Fluid 1.0 introduces a cloud‑native data orchestration platform that abstracts dataset management, affinity scheduling, custom data processing, and data flow pipelines for AI and big‑data workloads on Kubernetes, backed by extensive production testing, open‑source contributions, and a roadmap for future enhancements.
This article explains containerd’s role in Docker, outlines its core responsibilities and design goals, shows how to install and configure it on Ubuntu, and provides a complete Go example that pulls a Redis image, creates a container, runs and cleans up the task.
This whitepaper examines the industry trend of moving data‑intensive analytics applications to cloud‑native environments, revealing how cloud storage cost models affect performance optimization, and presents case‑study findings from Uber’s Presto production workload that highlight fragmented I/O patterns and the financial impact of storage API calls.
This guide shows how to use free AI translation tools—Immersive Translate and OpenAI Translator—together with the Higress cloud‑native AI‑proxy plugin, configuring Docker, model mappings, and custom dictionaries to efficiently translate computer‑science textbooks like Rust and Crafting Interpreters, while comparing machine and human translations.
This article explains the evolution of iLogtail from a single‑file collector to a multi‑language, plugin‑based observability pipeline, outlines the motivations for refactoring, describes the new unified data model, plugin abstractions, pipeline design, configuration management, hot‑reload mechanisms, and the separation of enterprise and open‑source code, providing a comprehensive view of the architectural upgrade.
This article explains what cloud‑native databases are, outlines their key characteristics such as containerization, microservice architecture, elastic scaling, and automation, lists major cloud‑native database offerings, and describes common application scenarios for modern cloud environments.
This article introduces four leading open‑source container platforms—Docker, Podman, Containerd, and CRI‑O—detailing their core features, architecture, and use‑case advantages, helping readers understand each product’s strengths and suitability for modern cloud‑native and micro‑service deployments.
This article explains why traditional kubectl exec fails under common Kubernetes security best‑practices and demonstrates how to use kubectl debug to launch temporary containers with shared namespaces, install tools like htop, and explore alternative debugging methods such as kpexec and AI‑assisted Appilot.
This guide compiles a comprehensive set of kubectl and Docker command snippets for retrieving logs, sorting pods, managing secrets, cleaning up resources, performing port‑forwarding, patching storage classes, and other routine Kubernetes and container operations, helping administrators streamline cluster maintenance tasks.
This guide explains how to achieve consistent, multi‑region game server deployment using Alibaba Cloud ACK One, Kubernetes clusters, Helm charts, and GitOps, covering infrastructure planning, cluster registration, fleet management, and automated publishing for both PvE and PvP games.
VikingDB is a cloud‑native vector database that originated at ByteDance, offering high‑performance ANN search, hybrid dense‑sparse retrieval for Retrieval‑Augmented Generation, extensive scaling and filtering capabilities, and ready‑to‑use SDKs for real‑world AI applications.
In 2023, major tech companies like Google, Amazon, and Uber publicly questioned the benefits of microservices, revealing new architectural approaches that promise lower latency, reduced costs, and simpler deployment, while highlighting the challenges and pitfalls that have led many teams to revert to monolithic designs.
This article provides a comprehensive overview of etcd—including its origins, role in Kubernetes, version evolution, layered architecture, key terminology, operational commands, monitoring metrics, benchmarking procedures, disk‑performance testing, and tuning recommendations—for building reliable cloud‑native clusters.
Microservices have evolved from early SOA to container‑driven, cloud‑native architectures, offering fine‑grained, loosely coupled services with benefits like scalability, independent deployment, and fault isolation, while also presenting challenges such as distributed complexity, testing, and operational overhead, and are best adopted when traffic, team size, or rapid iteration demand it.
In 2023, major tech companies such as Google and Amazon publicly questioned the benefits of traditional microservice architectures, presenting new "microservice 2.0" concepts, monolithic alternatives, and cost‑performance analyses that highlight a broader industry shift toward more pragmatic, cloud‑native design approaches.
