Clarifai 使用 Postman Pro 进行 API 开发、测试和支持
公司规模
SME
地区
- America
国家
- United States
产品
- Clarifai Visual Recognition API
- Postman Pro
- Newman
技术栈
- Python
- Go
- Backbone
- React
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Digital Expertise
技术
- 分析与建模 - 机器学习
- 应用基础设施与中间件 - API 集成与管理
适用行业
- Software
适用功能
- 产品研发
- 质量保证
用例
- 视觉质量检测
- 质量预测分析
服务
- 软件设计与工程服务
- 测试与认证
关于客户
Clarifai 是一家人工智能公司，为应用程序开发人员提供视觉识别 API，以创建和训练自己的机器学习模型。该公司于 2013 年在纽约成立，现已发展成为一个由 25 名工程师组成的团队，专注于数据科学、研究、前端和后端开发。Clarifai 拥有 9 个机器学习模型，主要用 Python 和 Go 编写。该公司使用机器学习和深度神经网络来提供跨行业使用的强大图像识别系统。Clarifai 的每位工程师都负责测试自己的代码并为队友完成代码审查。
挑战
Clarifai 是一家人工智能公司，为应用程序开发人员提供视觉识别 API，以创建和训练他们自己的机器学习模型。该公司于 2013 年在纽约成立，使用机器学习和深度神经网络提供跨行业使用的强大图像识别系统。该技术团队已发展到 25 名工程师，专注于数据科学、研究、前端和后端开发。Clarifai 有 9 个机器学习模型，主要用 Python 和 Go 编写。Clarifai 的每位工程师都负责测试自己的代码并为他们的队友完成代码审查。当 Clarifai 的开发人员对新端点有想法时，他们会首先在 Postman 中创建端点。
解决方案
Clarifai 使用 Postman Pro 进行 API 开发、测试和支持。他们在 Postman 中编写测试，以确保他们的响应如预期般返回，并建立概念证明。然后，工程师与团队的其他成员共享 Postman Collection 或文件夹，以根据他们自己的脚本对其进行测试。在发布周期的每一步，Clarifai 都使用共享的 Postman 环境在开发、准备和最终生产中进行有效测试。Clarifai 的主要 Postman Collection 包含 179 个端点。工程师通过跟踪 Postman 团队库中的活动提要来查看端点的更改。这是一种轻松了解其他团队正在开展的工作的方法。如果客户或潜在客户遇到技术问题，销售团队可以进入 Postman 来验证客户看到的内容。他们能够重现问题，而不必依赖工程团队进行诊断。
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