新澳门2024免费原料
新澳门2024免费原料
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MapGIS CIM Cloud Manager

The MapGIS CIM Cloud Manager seamlessly integrates with virtualization and containerization platforms to achieve unified management and operation of multiple resources. It adopts a tenant mechanism to achieve "hierarchical management and separate maintenance" of cloud GIS resources, providing professional and concise one-stop operation and maintenance management services.

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1.    Adaptation to cloud native GIS environment

●Supports mainstream CPU architectures and domestic chip platforms, including X86, ARM, MIPS, Alpha, LoongArch64, as well as domestic chips such as Feiteng, Kunpeng, Loongson, Shenwei, Zhaoxin, and Haiguang

Supports commonly used Linux operating systems both domestically and internationally, such as RedHat, CentOS, Ubuntu, UOS, Zhongbiao Kirin, Galaxy Kirin, Deeptech, Euler, Zhongke Fangde, Wanli Hong, Hongqi, as well as Windows systems

Support multiple domestic and international cloud platforms such as Huawei and Kubernetes

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2.    Cloud native microservice governance

Build a unified microservice governance center based on cloud native architecture to provide finer-grained microservice management capabilities

Provide GIS microservices for automated deployment, elastic scalability, and operational monitoring

Supports Kubernetes-based container automation orchestration, providing automated container management operations such as deployment, management, and expansion

Supports one-click creation of various GIS sites such as IGServer sites, MapGIS DataStore sites, cloud resource portals, visualization and analysis systems

Support for one-click creation of distributed storage sites such as MongoDB, ZooKeeper, Minio, Citus, PostgreSQL-XL, Nebula, HDFS, ElasticSearch

Support one click deployment of custom containerized applications, by reading container orchestration information and application information from the Yaml file of the application, achieve automated deployment, resource hanging, specification adjustment, scaling and other functions of containerized applications;

Support one click deployment of IGS microservice clusters, providing microservice level functions such as viewing details, modifying images, adjusting specifications, redeployment, dynamic scaling, log viewing, command line operations, etc;

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Support cloud native monitoring, capable of monitoring K8s resources (memory, CPU, Pod, Service, etc.), node resources, tenant resources, MongoDB, PostgreSQL, JVM, URL, GIS microservice instances, and other resources. Use statistical charts to display real-time and historical resource usage, analyze the health status of the environment based on resource occupancy, and provide timely alarm prompts

Provide Helm package for cloud management, supporting Helm deployment

3.    Multi tenant collaboration and resource isolation

Implement sophisticated organization management based on multi-tenant mechanism

Use hierarchical permissions to isolate, allocate and audit resources such as underlying hardware, GIS operations, function menus

Supports a full range of security mechanisms and log systems for more sophisticated management

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4.    Intelligent cluster management

Support on-demand creation of IGServer monolithic stateless clusters and IGServer microservice stateless clusters

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Support elastic scaling, achieve GIS microservice elastic scaling by monitoring CPU, memory and other resource utilization rates

Support service synchronization and load balancing between nodes in the cluster

Support unified operation and maintenance management of microservice instances, providing detailed viewing, image modification, redeployment, specification adjustment, elastic scaling, resource monitoring, deletion and reconstruction, command line, deletion and other operations. Specific microservices can be operated as needed without affecting the entire cluster, providing a more stable cluster environment

Support comprehensive monitoring of microservice instances, including CPU usage, memory usage, network reception, network transmission, real-time network traffic, CPU quotas, memory quotas, and other indicators to help operations and maintenance managers control the health of the cluster

5.    Integrated Resource Management

Support unified storage, separate computing and storage, achieve resource isolation, and can scale independently for resources, including distributed shared storage, cloud managed local storage, application exclusive private storage, database storage, and other modes

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Provide comprehensive site management functions, which can manage various GIS site resources and industry application resources such as IGServer sites, MapGIS DataStore sites, cloud resource portals, visualization and analysis system sites, various databases, custom Docker applications, etc

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Provide unified management of various service resources such as map services, functional services, and extension services, as well as GIS service management functions such as service instance publishing and distributed slicing task management

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Provide service registration, service aggregation, service release and other functions to achieve unified management of multiple service resources

Provide data dictionary, metadata management, resource directory management and other functions to realize cloud resources automatic cataloging and multi-level resource directory tree automatic construction

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6.    High performance map service

Support high-performance vector map services, using multi-level indexing and dynamic rendering technologies to avoid slicing and publishing high-performance vector map services, achieving high concurrency second level browsing and instant updates

Based on distributed database storage of tile data, supporting multi machine distributed parallel slicing, and improving tile slicing performance by adjusting the number of IGS computing nodes

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7.    One stop operation and maintenance monitoring

Supports visual monitoring management interface to monitor service resources and software and hardware operation by means of dashboards, statistical charts, etc.

Integrated GPE framework, support monitoring alarm and statistical analysis, etc., operation and maintenance management is more convenient

Support cloud native monitoring, including K8s overall, cluster nodes, microservice instances, tenants, POD and other resources. By monitoring the real-time usage of CPU, memory, storage and other resources, analyze the health status of the environment

Fully integrated with the open-source Prometheus ecosystem, providing diverse component monitoring, out of the box pre installed monitoring disks, and fully hosted Prometheus services

Support MapGIS Cloud Manager to create or register site resource monitoring, including IGS individual application nodes, IGS microservice stateless clusters, custom host resources, database hosts, custom URL addresses, and other resource monitoring

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Support monitoring of databases such as MongoDB and PostgreSQL

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By utilizing K8s to provide infrastructure monitoring functionality, the main focus is on monitoring the usage of K8s resources (memory, CPU, Pod, Service, etc.), microservice clusters, node resources, tenant resources, MongoDB, PostgreSQL, JVM, URL, GIS microservice instances, and other resources

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Provide multiple business indicator monitoring, support the collection and visualization display of indicators such as GIS resources, GIS service instances, and online users

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Support intelligent alarms, set multiple alarm rules according to different alarm types, including node status CPU、 Various rules such as memory, disk, network card, etc. When these rules are triggered, an alert notification will be sent via email, which records all abnormal operations in the database and helps operations and maintenance personnel identify and resolve the issue


8.    Safety Management

Provide basic user management, tenant management, role management, tenant packages, menu management, etc. Users and roles can be created and associated to facilitate unified management of users and roles

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Provide a unified security configuration page where account expiration time can be set uniformly, and account locking and automatic unlocking can be set based on the limit of consecutive login failures to prevent brute force cracking

Provide token management, with the system administrator enabling token authentication. For tenant users with permissions, they can obtain tokens and access restricted resources. Provide various access policies such as token, token IP, token Refer, etc

The system provides multiple login configuration methods, including CAS login, LDAP login, and third-party login


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Contact 新澳门2024免费原料

Wuhan Zondy(Headquarters)

13476014668

598 Guanshan Avenue, Donghu New Technology Development Zone, Wuhan City

Beijing Zondy(Representative office)

15588898696

Room 3515-14, Jingguang Center Office Building, Hujialou, Chaoyang District, Beijing

Hunan Zondy(Representative office)

13607498580

808, Building A, Tianxin Software Industrial Park, Changsha City

Shaanxi Zondy(Representative office)

17792410934

Room 2914, Building A1, Jinye Times, Yanta District, Xi'an City, Shaanxi Province

Chengdu Zondy

13908038150

506 Guliu Jingong, Fudi Financial Island, Jinjiang District, Chengdu City

Shenzhen Zondy

0755-26551638

A1001 Zhongdi Digital Building, Keyuan South Road, High tech Zone, Nanshan District, Shenzhen

新澳门2024免费原料

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