The paper details a same‑city dual‑active architecture for a high‑traffic transaction platform, combining blue‑green and dual‑cluster deployment with zone‑aware routing, middleware transformations, and a gradual traffic‑coloring release process that achieved near‑50/50 traffic split, stable performance, minimal cost, and outlines remaining challenges.
This article explains why regular Etcd snapshots are essential for Kubernetes disaster recovery and provides detailed, command‑line procedures for restoring Etcd data on both single‑node and high‑availability clusters, including necessary configuration adjustments and verification steps.
The article introduces LightPool, an open‑source, cloud‑native storage‑pool architecture presented at HPCA 2024, which leverages NVMe‑over‑Fabric, Kubernetes CSI integration, and a lightweight user‑space engine to deliver high‑performance, elastic, and highly available storage for large‑scale distributed databases while reducing cost and improving resource utilization.
In 2023, leading tech firms such as Google, Amazon, Uber and others began questioning the dominance of microservices, presenting new architectural approaches that combine logical monoliths with runtime‑driven deployment, promising dramatically lower latency, cost reductions and simpler operations.
The article presents LightPool, a cloud‑native storage‑pooling solution that leverages NVMe‑over‑Fabric, Kubernetes‑based scheduling, and a lightweight user‑space engine to deliver high‑performance, low‑cost, and highly available storage for large‑scale distributed databases while eliminating traditional bottlenecks.
The article introduces LightPool, an open‑source cloud‑native storage‑pool architecture built on NVMe‑over‑Fabric that delivers high performance, low cost, and high availability for large‑scale distributed databases, and explains its design, scheduling, storage engine, and hot‑upgrade/migration capabilities presented at the 30th IEEE HPCA conference.
Tencent Docs transformed its high‑traffic Collection Form by refactoring a monolithic C++‑style service into 19 loosely‑coupled vertical services with light‑heavy separation, database isolation, async Kafka pipelines, and full observability via Tianji, achieving dramatically improved stability, millisecond‑level sync, reliable export, and faster incident resolution.
This article explains why monitoring is vital for microservice architectures, outlines the core metrics such as performance, health, tracing, and resource usage, and reviews popular monitoring frameworks like Prometheus, Grafana, Zipkin, and the ELK Stack.
This multi‑chapter guide provides in‑depth, hands‑on instruction for configuring and optimizing all Prometheus components, exploring Kubernetes monitoring, source‑code analysis, custom exporter development, high‑availability setups, service discovery, resource‑efficient scraping, and integrating Thanos for long‑term storage.
Tracing the evolution of container technology—from the 1979 Unix chroot command, through Linux namespaces and cgroups, to LXC, Docker, and Kubernetes—this article explains each milestone’s role in isolation, resource control, and cloud-native orchestration, highlighting the shift toward managed cloud container services.
The article presents a cloud‑native distributed Data Warebase that unifies relational, NoSQL, search and analytical capabilities into a single horizontally‑scalable system, reducing data‑access barriers and improving developer productivity while addressing consistency, latency, cost and operational complexity.
This article explains how the integration of sriov-network-operator and Kube-OVN automates the complex configuration and persistence of RDMA and SR‑IOV in Kubernetes, enabling high‑availability, multi‑tenant networking for AI distributed training workloads.
This article explains the concept of graceful shutdown, outlines general steps, presents a detailed Kubernetes‑SpringBoot‑Nacos case study, discusses common pitfalls, and provides practical optimization techniques for reliable service termination in cloud‑native environments.
The 2023 GitHub Octoverse report reveals that generative AI, cloud‑native workflows, and open‑source contributions are rapidly becoming mainstream, with 92% of developers using AI‑assisted coding tools, a 38% rise in private repositories, and significant regional growth across the US, Asia‑Pacific, Africa, and Latin America.
This article explains APISIX’s multi‑process architecture and request lifecycle, then explores various ways to develop external plugins—including SideCar‑based plugins, WASM modules, and LuaJIT FFI—detailing their implementation steps, advantages, and limitations to help developers choose the optimal approach for extending the cloud‑native gateway.
