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Core business scenario

Core business scenario
Build a unified observable platform

While utilizing cloud-native technologies such as K8S, containers, and service meshes to enhance software delivery efficiency, we have established a unified monitoring and observation platform tailored for cloud-native environments. This platform organically integrates various monitoring data and metadata, manages them in a standardized and normalized manner, and forms a unified operation and maintenance data indicator system. This addresses issues such as traditional fragmented monitoring tools not adapting to cloud-native continuous releases and elastic dynamics, ensuring comprehensive monitoring without blind spots and troubleshooting without omissions.

Build a unified observable platform
Build a unified observable platform
SIE R&D Full Life Cycle Management

Establish a unified collaboration process connecting products/projects with development, testing, and operation and maintenance; with projects as the management dimension, provide different project management modes such as Scrum, Kanban, and waterfall, visually track the workflow of version planning, requirement decomposition, research and development execution, continuous testing, and deployment, effectively control key elements such as project progress, cost, quality, and risk, ensuring that each project can be completed in an orderly, controllable, and high-quality manner, maximizing the guarantee of project success.

SIE R&D Full Life Cycle Management
SIE R&D Full Life Cycle Management
End-to-End Requirement Management

SIE permeates the entire lifecycle of the product, encompassing the collection of requirements from both internal and external users of the project, review of requirements, analysis, decomposition, and tracking of development progress.

End-to-End Requirement Management
End-to-End Requirement Management
Flexible Planning and Agile Iteration

Utilize to-do items to plan iterations, visualize and manage team iterations through iteration planning boards, track and manage stories, making work progress or development bottlenecks clear at a glance.

Flexible Planning and Agile Iteration
Flexible Planning and Agile Iteration
Standardize the Code Development Process

Integrating Gitlab as a code hosting repository facilitates code management and maintenance, while intelligently detecting code quality and providing real-time insights into the health of the code in application services.

Standardize the Code Development Process
Standardize the Code Development Process
Automation Test Tracking

Support code quality detection for multiple languages such as Java and NodeJS through rule customization and management. Centralize test activities and provide detailed reports to accurately pinpoint issues.

Automation Test Tracking
Automation Test Tracking
Visualization Application Pipeline

Integrating CI/CD pipeline, it achieves automation of CI/CD process execution and visualization of tasks, and supports the preset of multiple tasks or manual checkpoint tasks, improving delivery efficiency.

Visualization Application Pipeline
Visualization Application Pipeline
Continuous Delivery

Realize containerized deployment across multiple environments with a visual and automated deployment pipeline, bridge continuous integration and deployment, and integrate K8s for unified management and monitoring of environmental resources.

Continuous Delivery
Continuous Delivery
Core business scenario

While utilizing cloud-native technologies such as K8S, containers, and service meshes to enhance software delivery efficiency, we have established a unified monitoring and observation platform tailored for cloud-native environments. This platform organically integrates various monitoring data and metadata, manages them in a standardized and normalized manner, and forms a unified operation and maintenance data indicator system. This addresses issues such as traditional fragmented monitoring tools not adapting to cloud-native continuous releases and elastic dynamics, ensuring comprehensive monitoring without blind spots and troubleshooting without omissions.

Core business scenario
Build a unified observable platform

While utilizing cloud-native technologies such as K8S, containers, and service meshes to enhance software delivery efficiency, we have established a unified monitoring and observation platform tailored for cloud-native environments. This platform organically integrates various monitoring data and metadata, manages them in a standardized and normalized manner, and forms a unified operation and maintenance data indicator system. This addresses issues such as traditional fragmented monitoring tools not adapting to cloud-native continuous releases and elastic dynamics, ensuring comprehensive monitoring without blind spots and troubleshooting without omissions.

SIE R&D Full Life Cycle Management

Establish a unified collaboration process connecting products/projects with development, testing, and operation and maintenance; with projects as the management dimension, provide different project management modes such as Scrum, Kanban, and waterfall, visually track the workflow of version planning, requirement decomposition, research and development execution, continuous testing, and deployment, effectively control key elements such as project progress, cost, quality, and risk, ensuring that each project can be completed in an orderly, controllable, and high-quality manner, maximizing the guarantee of project success.

End-to-End Requirement Management

SIE permeates the entire lifecycle of the product, encompassing the collection of requirements from both internal and external users of the project, review of requirements, analysis, decomposition, and tracking of development progress.

Flexible Planning and Agile Iteration

Utilize to-do items to plan iterations, visualize and manage team iterations through iteration planning boards, track and manage stories, making work progress or development bottlenecks clear at a glance.

Standardize the Code Development Process

Integrating Gitlab as a code hosting repository facilitates code management and maintenance, while intelligently detecting code quality and providing real-time insights into the health of the code in application services.

Automation Test Tracking

Support code quality detection for multiple languages such as Java and NodeJS through rule customization and management. Centralize test activities and provide detailed reports to accurately pinpoint issues.

Visualization Application Pipeline

Integrating CI/CD pipeline, it achieves automation of CI/CD process execution and visualization of tasks, and supports the preset of multiple tasks or manual checkpoint tasks, improving delivery efficiency.

Continuous Delivery

Realize containerized deployment across multiple environments with a visual and automated deployment pipeline, bridge continuous integration and deployment, and integrate K8s for unified management and monitoring of environmental resources.

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