This article provides a comprehensive introduction to cloud computing, covering its origins, core concepts, service models (IaaS, SaaS, PaaS), deployment models (public, private, hybrid), major providers, and recent market trends that shape the industry today.
This article provides a beginner‑friendly overview of cloud computing, explaining the core concepts of IaaS, SaaS, and PaaS, describing public, private and hybrid deployment models, and analyzing recent market trends and the dominant players shaping the global cloud industry.
The article analyses why China’s SaaS market lags behind the United States, examines macro‑economic and investment trends, presents case studies of early SaaS founders, and proposes strategic approaches—leveraging the mature consumer internet, focusing on high‑frequency verticals, and strengthening product, sales and delivery capabilities—to unlock the next wave of growth.
The article explains cloud computing’s three service models—IaaS, PaaS, and SaaS—while highlighting how container technologies like Docker and Kubernetes have transformed the PaaS layer into a mainstream “container cloud,” driving faster deployments, DevOps convergence, and rapid market growth predicted to double by 2022.
Looking ahead to 2019, the article forecasts that Kubernetes will mature and accelerate adoption, service meshes like Istio and Envoy will dominate multicloud networking, containerized micro‑service marketplaces will expand, SaaS providers will deepen enterprise app portfolios, and hybrid‑cloud and edge computing will grow, driven by cloud‑native architectures.
Cloud computing provides on‑demand, location‑independent access to shared, virtualized resources through service models (IaaS, PaaS, SaaS) and deployment types (public, private, hybrid, community), enabling cost‑effective elasticity and rapid provisioning while requiring careful balance of security, control, and provider dependence.
This article provides a clear, beginner-friendly overview of cloud computing, explaining core terms such as IaaS, PaaS, SaaS, virtualization, hypervisors, OpenStack, containers, Docker, and Kubernetes, and illustrating how these technologies interrelate to form modern cloud infrastructure.
The article shares a designer’s journey from UI creation to product ownership, emphasizing the need to observe real users, collaborate across teams, gather industry insights, and turn user pain points into valuable product features for SaaS customer‑service platforms.
This article examines the rapid growth of cloud computing in China and globally, analyzing public cloud market share, major providers, investment trends, sector-specific forecasts, and the impact of emerging technologies such as AI, IoT, big data, and 5G on future cloud services.
This article explains how cloud computing, big data, and artificial intelligence are interconnected, detailing the evolution from physical data centers to virtualized resources, the concepts of IaaS, PaaS, SaaS, and how these technologies enable flexible, scalable services for modern applications.
In a keynote at the 22nd China International Software Expo, Huawei’s rotating chairman Xu Zhijun argues that SaaS and cloud‑based business models are essential for China to produce globally competitive software firms, and outlines Huawei Cloud’s neutral, “three‑no” strategy to become the fertile platform for the nation’s software ecosystem.
This article demystifies cloud computing by defining IaaS, PaaS, and SaaS, comparing each service model to everyday pizza-making scenarios, and showing how businesses can shift from on‑premises deployments to flexible cloud solutions.
This article explains how cloud computing, big data, and artificial intelligence are interrelated, describing the evolution from physical resource management to virtualized, elastic services, the roles of IaaS, PaaS, and SaaS, and how each technology benefits the others in modern applications.
This article explains the origins and goals of cloud computing, how virtualization adds flexibility in time and space, the evolution from physical servers to public and private clouds, the role of IaaS, PaaS, and SaaS, and how big data and artificial intelligence intertwine with cloud services to enable modern intelligent applications.
In this article the author revisits Jiang Zemin’s 2008 paper on China’s information‑technology industry, highlighting his early predictions about machine learning, GPU research and SaaS, and reflecting on how those insights have proved prescient a decade later.
The article recounts Visual Studio Online’s 2013 launch outage, explains how Microsoft adopted multi‑region scaling, canary releases, continuous integration, and feature‑flag patterns to transition from Agile to DevOps, and shows how these practices dramatically improved service stability and accelerated product delivery.
This comprehensive Q&A covers cloud computing advantages, major platforms, deployment models, differences from mobile computing, utility computing benefits, data security measures, architecture layers, SaaS/IaaS/PaaS roles, hybrid and community clouds, and practical considerations for enterprises and developers.
The article reviews the evolution of big‑data architectures from a simple RDB‑centric pipeline to a SaaS‑based solution, highlighting common bottlenecks such as scaling, integration, cost, and operational complexity, and shares practical experiences and best‑practice recommendations for building efficient, maintainable data platforms.
This guide outlines key factors and a curated stack of SaaS tools—from communication and collaboration to finance, product development, security, and compliance—to help early‑stage startups quickly select cost‑effective solutions that boost productivity and support growth.
The article examines how Tencent’s Blue Whale platform enables traditional operations teams to evolve into DevOps‑focused, cloud‑native units by automating release, change, and incident processes, integrating big‑data decision support, and delivering low‑cost SaaS tools for a wide range of internal stakeholders.
This article introduces cloud computing fundamentals, explains the SaaS, PaaS, and IaaS service models, and shares why the HULK virtualization team builds its own IaaS using open‑source tools like OpenStack, KVM, and Open vSwitch to reduce cost, increase flexibility, and improve security.
This article explains the fundamentals of cloud computing, why cloud servers are advantageous over traditional PCs, outlines public, private, and hybrid cloud models, describes IaaS/PaaS/SaaS layers, introduces key platforms like OpenStack, CloudStack, and OpenShift, and highlights virtualization as the core technology.
The talk outlines Tencent’s Blue Whale platform, describing how automated publishing tools, unattended change processes, fault‑handling strategies, alert‑driven self‑healing, low‑cost tool culture, and a thriving DevOps ecosystem together transform operations from routine maintenance to high‑value, scalable services.
The article reviews the evolution of the public cloud market, highlights Amazon AWS as the dominant player, discusses notable provider outages such as Nirvanix and AWS incidents, and offers guidance for enterprises on multi‑cloud strategies, data redundancy, and provider responsibilities.
Facing tens of thousands of SaaS users, we built a cloud‑native ERP on Alibaba Cloud, employing SLB, ECS, RDS, and OCS, and implemented horizontal and vertical database sharding with a custom DBWrapper layer to achieve scalable, high‑performance, and cost‑effective data access.
In this interview, former Yahoo China tech director turned Qunar CTO Wu Yongqiang shares how he adapted his role, built scalable systems, bridged technology and business, and tackled rapid user‑experience changes as the company grew from a small startup to a publicly listed giant.
This article shares practical insights on rapidly creating a SaaS customer service platform, designing high‑availability architecture, and boosting overall system performance through load balancing, database replication, distributed caching, CDN acceleration, front‑end SPA frameworks, advanced search, and comprehensive monitoring.
This article explains how SaaS transforms product, service, and vendor‑customer relationships, forcing channel partners to adopt strategic, high‑value roles, while highlighting the shift in revenue models, sales cycles, integration needs, and the new opportunities and challenges for partners in the cloud era.
This article uses a pizza‑eating metaphor to demystify cloud computing’s three service models—Infrastructure‑as‑a‑Service, Platform‑as‑a‑Service, and Software‑as‑a‑Service—explaining each layer, real‑world providers, and how they compare to on‑premises deployment, while walking through four pizza‑acquisition scenarios—home cooking, buying a ready‑made pizza, ordering delivery, and dining out—to illustrate the concepts.