Facing poor observability, high resource waste, and unstable releases, QingTuan’s flexible‑workforce platform transformed its monolithic and SOA systems into a cloud‑native micro‑service architecture using Alibaba Cloud ACK, MSE, ARMS, and Prometheus, achieving higher availability, elastic scaling, and up to 50% infrastructure cost reduction.
This article examines the challenges of data‑intensive AI training on heterogeneous cloud‑native infrastructure and explains how the Fluid framework combined with JindoCache and KubeDL provides distributed caching, metadata acceleration, and seamless POSIX access to dramatically improve I/O performance, GPU utilization, and cost efficiency.
Feishu ShenNuo redesigned its data architecture by integrating Flink, Hudi, and Hologres to create a cloud‑native real‑time data warehouse that supports both millisecond‑level ad monitoring and minute‑level game operations, offering scalable storage, low‑latency queries, and comprehensive monitoring and capacity planning.
Tracing the history of containerization, this article explores how early file isolation with chroot evolved through namespaces and cgroups, leading to LXC, Docker’s lightweight application packaging, Kubernetes orchestration, and finally cloud-native services like Huawei CCE, highlighting each stage’s impact on modern software deployment.
This guide explains how NGINX‑Ingress works, outlines key considerations for running multiple instances, and provides step‑by‑step instructions—including helm installation, custom controller parameters, admission webhook scoping, and verification screenshots—to reliably deploy and manage several NGINX‑Ingress controllers in a Kubernetes cluster.
This article traces the evolution of software architecture—from early monolithic Java war packages through Service‑Oriented Architecture to modern microservices and cloud‑native designs—highlighting their structural differences, benefits, challenges, and the key principles that guide successful migration to distributed, scalable systems.
This article dissects the internal architecture of Kubernetes' kube-scheduler, walking through its initialization with Cobra, the Setup function, the creation of scheduler instances, the priority queue mechanics, scheduling cycles, and binding processes, providing comprehensive code examples to illuminate each step of the scheduling workflow.
During high‑traffic load tests, e‑commerce services often hit performance ceilings, leading to low success rates and high latency; by combining tracing data, CPU flame‑graphs, and Alibaba Cloud’s ARMS 3.x JavaAgent features such as Code Hotspots and Adaptive Overload Protection, teams can automatically locate bottlenecks, mitigate traffic spikes, and improve stability without code changes.
Observability in distributed systems combines event logging, aggregated metrics, and request tracing—each offering distinct trade‑offs in detail, storage, and overhead—and while the ELK stack dominates log and metric handling, tracing solutions such as EagleEye and SkyWalking differ by protocol and language, prompting many teams to adopt unified, cloud‑native platforms like Alibaba Cloud’s Log Service for lower cost, real‑time analysis and simplified management.
This guide compiles 100 practical kubectl commands that help you diagnose cluster information, pods, services, deployments, networking, storage, security, autoscaling, and many other Kubernetes components, providing a handy reference for effective cluster troubleshooting.
This guide explains monitoring fundamentals, clears common misconceptions, compares black‑box and white‑box approaches, outlines key metrics such as latency, traffic, errors and saturation, and provides a deep dive into Prometheus architecture, data model, query language, and practical examples for CPU, memory, and disk monitoring.
This article examines the urgent need for standardized, trustworthy computing power measurement, outlines narrow and broad measurement frameworks, and details a technical solution that integrates WASM virtual machines and blockchain with Kubernetes to achieve precise, tamper‑proof resource accounting for modern cloud‑native environments.
Tango Flow is a low‑code workflow orchestration platform that unifies Cloud Music’s backend services—RPC, HTTP, FaaS and tool‑domain APIs—into visual, versioned workflows, offering drag‑and‑drop design, debugging, mock testing, multi‑tenant clustering, monitoring and continuous release to replace BFFs and accelerate full‑chain development.
