ABC comprehensive integration, flexible selection

The H3C CloudOS cloud operating system has innovated the business of AI (A), Big Data (B), and Cloud (C) by orchestrating and combining the above businesses according to user needs, achieving on-demand business services for users.

Targeting the industry, providing integrated solutions of cloud, data, and intelligence;

Targeting applications, providing one-stop service support for cloud, data, and intelligence;

Resource oriented, providing modular combination arrangement;

Agile business development, fast deployment

The PaaS capabilities provided by H3C CloudOS cloud operating system have been greatly improved, not only providing microservices capabilities for users' modern application architecture, but also accelerating application delivery through agile DevOps methods.

Targeting multimodal applications, providing an integrated support platform for traditional and native applications from research and development to operation

Targeting multidimensional scenarios, providing a combination of container, microservice, and DevOps business capabilities

Targeting diverse services, providing excellent access capabilities for both general and personalized services

Ecological applications, intelligent connectivity

The H3C CloudOS cloud operating system adopts a plug-in open architecture to achieve deep integration of multi industry ecological applications, providing users with richer service capabilities and accelerating customer business innovation.

Targeting users, providing multi industry ecological applications

Business oriented, providing fast response capabilities for applications in different scenarios

Facing partners, providing a good ecological cooperation platform

Autonomous and controllable, safe and reliable

H3C CloudOS cloud operating system has independent patents, algorithms, and code, and can also implement security monitoring of information and systems, effectively ensuring information security and system security.

Master the core technology of the product

Actively participate in the construction of a controllable information security ecosystem

Compatible with mainstream x86 servers and ARM servers, Intel/AMD/Kunpeng CPUs, native operating systems, etc

Self service portal

The self-service portal is a portal for tenants to apply for, use, and manage cloud services on H3C CloudOS cloud and intelligent platform. Through the self-service portal, users can apply for IaaS service resources, application services, big data services, AI services, development and testing services, etc.

Self service portal

Rich directory of cloud services

H3C CloudOS cloud and intelligent platform abstracts IT resources into various cloud services, which users can apply for and use as needed. At present, H3C CloudOS Cloud and Intelligent Platform can provide cloud services including X86 virtual machines, PowerVM virtual machines, cloud hard drives, cloud network drives, cloud firewalls, cloud load balancing, antivirus, cloud networking, cloud databases, public IP addresses, bare metal servers, and other IaaS services; PaaS services such as application repositories, application management, image repositories, application templates, and pipelines; Development and testing services such as project management, code management, and product management; Distributed file systems, NoSQL databases, MPP databases, file services, in memory databases, offline computing, in memory computing, streaming computing, data integration, quality, metadata management, workflow scheduling, data warehousing and other big data services; AI service capabilities such as model storage, model instantiation, training, hyperparameter search, evaluation, inference, and metric monitoring.

Cloud Service Catalog

Mature IaaS service capabilities

The platform provides full stack capabilities from intelligent computing, converged storage, autonomous networking to proactive security services, ensuring that customer business is more reliable, secure, intelligent, and efficient when going to the cloud.

IaaS Service Catalog

Rich PaaS service component support

The cloud platform provides rich PaaS service capabilities, including containers, microservices, DevOps pipelines, and support for various middleware and database services. Through service-oriented delivery and visual operation and maintenance management capabilities, it greatly improves the efficiency of users' use of related service components..

Container Cluster Service

The container cluster service provides support for creating, monitoring, and managing container clusters, simplifying the management of Kubernetes cluster resources. It can dynamically, effectively, and securely create and adjust the underlying resources of Kubernetes clusters, enabling these cloud resources to better serve users. Container clusters can be deployed on bare metal or virtual machines, and can support the management of multiple Kubernetes clusters through a unified cloud platform. It supports docking with multiple container networks through standard CNI interfaces and multiple storage devices such as RBD, NFS, FC, etc. through CSI interfaces.

