This article explains the three main cloud service models—Infrastructure as a Service, Platform as a Service, and Software as a Service—while detailing key cloud concepts such as resource pooling, service quantification, rapid elasticity, and automated management including backup and security.
This guide explains Hologres compute group instances, covering the four core challenges of real‑time data warehouses, the architecture and benefits of elastic compute groups, time‑based elasticity, serverless computing, query queue, and step‑by‑step practices for management, authorization, connection, monitoring, and migration.
Xiaohongshu’s cloud‑native team transformed its over‑90% containerized services by introducing resource‑pooled mixed deployment, fine‑grained unified scheduling, and an elastic container pool with global HPA and cluster autoscaling—driving 35% of resources to mixed use, tens of millions of daily core‑hours, and roughly 30% cost savings while preparing for hybrid‑cloud expansion and FinOps.
This article reviews the limitations of traditional Spark shuffle, introduces Apache Celeborn (Incubating) as a remote shuffle service, and details its design for performance, stability, and elasticity, including push shuffle, partition splitting, columnar shuffle, multi‑layer storage, congestion control, and real‑world evaluation.
This case study describes how Hangzhou Mingshitang transformed its homework photo evaluation system from a Kubernetes‑based solution to an Alibaba Cloud Function Compute serverless architecture, achieving higher elasticity, lower latency, and reduced costs while handling peak traffic of over one million daily images.
This article summarizes Wang Chuanting’s DTCC2022 talk on Huawei Cloud GaussDB(DWS) 3.0, detailing its cloud‑native architecture, layered elasticity, lake‑warehouse integration, performance acceleration techniques, and how it seamlessly couples data‑processing pipelines with AI workloads for modern, real‑time analytics.
Vivo’s Database‑as‑a‑Service platform tackles cloud‑native challenges by automating massive instance management with self‑service work orders and self‑healing, enabling elastic scaling through mixed‑deployment and multi‑threaded Redis tools, optimizing costs via automatic package shrinkage, and safeguarding personal data with full‑chain encryption, while outlining a roadmap toward AI‑driven fault handling, container‑based resources, and advanced privacy governance.
This article explains the concept of elastic auto scaling in cloud services, describes typical scenarios such as high‑elastic web apps and compute‑intensive workloads, details the four‑layer architecture and workflow, and outlines functional features, stability improvements, and future optimization directions.
Cloud‑native databases have shifted from simple containerized services to comprehensive, elastic solutions that integrate multiple engines and distributed technologies, offering horizontal scaling, fine‑grained billing, and high‑performance architectures, while enterprises must evaluate vendor perspectives and choose between public‑cloud services or private‑cloud implementations.
This article explains what cloud‑native architecture is, why it is essential for modern SaaS businesses, and provides a step‑by‑step guide—including serverless migration, elasticity, observability, resilience, and automation—on how to adopt it using Alibaba Cloud SAE and related services.
This comic‑style article explains cloud computing by tracing its evolution from the first computer in 1946, through networks, servers and data centers, to modern services like Amazon EC2, highlighting its resource‑pooling, elasticity, and security advantages over traditional computing.
The article explains the functional purpose, early evolution, layered and clustered design, distributed technical architecture, caching, asynchronous checks, heterogeneous storage, payment solutions, and anti‑bot measures of a cloud‑based shopping cart, highlighting stability, performance, elasticity, and fault‑tolerance.
The article explains hybrid cloud architecture, defining it as interconnected IT infrastructures across multiple clouds, outlines its various forms—including public‑public, private‑private, public‑private, and public‑traditional IT—compares it with multi‑cloud, and discusses key characteristics such as elasticity, extensibility, security, and the five‑fold design goals for modern cloud deployments.
This article defines hybrid cloud as an IT architecture interconnecting multiple clouds, distinguishes it from multi‑cloud, examines four common hybrid forms, outlines key characteristics such as elasticity, scalability and security, and presents the five‑connectivity design goals that make hybrid cloud the cornerstone of new infrastructure.
Cloud‑native databases address the elasticity, resilience, and high‑availability demands of modern cloud computing by separating compute and storage, leveraging log‑based persistence, multi‑replica consensus, and distributed architectures such as Spanner, Aurora, and TiDB, offering higher performance, lower cost, and better resource utilization.
