBay's event platform architecture, explaining why a dedicated event system is needed, how ClickHouse provides high‑performance storage, the use of Kubernetes CRDs for cross‑region high availability, data routing, read/write separation, and query optimizations with LogQL.
This comprehensive guide covers kubectl autocomplete, context configuration, object creation, resource viewing, updating, patching, editing, scaling, deletion, pod and node interaction, as well as the versatile kubectl set commands, formatted output options, and visual references for effective Kubernetes cluster management.
This article explains how to define Kubernetes applications with YAML, compares it to JSON and INI, and outlines three validation levels—structural, semantic, and security—while recommending tools and shift‑left practices to ensure reliable and secure deployments.
The author recounts a sudden overload caused by copying hundreds of gigabytes of small files to an Alibaba Cloud NAS, which crashed the master node of a Kubernetes cluster, leading to Docker failures, and describes step‑by‑step troubleshooting, configuration changes, and lessons learned about backups, cautious operations, and calm analysis.
This article explains why Java Agent injected via environment variables loads in every JVM inside a container, how that impacts JDK tools like java‑version and jstack, and presents a Dragonwell‑based solution using custom environment variables to limit agent loading only to business Java processes.
This article details Volcano Engine DataTester's private deployment architecture, the version‑management, performance, and stability challenges encountered, and the business‑oriented solutions—including branch strategies, pipeline automation, ClickHouse model optimizations, and multi‑level caching—that enable reliable, efficient A/B testing in on‑premise environments.
This article explains how Bilibili’s large‑scale Kubernetes cloud platform reduces costs and improves machine utilization by applying co‑location (mixed‑tenant) techniques, including resource‑aware scheduling, dynamic isolation, and a dedicated management console across online, offline, and idle‑machine scenarios.
This article walks through the complete lifecycle of a Kubernetes deployment, explaining how a manual upgrade request triggers API calls, creates Deployments, ReplicaSets, Pods, and how the scheduler, kubelet, and Docker work together, while also covering concepts like containers, labels, replication controllers, deployments, and autoscaling mechanisms.
Tencent’s shift from VMs to Kubernetes for massive online services faces pod‑size rigidity, heterogeneous node balancing, elastic scaling, and massive cluster‑pool mapping, prompting optimizations such as dynamic CPU compression, custom load‑aware scheduling, collaborative HPA/VPA scaling, dynamic quota migration, unified routing‑sync, and an automated decision‑tree‑driven self‑healing workflow for container‑destruction failures.
This guide walks through ten frequent Kubernetes problems—including service access failures, port mapping errors, certificate issues, pod image pull errors, init‑container hangs, and CrashLoopBackOff—explaining their causes and providing concise, step‑by‑step solutions to restore cluster functionality.
The article explains Kubernetes’ built‑in Horizontal Pod Autoscaler, then details the custom Water Pod Autoscaler (WPA) that extends HPA with dual‑signal (load and SOA registration) detection, dual‑threshold scaling, noise filtering, configurable cooldown, frequency limits, tolerance buffers, and integrated alerting for reliable elastic scaling.
This article walks through the entire lifecycle of deploying an application on Kubernetes, explaining how Docker containers differ from virtual machines, the role of Pods, ReplicationControllers, Deployments, and how automatic scaling with HPA and VPA keeps services reliable and efficient.
This article presents a comprehensive overview of widely adopted microservice technology stacks, including governance frameworks like Apache Dubbo and Spring Cloud Alibaba, CI/CD tools, container orchestration, and various application services, while also offering practical selection guidance for developers and product teams.
This article details the evolution of 58 Tongcheng's deep learning inference platform—from the initial WPAI‑based architecture to a cloud‑native, Istio‑powered design—covering its background, technical challenges, architectural redesign, traffic‑management features, adaptive rate limiting, model warm‑up, and observability improvements.
The article outlines Ctrip’s microservice journey from its 2013 inception, detailing the evolution of its frameworks, the complexities of operating multiple stacks, the challenges faced, and the design of a progressive cloud‑native service‑mesh architecture built on Istio, Envoy, and custom operators.
This article details the evolution of 58.com’s deep learning inference platform, describing the transition from the original SCF‑based architecture to a cloud‑native Istio gateway (architecture 2.0), and explains design choices, traffic‑management, adaptive rate‑limiting, observability, model pre‑warming, and performance improvements.
This article explains Kubernetes pod architecture, networking, external exposure, and how Services use virtual IPs and selectors to provide load balancing and dynamic discovery of pod changes, including the role of kube-proxy and the limitations of using Nginx for pod-level balancing.
This article explains why Java applications running in Kubernetes containers are often terminated with OOMKilled and Exit Code 137, analyzes how the JVM perceives container memory limits, and provides practical flag configurations and code examples to prevent out‑of‑memory crashes.
This article compares the main cloud‑native ingress gateway options—Nginx Ingress, Alibaba Cloud ALB, and Alibaba Cloud MSE—covering their architecture, exposure methods, configuration nuances, health‑check settings, reload behavior, and practical selection guidelines for Kubernetes deployments.
This article explains Kubernetes service discovery by first covering essential network concepts, then detailing how Services, DNS, Endpoints, and kube-proxy work together to provide stable, load‑balanced communication between dynamic Pods in a cluster.