Taobao’s shopping cart was scaled and optimized by raising the item limit to 380, deploying the cloud‑native in‑memory read‑only replica tairSQL for read‑write separation, pre‑computing promotions, compressing payloads, caching data, redesigning the protocol, introducing response‑streaming APIs, and parallelizing per‑item processing with Java’s ForkJoinPool, dramatically cutting latency during traffic spikes.
This article examines five prevalent software architecture styles—monolithic, microservices, client‑server, distributed, and cloud‑native—explaining their characteristics, advantages, and suitable scenarios to help developers choose the most appropriate design for their projects in modern software development.
This article compares two popular open‑source Kubernetes monitoring and alerting solutions—kube‑prometheus and Nightingale—detailing their features, deployment steps, advantages, drawbacks, and providing guidance on choosing or combining them based on specific operational needs.
Facing exploding metric volumes, high resource consumption, and fragile operations, Xiaohongshu's observability team completely rebuilt its metrics pipeline using Victoriametrics, achieving ten‑fold performance gains, minute‑level scaling, high‑availability, cost reduction, and robust multi‑cloud active‑active deployment while preserving data safety and query speed.
This article walks you through creating a lightweight Docker‑like container runtime using Bash, explaining Linux namespaces, cgroups, and overlayfs, showing how to inspect and manipulate them, and providing a complete 130‑line script that implements pull, build, run, exec, logs, and cleanup operations.
This article explains what internal network penetration is, why developers should use FRP (Fast Reverse Proxy) to access internal services, perform remote debugging, receive webhooks, protect sensitive data, and provides a step‑by‑step guide to install and configure FRP on Linux servers and clients.
This article explains how Alibaba Cloud Container Service (ACK) extends Kubernetes scheduling with custom elastic resource priority, reverse‑order scaling, and resource caps, providing step‑by‑step examples and YAML policies to help enterprises optimize cloud resource allocation and reduce costs.
At the 21st GOPS Global Operations Conference, Shenwan Hongyuan’s senior product manager presented a detailed case study of their cloud‑native business middle platform, outlining challenges such as siloed systems, the goals of creating an open, flexible, high‑efficiency platform, and the stepwise evolution from version 1.0 to 3.0.
2023 saw a growing backlash against microservices as major players like Google, Amazon, and Basecamp’s DHH highlight performance, cost, and complexity issues, proposing monolithic or “microservices 2.0” approaches that promise lower latency, reduced expenses, and simpler deployment, sparking a re‑evaluation of cloud‑native architectures.
This guide provides a concise, 5‑minute overview of the most frequently used kubectl commands—including autocomplete setup, context management, resource creation, querying, updating, patching, scaling, and troubleshooting—complete with ready‑to‑run code snippets for efficient Kubernetes cluster operations.
Since August 2021, DeWu App has built a cloud‑native, multi‑cluster Kubernetes platform that uses an OAM‑style CloneSet model, Helm‑generated resources, Karmada‑based federation, custom scheduler plugins for reservation and node‑balance, offline mixing for Flink, a unified KubeAutoScaler, and a self‑built KubeAI stack, achieving significant cost cuts and improved stability while planning further middleware containerization and multi‑cloud expansion.
This document presents a thorough overview of cloud‑native DevOps, covering the evolution of related technologies, detailed analysis of virtualization, container orchestration, CI/CD pipelines, programming language choices, system architectures, database options, build tools, and five step‑by‑step practice cases that demonstrate end‑to‑end automation, monitoring, and release management in Kubernetes environments.
This comprehensive guide covers kubectl basics, autocomplete setup, context configuration, creating, viewing, updating, patching, editing, scaling, and deleting resources, as well as interacting with pods, nodes, and using the kubectl set family for resources, selectors, and images.
HoraeDB, the next‑generation cloud‑native time‑series database originally from Ant Group, has been accepted into the Apache Incubator, and this article outlines its design motivations, distributed architecture, key technical components, and core capabilities such as high performance, low cost, SQL‑based analytics, storage‑compute separation, high availability, and open‑source ecosystem compatibility.
