IaaS provides on-demand quick provisioning of virtualized hardware infrastructure resources such as server, storage and network.
PaaS provides on-demand quick provisioning of platform software or middleware execution environment such as message queue, relational database management systems and container orchestration systems.
SaaS provides application or software services through web to the consumer. SaaS does not require consumer managing underlying platform and infrastructure. Email service, data backup service and SMS service are example of SaaS.
In this article, you will see the comparison diagram and learn how to choose between IaaS, PaaS and SaaS.
As SAIC Motor passenger cars are showing extraordinary market performance, it is absolutely necessary to keep developing and upgrading vehicle models to stay ahead of the curve. However, available computing resources for engineering simulations fall far behind the current demand in the following ways: Massive Urgent Requirements, Lagging Resource Iteration, and Poor User Experienc.
To tackle these problems, SAIC Motor Passenger Vehicle Corporation collaborated with Alibaba Cloud and Fanyun Technologies at the end of 2017 to build the first industrial hybrid IaaS simulation computing service platform in the industry - SAIC Simulation Computing Cloud or SSCC, which is primarily composed of Alibaba Cloud's public cloud clusters and clusters built by SAIC Motor Passenger Vehicle Corporation. Data interconnectivity and unified scheduling for computing resources are delivered by using a high-speed leased line. Alibaba Cloud's public cloud clusters primarily provide the following computing resources: HPC Computing Clusters, NAS Shared Network Attached Storage and Graphic Processing Cluster.
In this article, you will get some information on some examples of saas in cloud computing and some security issues related to SaaS.
SaaS service providers must always consider the large number of users when designing an appropriate business architecture. The large user base and massive user data require both efficiency and stability in the infrastructure construction. However, traditional infrastructure construction programs are costly, laborious, and involve complex implementation.
As a result, a more economical cloud service platform that is more convenient for extension has become the first choice for SaaS providers. However, to build a high-performance SaaS application, cloud service infrastructure alone is not enough. The key to determining product performance is in designing and implementing a system architecture that complies with specific business needs using the cloud service platform. In this article you will learn some tips for database optimization for your SaaS services.
Platform as a service (PaaS) is a form of cloud computing that provides a platform allowing consumers to develop and deploy applications and services over Wide Area Network (WAN) or the Internet. The consumer does not manage or maintain the underlying platform software, middleware and cloud infrastructure.
ET Industrial Brain builds a fully open industrial intelligent PaaS platform, which supports plug-in type connection of industrial mechanism models and microservices and allows third-party developers to quickly generate various industrial intelligent applications. In this article you will find some examples and some useful information for PaaS service.
Now as the Cloud Computing tide strikes, the traditional database market is facing a situation of reshuffling. The rise of a group of new forces, including cloud databases, has shaken the monopoly of traditional databases, and the Cloud Native database led by cloud vendors pushes this change to the maximum.
As Jeff Bezos, the founder of AWS, said: "The real battle will be in databases". The cloud was first built from IaaS. Therefore, from virtual machines, storage, and networks, to popular intelligent applications nowadays (such as voice recognition, computer vision, and robotics), all are based on IaaS, and the database is the most critical link to connect IaaS with intelligent application SaaS. From data generation, to data storage, and to data consumption, databases are crucial at every step.
In the single-tenant big data product architecture, the bottom layer is HDFS2, on which resource control platforms such as Hadoop Yarn and MESOS reside. We can implement specific computing models, such as MR, Hive, HBASE, and Spark over the resource control platforms. In this ecosystem, the IaaS platform is generally available to the same tenant. When new business requirements arise, the tenant can apply for a batch of VM clusters on the IaaS platform, and then deploy open-source products on the clusters. Yet it came some problems with single-tenant IaaS architecture from the perspective of isolation.
To address these problems, MaxCompute offers PaaS multi-tenancy capability using a proprietary system architecture.
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