Using in Zadig

Zadig is a self-service cloud-native DevOps platform developed by KodeRover based on Kubernetes, with 100% open-source code. Zadig offers flexible and scalable workflow support, multiple release strategy orchestration, one-click security auditing, and other features. The platform also supports customizable enterprise-level XOps agile performance dashboards, deeply integrates with various enterprise-grade platforms, and enables rapid batch integration through project templates, providing one-click governance for thousands of services. Its main goal is to help enterprises achieve digital transformation in product and research, turning engineers into innovation engines and supporting the endless value connection of the digital economy.

This article mainly explains how to use the DeepSeek model provided by SiliconCloud for AI environment inspection and AI performance inspection on Zadig.

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Install Zadig

• Quick trial based on host
• Official operation based on k8s

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Obtain API Key

• Visit the SiliconCloud official website and register an account (if you have already registered, simply log in).
• After registration, open API Keys, create a new API Key, and click to copy the key for future use.

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Configure SiliconCloud Model

In Zadig, go to System Settings -> System Integration -> AI Services, and add the AI service.

1. Provider: Choose SiliconCloud
2. Model Name: Enter the model provided by SiliconCloud
3. Access URL: https://api.siliconflow.cn/v1
4. API Key: The API Key obtained in the previous step

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Using the Model Service

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AI Environment Inspection

With AI capabilities, you can comprehensively analyze and identify issues within the Kubernetes (K8s) environment, such as pod abnormalities and configuration errors. It also provides solutions, and by setting up a timer and IM notifications, you can implement periodic inspections to send the identified issues and solutions to the respective responsible parties in a timely manner.

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AI Performance Insights

Based on the performance data generated in Zadig, AI-assisted analysis can accurately pinpoint performance issues within the project and provide improvement suggestions. Compared to traditional methods, which may require manual analysis of large amounts of data, AI can automatically generate reports in a much shorter time.