The paper describes Bilibili’s Caster platform, which implements standardized workflows, left‑shifted pre‑checks, tiered release checkpoints, and an emergency green‑channel to safely manage containerized application changes, providing real‑time observability, automated rollback, and capacity‑aware scaling that together cut change‑induced incidents and improve production stability.
This article outlines nine practical microservices best practices—from applying the Single Responsibility Principle and forming cross‑functional teams to using proper DevSecOps tools, asynchronous communication, independent data stores, and robust monitoring—to help developers design scalable, maintainable, and secure backend architectures.
Xiaohongshu’s observability team rebuilt its Prometheus‑based metrics platform using vmagent, dual‑active HA clusters, query push‑down, high‑cardinality governance and multi‑cloud active‑active design, delivering ten‑fold collection speed, up to 70× query capacity, massive CPU‑memory‑storage savings and fully automated scaling.
The article examines the cost, performance, and efficiency challenges of large‑model inference, explains why Kubernetes is becoming the standard platform for AI workloads, and details how the Fluid project provides cloud‑native caching, elastic scaling, and automation to dramatically reduce startup latency and operating expenses.
This article explains how the team transformed a Go‑based microservice recommendation system into a single‑pod monolithic application using tRPC‑Go, detailing performance bottlenecks, code‑level mock‑proxy techniques, deployment adjustments, and the resulting dramatic reduction in CPU consumption.
This article surveys emerging database platforms such as PlanetScale, YugaByteDB, Dolt, CockroachDB, Cloudflare D1, Xata, SurrealDB, and FaunaDB, highlighting their architectures, features, pricing, and trade‑offs for developers seeking modern, distributed, or serverless solutions.
This article introduces Docker’s core architecture, lists frequently used Docker commands, compares containers with traditional virtual machines, and explains the underlying technologies—namespaces, cgroups, and union file systems—that enable lightweight, isolated, and efficient application deployment.
Xiaohongshu’s cloud‑native platform adopted a four‑stage mixed‑workload scheduling strategy—reusing idle nodes, whole‑machine time‑sharing, normal mixed pools, and a unified scheduler (Tusker) that coordinates CPU, GPU and memory across Kubernetes and YARN—boosting average cluster CPU utilization from under 20 % to over 45 % and delivering millions of low‑cost core‑hours while preserving QoS for latency‑sensitive, mid, and batch jobs.
GaiaDB, Baidu’s cloud‑native database, combines compute‑storage separation with a fused, log‑service architecture to boost performance, simplify consistency, and deliver multi‑level high availability across zones and regions, while supporting new features such as parallel query, HTAP replicas, and serverless scaling.
This article provides a detailed walkthrough of a typical microservice architecture, covering entry traffic with Nginx, gateway selection, business service design, service registry options, caching and distributed locks with Redis, data persistence strategies, structured data storage, messaging middleware, log collection, task scheduling, and distributed object storage, while also promoting related community resources.
This article details Qunar's comprehensive overhaul of its monitoring platform—introducing second‑level metrics, redesigning storage with VictoriaMetrics, optimizing client and server data collection, and building a root‑cause analysis tool—to dramatically reduce order‑related fault discovery time from minutes to under one minute.
Low-code development uses visual, drag‑and‑drop interfaces and minimal coding to let both professional and non‑technical users quickly build applications, boosting efficiency, reducing maintenance effort, and lowering overall development costs across various business scenarios.
This article details the August 2023 Bilibili CDN failure, analyzes its root causes, describes the 1‑5‑10 emergency recovery framework, and presents cloud‑side SLB/BFS optimizations and edge‑side scheduling and fallback strategies that together restored service and improved future resilience.
Japanese game developer KMS migrated from Azure to Tencent Cloud, adopting a cloud‑native architecture with Tencent’s Elastic Microservice platform that provides timed and metric‑based scaling, CI/CD pipelines, and batch upgrades, resulting in roughly 50% cost savings, 15% performance gains and 50% latency reduction.