Distributed Application Services

Distributed application services include application management services, microservice governance, application warehouse services, and application orchestration service capabilities.Application Management ServicesIt has achieved full lifecycle management of applications, adopted industry-leading microservice architecture, and transformed its own services into microservices to ensure high availability. It is an enterprise level application management platform. Application management services simplify application management around application packages, supporting functions such as load balancing, elastic scaling, configuration management, application topology, continuous publishing, and service discovery;Microservice governanceProvides mainstream microservice governance frameworks such as SpringCloud, Dubbo, and service mesh support for Istio. Through the ability of microservice governance, it is possible to perform load balancing, current limiting, circuit breaking, and other operations on running services. Application warehouse services;Application Warehouse ServiceThe Application Repository Service provides a simple and easy-to-use entry point for uploading installation packages, efficient and secure storage, classification management, and application installation package version management capabilities, just like the App Store, to unify the management of enterprise applications. The application repository provides practical management solutions for enterprise users based on project and organizational structure:Application orchestration serviceProvide application orchestration design, application template management, and other functions for users and administrators. Choreography refers to the process of processing container images in a certain order. By defining container images, resource requirements, dependent services, and the relationships (topology) between images, the image itself and the dependent services and resources are fully described, and finally deployed by the platform.

Application Warehouse Service

Application repository service is an application storage service provided to users. Users can upload, download, edit, view, and deploy applications in the application repository as needed; The platform provides private and public application repositories to enable users to store applications on demand while improving application security. The application repository supports unified storage management for containerized and traditional applications, further enhancing the storage capacity of the application repository.

Application repository

Mirror Warehouse Service

Mirror Warehouse Service is a private cloud environment mirror center service developed based on the Harbor project. Users can push, pull, edit, view, and deploy images in the image repository as needed; The platform provides private and public image repositories to enable users to store images on demand while improving image security; At the same time, by adding scanning configurations in the image repository, when pushing images, triggering image scanning to discover security vulnerabilities.

Edit Image

Application Template Service

Application template service is a service capability based on custom YAML that enables quick creation and deployment of applications. After users create templates, they can update, copy, or delete them according to the needs of the application.

Application template creation

Pipeline service

Pipeline services can provide simple and convenient automated CI/CD functions. Through customized pipeline tasks, achieve continuous automation deployment, update and upgrade capabilities. At the same time, it can manage its construction data, support viewing of construction history lists, viewing of the status of a construction process, and deleting construction history operations.

Pipeline configuration

Application Service Instance View

Application service instanceviewIt is a global service view based on application space provided to users. Users can view the service topology of a certain application space or platform based on the service directory, view the call chain of the application, and the governance of a certain application.

Display of Service Governance Rules

Cloud Service Bus

Cloud service bus, also known as service gateway or API gateway, provides interactive access, service aggregation, and open sharing capabilities between the outside world and the system, as well as between systems, through a unified service entrance. The cloud service bus is a critical role in microservice architecture, used to protect, enhance, and control external access to services. It can be said that the service gateway is the entrance to the entire microservice system, the only access point for external services, responsible for handling load balancing, caching, routing, access control, and other aspects of all services. Through the service gateway, unified authentication of microservice systems in business form can be achieved, while ensuring minimal intrusion into business system microservices.

The main functions of the cloud service bus (service gateway) are as follows:

Service Isolation

The service gateway is located between the application (external caller) and the backend service (service provider), isolating and protecting the service. Therefore, the services hidden behind the gateway can abandon tedious peripheral designs such as load, high availability, and access records, and focus on the business logic itself.

Unified access

Each service is exposed to the outside world through a service gateway, which acts as a proxy for multiple services, achieving routing forwarding, filtering, and common processing across all services, enabling capability sharing among services.

protocol conversion

The service gateway supports the integration of traditional applications and cloud native applications, and supports the conversion between WebService protocol and HTTP protocol, so that the backend service code does not need to be modified to provide services to the outside world through the gateway.

Security/Current limiting

The service gateway also provides authentication, secure access control, traffic control, and other functions for services.

Elastic Expansion

The service gateway has achieved high availability architecture deployment and high-performance elastic scalability.

APIPublish and Subscribe

APIVersioning

Real time monitoring service for business operations

Real time business monitoring service, also known as application monitoring management, APM, or application diagnostic service in CloudOS, is a comprehensive monitoring and statistical analysis of system operation status based on the overall health of business applications from a global perspective. It includes infrastructure, microservices, basic middleware, service gateways, links, etc., providing indicator analysis tools for enterprise operation and maintenance personnel. By visualizing the link architecture diagram, the calling status, key data indicators, and execution status between service gateways and applications, as well as between applications, can be displayed in real time to reflect the running status of applications. The collected data can be visualized, visualized, and specific, allowing operation and maintenance personnel to warn and mine abnormal data indicators, achieve decision-making scenarios, and ultimately optimize and improve applications.

