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。
运营影响
数量效益
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Infosys achieves a 5–7 percent effort reduction across projects
Infosys, a global leader in consulting, technology, and outsourcing solutions, was facing significant challenges in application development and maintenance due to its distributed teams, changing business priorities and the need to stay in alignment with customer needs. The company used a mix of open source, home-grown and third-party applications to support application development projects. However, challenges resulting from distributed teams using manual processes increased as the company grew. It became more and more important for Infosys to execute its projects efficiently, so they could improve quality, reduce defects and minimize delays.
Case Study
Arctic Wolf Envelops Teamworks with 24x7 Cybersecurity Protection and Comprehensive Visibility
Teamworks, a leading athlete engagement platform, faced rising cyberthreats and needed enhanced visibility into its network, servers, and laptops. With software developers connecting from all over the world, the company sought to improve its security posture and position itself for future growth. The company had a secure platform but recognized the need for a more proactive solution to identify gaps within its technology infrastructure. Data exfiltration and malicious access were top concerns, prompting the need for a comprehensive security upgrade.
Case Study
Sawback IT and Datto Save Client From a Costly Mistake
Ballistic Echo, a software development house, faced a critical challenge when human error led to the deletion of thousands of lines of unique code. This incident occurred before the code was pushed to source control, resulting in significant loss of time, revenue, and work. The previous file-level backup solution they used was slow and inefficient, making it nearly impossible to manually recreate the lost work. The need for a more reliable and efficient business continuity solution became evident to avoid such disasters in the future.
Case Study
Opal Helps Customers Shine Thanks to Datto
SP Flooring & Design Center faced a ransomware attack that encrypted and locked their files. The attack was initiated through a compromised service account set up by an outside vendor. The ransomware infection was isolated quickly, but there was a concern about the extent of the data at risk. The company had backups in place but was unsure of how much information was compromised. The situation required immediate action to prevent further damage and restore the affected data.
Case Study
Zapier Aggregates Multiple Analytics in a Single Dashboard with the New Relic Platform
Zapier, a company that enables non-technical users to push data between hundreds of web applications, was facing a challenge in automating and provisioning servers for optimal performance. The company's environment consisted of 50 Linux servers on the Amazon Elastic Compute Cloud (EC2), a Django application split across several servers, and a backend consisting of a dynamic number of celery task workers fed by messages published to a RabbitMQ cluster. They also maintained a number of internal web services on nginx in front of Gunicorn and Node.js processes. Redis handled simple key and value stores, with logging handled by Graylog2 and ElasticSearch. However, they realized that no level of automation would be sufficient without an effective monitoring solution in place. They needed a tool that could provide immediate alerts when something was breaking and could be easily implemented into their environment.
Case Study
Pipeline Insight Case Study: YARCDATA
YarcData faced challenges in determining the conversion rates of prospects into customers through various marketing efforts and identifying the source of its leads. They wanted to know the percentage of opportunities in the sales pipeline that came from different marketing events, web downloads, or self-sourced sales opportunities. Additionally, they needed the ability to drill down into the data to guide where to allocate more marketing dollars based on the success of previous efforts. Previously, YarcData relied heavily on spreadsheets and Salesforce.com reports, which made it difficult to extract the exact information they needed. This reliance on spreadsheets represented about 70% of their data presentation.