This article explains the purpose, layered and cluster design, distributed architecture, reliability goals, caching strategy, asynchronous checks, storage heterogeneity, payment solutions, and advanced techniques like Nginx+Lua aggregation for building a high‑performance, elastic cloud shopping cart system.
This article explains how to design private and hybrid cloud architectures, outlines essential open‑source technologies, discusses scalability, availability, manageability and feasibility, and provides practical guidance on resource measurement, queue load‑balancing, and error‑data handling for robust cloud systems.
The article explains the purpose, layered and cluster designs, distributed technical architecture, caching strategies, asynchronous checks, storage heterogeneity, payment solutions, and anti‑scalper mechanisms of a cloud‑based shopping cart, highlighting stability, high performance, elasticity, and fault‑tolerance requirements.
This article traces the evolution of cloud computing from the first computer ENIAC through the rise of networks, servers, and data centers, explains how Amazon and Google pioneered the term, and highlights its three core features—resource pooling, elastic scalability, and reliable security—showing why it’s reshaping IT today.
This article explains why modern enterprises need cloud‑native architecture, introduces the SESORA maturity model, and provides a detailed, practical walkthrough of deploying a cloud‑native application on Alibaba Cloud SAE, covering namespace creation, app configuration, SLB binding, service discovery, elasticity, observability, resilience, and automation.
The article presents a comprehensive cloud computing reference architecture, illustrating private and hybrid cloud designs, discussing platform choices, storage solutions, scalability, elasticity, and key considerations such as availability, manageability, and feasibility for building robust, cost‑effective systems.
The article explains that migrating legacy monolithic systems to the cloud is far from a simple lift‑and‑shift, highlighting the pitfalls of inflexible on‑premise infrastructure, the importance of horizontal scaling, stateless application design, micro‑service decomposition, and asynchronous communication to fully leverage cloud elasticity and cost efficiency.
This article explains how to partition data‑center networks, apply security‑level (等级保护) controls with firewalls and VRF, compares common three‑layer and flat topologies, and outlines future directions such as elasticity, simplicity, and openness for next‑generation data‑center networking.
The article examines the evolution of cloud computing, highlighting 2009’s pivotal milestones and the 2019 rise of Serverless, then critically assesses Serverless’s touted advantages—elasticity, reduced operations, rapid deployment—against practical challenges such as cold‑start latency, vendor hype, and migration complexities.
Tencent’s 2019 infrastructure breakthrough revealed a million‑plus servers, 100 Tbps network bandwidth, modular data centers, self‑developed hardware and software innovations that together slashed total cost of ownership by 30%, boosted efficiency, and pushed cloud elasticity to new heights.
In this keynote from the 2019 Cloud Native Practice Summit, ThoughtWorks China CTO Xu Hao argues that the cloud’s fundamental power is copying images to create identical machines, urging a shift from scale‑up to scale‑out, defining elastic boundaries by business context, and adopting replication‑first thinking for cost‑effective cloud‑native architecture.
This lesson introduces cloud hosts, explaining their core concept, key features such as security, stability, elasticity and high performance, the underlying virtualization and migration technologies, product architecture, disk and image options, and common application scenarios for enterprises and developers.
This article explains how microservices differ from traditional monolithic delivery, outlines the five key architectural constraints—scalability, elasticity, composability, minimality, and completeness—and provides practical guidance for designing robust, loosely‑coupled services.
This article explains how Alibaba transformed its database infrastructure through hybrid‑cloud high‑performance ECS, container‑based multi‑instance deployment, and a user‑space storage‑compute separation architecture with RDMA, dramatically improving resource utilization, scaling speed, and cost efficiency for massive traffic spikes.
Alibaba’s database team explains how their next‑generation X‑DB system achieved extreme elasticity, high performance, and cost efficiency during the Double 11 shopping festival by leveraging cloud‑native hybrid deployment, containerization, storage‑compute separation, Paxos‑based consistency, and AI‑driven self‑optimizing DBA tools, while outlining key challenges and solutions.
This article explains the role of Platform as a Service (PaaS) as the foundational application infrastructure in cloud environments, its essential functions, multi‑tenant elasticity, strategic importance for enterprises, and why it is considered a future "silver bullet" for software development.