Visualize the overall architecture and component operation data of the application, provide management and operation of business application systems in enterprise applications, automatically build their architecture topology diagrams, and visualize business service dependencies on middleware and databases.

Comprehensive monitoring of individual service components: underlying resources, services themselves, and interfaces. Link analysis, providing link tracing analysis of call requests between multiple microservices.

Distributed Log Service

The distributed log service is developed using the mainstream ELK framework, providing real-time log collection, real-time querying, intelligent analysis and visualization, dumping, and other functions, enabling users to perform end-to-end fast, easy-to-use, and rich log analysis. Users can use logs for real-time decision analysis, improve log processing efficiency, and easily cope with daily operations and maintenance scenarios such as real-time log collection, query analysis, etc. without the need for development.

Distributed message queue

Distributed message queues support RabbitMQ, Kafka, and ActiveMQ middleware, providing service-oriented delivery, visual monitoring, and full lifecycle management capabilities through cloud platforms.

Database management software

Database management software is suitable for scenarios with a large number of databases, multiple types, and complex operations in governments or enterprises. By providing various database services in cloud computing environments, it can achieve database operation and maintenance management functions, including resource management, monitoring and alarm, and full lifecycle management functions for relational databases (such as MySQL, PostgreSQL, SeaSQL DRDS, Oracle, SQL Server, Dameng, etc.), NoSQL databases (such as Redis, MongoDB, etc.).

Relational database service

Through database management software, various relational database services can be provided to achieve automated deployment, database management, visual monitoring and management, resource expansion and configuration, and other functions. The supported relational databases include two types: full lifecycle (MySQL, PostgreSQL, SeaSQL DRDS, etc.) and managed (Oracle, SQL Server, Dameng, etc.):

Distributed memory database

Distributed in memory databases are developed based on Redis and provide single machine and cluster service delivery, visual monitoring, and full lifecycle management capabilities through cloud platforms. Cluster deployment supports three creation methods: containerization, virtual machines, or bare metal, to meet the needs of cluster usage in different application scenarios. Redis standalone mode is a single instance, while cluster mode is a dual replica cluster with at least 3 nodes. Nodes within the cluster can synchronize data, and even if a node goes down, it can still provide services to the outside world through its access address without losing data. Redis cluster supports one click scaling and reduction, as well as operations and modifications on components, configuration information, etc.

Cloud based big data services

Cloud based big data services allocate and manage host resources for user applied big data clusters, allowing users to focus only on their own business level, purchase big data services on demand, and provide expansion and contraction functions for big data clusters. Cloud based big data services offer two deployment methods: bare metal and virtualization. Virtual machine deployment is suitable for application scenarios with small data volumes and low performance requirements, improving server resource utilization; Bare metal deployment is suitable for high data volume and high-performance scenarios, enhancing user business capabilities.

Application and Display of Big Data Resources

Unified SQL Service

The big data service provides self-developed Sparrow components and unified SQL access services to the outside world. Big data services are compatible with the universal standard SQL, smoothly transitioning from databases to big data services, improving SQL compatibility, and can be integrated with data sources such as ES, HBase, Hive, etc., reducing the platform's usage threshold; Provide an enhanced unified SQL on Hadoop solution that supports graph computing and machine learning SQL, significantly improving platform usability.

AIResource Management Services

The system provides a comprehensive resource management platform for centralized management of all computing resources. Through this platform, it is possible to query the status of various resources and perform related maintenance operations.

Server resource statistics display

AIJob scheduling service

The system provides a powerful job scheduling engine, offering users various job scheduling strategies such as first in, first out, resource backfilling, fair sharing, job preemption, user loop scheduling, and user job balancing.

Training resource application display

Multi level user role division

According to the requirements of data center cloud business division, H3C CloudOS Cloud and Intelligent Platform divides users into three categories: cloud administrators, tenant administrators, and end-users.

Cloud Administrator

Cloud administrators are responsible for the operation and maintenance of cloud data centers. On the one hand, cloud administrators need to be responsible for the operation and maintenance of cloud data center infrastructure, and on the other hand, they need to take on operational tasks such as tenant management, process management, and billing management. In large cloud data centers, there will be different personnel responsible for cloud operations administrators and cloud operations administrators.

