DevOps tool chain-devops R&D-devops automated development and operation integrated platform-Zhenzhi Technology

Are you facing these challenges?

Low development collaboration efficiency

Code branch management is chaotic, cross-team collaboration information is asymmetric, and quality checkpoints are difficult to close.

Insufficient testing performance

Test case management is decentralized, defect response and repair cycles are long, and automation coverage is low.

Low level of deployment automation

Relying on manual operations is prone to errors, resulting in low efficiency in host/container resource configuration and high release risks.

Unified pipeline management

: Flexible template configuration
Provides flexible pipeline templates to adapt to various technical scenarios and support rapid configuration and reuse
Automatic triggering of the entire process
Integrate Jenkins + GitLab-CI dual engines to automatically trigger tasks, reduce human intervention, and improve efficiency
Distributed task collaboration
Implement distributed task management and flexibly handle multi-team collaboration in complex scenarios

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Automated deployment and expansion

: Multi-strategy deployment support
Supports multiple deployment strategies (single-line, parallel, etc.) to ensure a safe and stable release process
Efficient configuration rules
Configurable deployment rules make repeated execution and multi-stage deployment more efficient
Intelligent resource scheduling
Automated resource scheduling, reasonable allocation of computing and storage resources, and reduced operation and maintenance costs

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Seamless integration with project management processes

: Demand-driven development
The task and demand management systems are connected, automatically linking the development, testing and deployment links to achieve closed-loop management
Transparent state synchronization
Key information such as development progress, build status, and deployment results are synchronized to the project management platform in real time to improve team collaboration efficiency.
Data-driven decision making
Combined with project management data, it provides analysis of delivery cycle, resource utilization, etc., to help accurately plan and optimize the development process

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01.

Code hosting

Centrally store code to ensure security and traceability, and facilitate team collaboration and version management
02.

Branch Management

Flexible management of development branches, support for multi-person parallel development, and effectively reduce code conflicts
03.

Version Management

Accurately record code change history, easily backtrack and restore, and ensure an orderly and controllable development process
04.

Continuous Integration

Automated code building and testing to quickly identify problems and shorten development iteration cycles
05.

Use Case Library

Centrally manage test cases, support reuse and version tracking, and improve test coverage and efficiency
06.

Defect Management

Clearly record and track problems, intuitively display repair progress, and ensure stable product quality
07.

Test Report

Multi-dimensional data presents test results, quickly locates problem points, and helps optimize the development process
08.

Cluster Management

Efficiently configure and monitor resource pools, flexibly expand computing capabilities, and meet complex scenario requirements
09.

Resource Management

Dynamically allocate resources, optimize utilization, and ensure efficient operation of development, testing, and deployment environments
10.

Continuous Delivery

Automatically deploy code to the production environment to ensure a stable and efficient product delivery experience

Solution Advantages

Accelerate R&D cycle

Reduce manual processes, increase automation, and shorten delivery times
Improve delivery quality

Integrate quality analysis, defect management, and performance testing to ensure the reliability of final delivery
Reduce operation and maintenance costs

Flexible resource management and health check functions reduce human errors and optimize overall resource utilization
Full-process observability

Provides end-to-end tracking capabilities from code submission to production deployment, real-time monitoring of pipeline status and logs, and rapid identification of bottlenecks
Strong ecological compatibility

Seamlessly connect to mainstream open source tools (such as K8S, Jenkins, and GitLab), compatible with the company's existing technology stack, and reduce migration costs
Enhance collaborative efficiency

Open up full-link collaboration in development, testing, and operation and maintenance to improve team response speed and problem-solving efficiency.