Systems | Development | Analytics | API | Testing

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Building Reliable Software Systems with DoorDash's Saurabh Shanbhag

How do you ensure your software system is reliable from design to deployment? In this episode of Test Case Scenario, Jason Baum and Evelyn Coleman sit down with Saurabh Shanbhag, Software Engineer at DoorDash, to discuss the best approaches for preventing bugs and building reliable systems. Saurabh draws on his experience from Amazon, Uber, and DoorDash to explain how teams can focus on strong initial design, thorough testing, and smart monitoring to keep systems running smoothly.

Why Real-Time Data is Crucial to Developing Generative AI Models

Learn how GEP, an AI-powered supply chain and procurement company, harnesses real-time data streaming through Confluent Cloud to fuel its generative AI solutions. With seamless integration into Azure OpenAI services and GPT models, GEP’s generative AI chatbot delivers document summaries and risk management insights to its customers.

Informatica vs. Integrate.io: A Comprehensive Comparison for Data Integration

Table of Contents In this article, we’ll compare two popular data integration platforms—Informatica and Integrate.io. We’ll explore the key differences between them, focusing on usability, integration capabilities, pricing, scalability, and customer support. By the end, you’ll have a clear understanding of which platform best suits your business’s data integration needs.

Best Testing Practices in Node.js

Testing is a critical aspect of software development, as it ensures your application works as intended and meets quality standards. In Node.js, testing is essential for the early detection of bugs in public endpoints. However, there are many challenges associated with testing in Node. External dependencies, asynchronous operations, and several possible input scenarios make writing tests a daunting task.

The Impact of AI and Machine Learning In Quality Assurance

Some of the popular AI tools people and corporations are using now include ChatGPT, Google Gemini, and Microsoft Copilot. This has resulted in higher usage and adoption of this technology and this has caused some worry among people, particularly in terms of employment. However, for software testers, these changes should be seen as a chance to improve rather than a threat.

How Confluent Fuels Gen AI Chat Models with Real-Time Data

Discover how GEP, an AI-powered procurement company, utilized Confluent's data streaming platform to transform its generative AI capabilities. Integrating real-time data into their AI models enabled GEP to provide a contextual chat-based service. This chatbot allowed GEP customers to build their own tools simply by communicating in English with a chatbot.

Intro to Service Catalog | Kong Konnect

In this video, Miko Bautista, Staff Product Manager at Kong, introduces the Kong Konnect Service Catalog, your ultimate system of record for managing and discovering all the services and APIs running in your infrastructure. The Kong Konnect Service Catalog helps platform teams gain comprehensive visibility into their entire service ecosystem, whether APIs are powered by Kong Gateway or external systems like AWS API Gateway, Kubernetes, or serverless architectures.

How to Quickly Scale Content Marketing with HubSpot's AI Tools

Producing high-quality content on a consistent basis is no small feat. Even seasoned content teams struggle to handle the pressure of churning out work that resonates, converts and ranks (especially with Google’s slew of algorithm updates ). At companies with smaller in-house marketing teams without specialized content professionals? That pressure can feel…crushing.

Insomnia 10.1 Adds New Collection Runner CLI, In-App Invites, and More

As a follow-up to our recent Kong Insomnia v10 release that shipped with an unlimited and free Collection Runner and one week after announcing our official SCIM support for automated user provisioning, we're now excited to announce Insomnia v10.1. This release ships with the general availability of the CLI to use the Collection Runner with CI/CD automation, a new in-app invite wizard that simplifies working with collaborators, and many other improvements.

Overcoming Test Automation Pitfalls: Lessons from Real-World Failures

In today’s fast-paced software development world, automation promises speed, efficiency, and accuracy. However, teams often face several obstacles as they move towards building a successful test automation practice. From choosing the right tools to maintaining scalability, the path can be filled with costly pitfalls if not navigated strategically. In this thought leader discussion, industry veterans Ravi and Ram share insights from decades of experience, covering real-world examples of test automation gone wrong and offering expert advice on how to overcome these challenges.