Tenant Administrator

The tenant administrator is responsible for maintaining the tenant's cloud resources, and can manage the organization's cloud hosts, cloud firewalls, cloud hard drives, cloud firewalls, cloud load balancing, cloud databases, etc.

end user

End users, as users of cloud resources, apply for, use, and manage cloud resources through self-service portals. The end user exists within the tenant.

organizational structure

Tenant based resource allocation

Cloud administrators allocate corresponding quotas for CPU, memory, hard disk, network, etc. to tenants based on their size for use. When tenant resources need to be adjusted, cloud administrators can make adjustments as needed.

Cloud administrators allocate cloud resource quotas to tenants

Design of Service Approval Process

For users in government, enterprise, education, and other fields, the use of cloud resources often requires approval. H3C CloudOS cloud and intelligent platform provide comprehensive cloud service application cycle management. Tenants need to apply for cloud resources when using them. After approval by the approver, the cloud resources will be automatically deployed and pushed to the user self-service portal.

Cloud resource application process

Cloud administrators can customize corresponding approval processes for different tenants.

Cloud service approval process

Tenant cloud resource monitoring

Tenant cloud resource monitoring is a monitoring service for various application resources deployed by tenants in cloud data centers. Cloud resource monitoring can monitor various tenant application service resources such as cloud hosts (Windows, Linux), databases (MySQL, Oracle, MS SQL), middleware (Tomcat, Weblogic, Websphere, Glassfish), etc. Cloud resource monitoring can monitor the availability of applications through common network protocols such as HTTP and ICMP, collect monitoring indicators of cloud resources, and set alarms for the above monitoring indicators. With the help of cloud resource monitoring, tenants can have a comprehensive understanding of the resource usage, performance, and operational status of applications on the cloud.

Tenant cloud resource monitoring

Pan ecological cooperation

H3C CloudOS Cloud and Intelligent Platform, as an open cloud business platform, can provide rich REST API interfaces covering various levels of IaaS/PaaS/SaaS, as well as OpenStack compatible APIs for third-party business application development and deployment on H3C CloudOS Cloud and Intelligent Platform.

H3C and Love Numbers Commvault、 Lingyun Power, Yunhe Enmo, Shuteng, Rapu, Jingrong Shuan and other manufacturers have collaborated deeply to create integrated backup, IBM small machine management, database, disaster recovery and other solutions.

H3C Cloudos cloud and intelligent platform supports all products of New H3C and has undergone compatibility testing and verification, including but not limited to servers, switches, wireless, security and other devices.

User Value

ABC Fusion Unified Management Portal for Ultimate User Experience

H3C CloudOS Cloud and Intelligent Platform adopts the latest platform concept, seamlessly integrating AI (A), Big Data (B), and Cloud (C) business platforms, while meeting the needs of customers for different businesses. Daily management of business applications is completed through a unified interface and portal. H3C CloudOS cloud and intelligent platform perfectly solve the problems of fragmented management software, difficult statistics, difficult analysis, and multiple entry points in data centers. It is committed to creating a unified platform for multiple fields and businesses, and pursuing the ultimate user experience.

Improved application management and increased online speed

H3C CloudOS cloud and intelligent platform can unify developers and IT operations personnel on the same platform, making it easy to build, deploy, and manage applications based on infrastructure. At the same time, it enables enterprises to shorten the development cycle and improve the speed of application launch in the process of delivering modern and traditional applications.

Easy access to ecological applications and rapid business innovation

Third party multi industry applications can be integrated according to the specifications of H3C CloudOS cloud and intelligent platform, providing customers with richer service capabilities; At the same time, users can also use this platform to deliver their own applications to their affiliated organizations in a service-oriented manner, thereby improving their business innovation speed.

H3C CloudOS cloud operating system manages traditional IT resources and integrates containers DevOps、 Emerging technologies such as big data and AI have achieved automated delivery of IaaS, PaaS, and SaaS while ensuring cloud security, while also providing a one-stop experience for operational and maintenance functions.

H3C CloudOS cloud operating system

&Notice:

H3C company will make every effort to check for errors in text, images, and printing, but for possible omissions, please confirm with H3C company before placing an order. Product supply and technical specifications are subject to change without prior notice.