This guide explains what the Nginx Ingress Controller is, how to install it on Kubernetes using Helm, and provides example configurations for deploying it in production (EKS) and development (Docker Desktop) environments to route traffic to backend services.
The talk outlines the evolution of Alibaba Cloud's open‑source big data platform from Hadoop‑based EMR to a 3.0 architecture featuring a streaming lakehouse, full serverless compute and storage, AI‑driven operations, and upcoming vector search services, highlighting technical motivations, challenges, and product releases.
The article shows how to monolithize selected tRPC‑Go microservices by defining protobuf‑generated Go interfaces and swapping RPC proxies for in‑process implementations via a proxy API, cutting CPU usage by 61% while keeping microservice flexibility and offering best‑practice guidelines for Go service design.
This article introduces several widely used container engines—including Docker, Podman, LXD, Containerd, and CRI‑O—explaining their core components, architectural differences, security features, and typical use cases for developers and operations teams.
Facing rapid growth in offline data and compute demands, we migrated our big‑data platform to a cloud‑native architecture using Spark 3.2.3 on Kubernetes with OSS‑HDFS storage, achieving elastic scaling, cost reduction, and compute‑storage separation while detailing implementation, challenges, and operational insights.
This article outlines essential microservice best practices—including the single‑responsibility principle, clear team responsibilities, appropriate tooling, asynchronous communication, DevSecOps security, independent data stores, isolated deployments, orchestration, and effective monitoring—to help developers design scalable, maintainable, and high‑performance backend systems.
This article presents the cloud‑native storage acceleration demands, evaluates what constitutes a good acceleration solution, and details the design, implementation, and real‑world practice of CloudFS—including metadata acceleration, data‑plane caching, FUSE enhancements, AI training and multi‑cloud data‑lake use cases—while outlining future roadmap plans.
This article analyzes the rise of cloud‑native technologies in big data ecosystems, identifies key pain points such as resource scheduling, service capabilities, performance, and operations, and presents detailed technical explorations—including Volcano batch scheduling, Kyuubi serverless, vectorized computing, remote shuffle services, and storage‑compute separation—while outlining future development directions.
The article reports on Zhengcai Cloud's successful migration to Dubbo3.1.8, detailing the motivations, scale of the system, upgrade process, and the resulting performance and stability improvements for its massive procurement platform.
Douyin tackled vector‑retrieval challenges by optimizing HNSW and creating a high‑performance IVF algorithm, implementing custom scalar quantization, SIMD acceleration, and a DSL‑driven engine that merges filtering with search, then built a cloud‑native, storage‑compute‑separated vector database (VikingDB) delivering sub‑10 ms latency, real‑time updates, multi‑tenant support, and secure, scalable retrieval for LLM‑driven applications.
The article details Gaode’s journey of building a high‑performance Go ecosystem that scaled from zero to tens of millions of QPS, comparing Go with Java and Erlang, outlining cloud‑native serverless architecture, and sharing real‑world refactoring and optimization case studies such as a million‑QPS rendering gateway and a Go‑based sharding middleware.
This guide presents essential kubectl commands for creating and managing Deployments, Pods, Services, and Ingresses, checking cluster and node status, running container applications, updating images and resource limits, and handling log collection and monitoring in a Kubernetes environment.
This article explains how TikTok’s cloud‑native platform leverages elastic scaling, monitoring, and quota systems to dynamically share resources between online, latency‑sensitive services and offline, batch workloads, improving utilization while preserving service stability across tidal traffic patterns.
To upgrade an Istio service mesh without overloading the cluster or causing downtime, the author recommends using Kubernetes’s built‑in kubectl rollout restart for each deployment—scaling replicas up then deleting old pods or simply invoking the command in a scripted loop—to safely perform a rolling restart of all sidecar‑proxied pods.
This article introduces OushuDB, a cloud‑native real‑time lakehouse database, tracing the evolution of cloud‑native lakehouse architectures, detailing OushuDB’s multi‑engine, multi‑storage design, and sharing practical insights on compute‑storage separation, high‑availability, and integration with Hadoop, Hive and Hudi.