ByteDance’s cloud‑native transformation details a layered technical system, multi‑year Kubernetes‑based evolution, unified multi‑cluster resource management, and hierarchical scheduling, illustrating how the company achieves high development speed, resource efficiency, and prepares for next‑generation serverless infrastructure.
Kubernetes 1.26, themed “Electrifying,” introduces 37 enhancements—including registry changes, storage upgrades, signed release artifacts, Windows high‑privilege containers, metric and scheduling improvements—while promoting 11 features to stable, deprecating 12 APIs, and emphasizing sustainability and carbon‑footprint awareness.
This article explains Docker and Kubernetes container logging fundamentals, highlights the limitations of default json‑file logging, and presents a unified log‑collection architecture using S6‑based images, filebeat, logrotate, Kafka, and Elasticsearch, with practical steps for dynamic configuration and log rotation in a k8s cluster.
Vivo’s cloud‑native journey, detailed from its 2018 machine‑learning pilot to a large‑scale container ecosystem, showcases how high‑availability design, automated multi‑cluster operations, CI/CD pipelines, and unified traffic ingress have dramatically improved efficiency, reduced costs, and enabled rapid, scalable AI‑driven services across the business.
This article explains how cloud‑native AI leverages container‑based architectures and advanced scheduling algorithms—such as resource queues, gang scheduling, bin‑packing, GPU topology‑aware and Tor‑aware dispatch—to improve resource and engineering efficiency, and introduces Baidu’s AI workflow engine PaddleFlow with its design, features, and deployment options.
Kubernetes 1.26 is officially released, introducing 37 enhancements—including 11 stable and 10 beta features—while deprecating 12 APIs, updating the container image registry, removing CRI v1alpha2, advancing storage CSI migrations, enhancing metrics, and adding support for Windows privileged containers and dynamic resource allocation.
This article explains Kubernetes networking models, detailing the underlay network infrastructure, overlay techniques, and common CNI implementations such as Flannel, Calico, IPVLAN, and VxLAN, while comparing their architectures, protocols, and configuration considerations.
This article chronicles Bilibili's five‑year evolution of Site Reliability Engineering, detailing the introduction of SRE culture, the construction of high‑availability and multi‑active architectures, capacity management with Kubernetes, VPA/HPA, incident case studies, and the ongoing transformation of SRE practices across the organization.
ACK One is a distributed cloud‑native container platform that unifies management of Kubernetes clusters across hybrid‑cloud, edge, and on‑prem environments, offering GitOps‑based multi‑cluster application distribution with ArgoCD integration and a centralized alert‑management system.
The Karmada community's Cloud Native Days China 2022 session in Nanjing gathered over 30 enterprises and developers to share multi‑cloud, multi‑cluster production practices, large‑scale testing results, and real‑world implementations from Huawei Cloud, vivo, Hurricane Engine, China Mobile, DaoCloud, and Zhejiang University, highlighting Karmada's scalability and ecosystem growth.
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.
This article details iQIYI's multi‑year journey of mixing offline and online workloads using Dragonfly and Koordinator, covering architectural evolution, key factors for successful co‑location, resource‑allocation strategies, the role of Anolis OS, pilot results, and future directions.
GitOps leverages Git as an immutable source of truth to streamline CI/CD pipelines for Kubernetes, enhancing productivity, security, and compliance by providing observable, auditable deployments, centralized control, and easy rollbacks, while requiring dedicated tools such as Flux or Weave GitOps Core for full implementation.
This article recounts Ximalaya's multi‑year containerization effort, detailing the evolution from early Docker templates and Marathon to Kubernetes, the development of internal tools like barge and k8s‑sync, health‑check strategies, deployment patterns, and the practical lessons gained from integrating containers with existing middleware.
The article explains the “Too many open files” error in Kubernetes, clarifies that it refers to exceeding system file‑handle limits, shows how to inspect current usage with ulimit and lsof, and provides step‑by‑step commands to temporarily or permanently raise the limits and troubleshoot the application code.
This article explains Calico's IPIP networking mode in Kubernetes, covering its architecture, core components, routing behavior, command‑line examples, and packet‑capture analysis to illustrate how pods communicate across nodes.
The article examines Kubernetes architecture from a software‑design viewpoint, showing how its declarative API and extensible ecosystem outpace Swarm and Mesos, and detailing core concepts, control‑plane components, identified design patterns such as microkernel, event‑driven and CQRS, key architectural decisions, and the resulting strengths and trade‑offs.
This guide explains how to extend Kubernetes to edge nodes using OpenYurt and KubeVela, covering node‑pool creation, Helm‑based Nginx Ingress deployment, custom traits for differential configuration, patch strategies, and verification commands, all illustrated with code snippets and images.
This guide explains how to push a Kubernetes cluster toward its theoretical limit of 5,000 nodes by detailing official limits, master node sizing for GCE and AWS, kube‑apiserver high‑availability and connection‑count tuning, scheduler and controller‑manager leader election settings, kubelet optimizations, and DNS anti‑affinity configuration.
This guide explains how to configure VPC peering in Kube-OVN, covering prerequisites, YAML manifests for VPCs, subnets, peerings and static routes, pod deployment on each subnet, and verification of cross‑VPC connectivity using ping commands.