This article explains how a government procurement platform built a hybrid cloud‑native “highway” solution using Dubbo to achieve reusable, tunnel‑based data synchronization across cloud and isolated island networks, detailing the background, challenges, design choices, implementation steps, and future roadmap.
This guide explains how to use Alibaba Cloud Service Mesh (ASM) traffic lanes to perform full‑chain gray releases, covering strict and loose lane modes, prerequisite setup, service deployment, lane group creation, rule configuration, and validation commands with concrete YAML examples.
This article details DeWu's evolution from a sneaker marketplace to a full‑stack e‑commerce platform and explains how its cloud‑native monitoring system, based on OpenTelemetry, ClickHouse, and object storage, was architected, optimized, and scaled to handle billions of spans daily.
This article explains the fundamentals of metrics, introduces dimensional metrics, compares Prometheus, OpenMetrics, and OpenTelemetry standards, and provides detailed guidance on the four Prometheus metric types—Counters, Gauges, Histograms, and Summaries—including their use‑cases, PromQL queries, and Python client examples.
The article explains the origins, common misconceptions, and a rigorous definition of observability (o11y), highlights its importance in cloud‑native environments, and describes how high‑cardinality, high‑dimensional telemetry enables effective debugging, troubleshooting, and performance analysis of modern distributed systems.
The article explains Huawei's VLDB 2023 paper on a cloud‑native multi‑master database, detailing its architecture, novel VS‑clock and hybrid lock techniques, and presents extensive performance experiments that show near‑linear scalability and superior throughput and latency compared with Aurora and CockroachDB.
This article explains how Kubernetes Admission Controllers work, introduces the new Validating Admission Policies feature that uses CEL for native policy enforcement, and provides a step‑by‑step demonstration with YAML and kubectl commands showing how to limit deployment replicas in a namespace.
Explore nine indispensable Kubernetes tools—including Kubie, Kubespray, Helm, Minikube, K3s, Kustomize, KOps, Prometheus, and krew—that simplify cluster management, accelerate deployments, and enhance efficiency, helping you choose the right solution for smoother, more productive cloud‑native operations.
REDck is a cloud‑native, storage‑compute separated real‑time OLAP data warehouse derived from ClickHouse that addresses scalability, operational cost, and reliability challenges through a unified metadata service, object‑storage optimizations, multi‑level caching, distributed task scheduling, and two‑phase commit transactions.
This article explains how Alibaba Cloud EventBridge provides unified event services, data pipelines, and ecosystem integration to address modern messaging challenges such as routing, processing, and cross‑region synchronization, offering step‑by‑step guidance and practical scenarios for developers.
This article explains the concept of unitized architecture, its characteristics and types, the performance and reliability challenges it solves for large‑scale microservice systems, and how Tencent Cloud’s TSF platform implements unit routing, gray release, and disaster‑recovery to achieve efficient, cross‑region, high‑availability deployments.
The article details how to design and implement a cloud‑native payment fund account system on Tencent Cloud, covering account definitions, fund flow and multiple account types, TDSQL storage, separated fund and account services, robust security, distributed transactions, auditing, reconciliation, and high‑availability measures for high‑concurrency merchant payments.
Xiaohongshu built REDck, a cloud‑native, storage‑compute separated real‑time OLAP warehouse on ClickHouse, addressing scaling, cost, and reliability challenges through a unified metadata service, object‑storage optimizations, multi‑level caching, distributed task scheduling, bucketing, and exactly‑once transaction support.
To tackle the exploding number of microservices and heterogeneous infrastructure in cloud‑native enterprises, the article proposes a unified service‑and‑resource abstraction built on the Open Application Model and its implementation KubeVela, enabling declarative application definitions, cost attribution, automated lifecycle management, and cross‑region efficiency through component marketplaces, an application center, an operations platform, and a site‑building center.
