Systems | Development | Analytics | API | Testing

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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.

Generative AI: The New Age of Document Processing

What do you think of when you think of generative AI? Generating photos, animations, and videos? Coding and solving math problems? Writing content and brainstorming with a chatbot? These have all driven plenty of excitement around AI, but there’s so much more to it than that! From an enterprise perspective, Generative AI’s impact on intelligent document processing technology is remarkable.

Everything You Need to Know about RAG

Retrieval-augmented generation (RAG) is gaining traction, and for good reason. As businesses and AI experts search for more intelligent ways to process information, RAG combines the best of both worlds, i.e., the vast knowledge of retrieval systems and the creative power of generation models. But what exactly is RAG, and why is everyone talking about it?

Getting Started with Countly's Desktop SDK Integrations

In an era dominated by mobile apps, desktop applications remain vital across numerous industries. From gaming to enterprise solutions, tracking desktop app performance, user behavior, and feedback is crucial. While mobile tracking is a well-established practice, companies also need to pay more attention to the importance of desktop tracking. Despite the importance of desktop applications, many analytics platforms remain heavily focused on mobile tracking.

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.

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.

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.

A friendly introduction to PHP testing

In the last few years, there has been a lot of movement around new and exciting PHP testing tools. While this is great news, stepping back a little and understanding the underlying concepts before jumping in is vital to writing great PHP tests. When we talk about testing tools and methodologies, we're referring to automated testing tools. Writing code that tests your PHP apps is a great way to build confidence that your application will behave as you expect.

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.

gRPC vs. REST: Key Similarities and Differences

If you’re at all familiar with APIs, you know that REST APIs are the main API used, particularly when it comes to microservices and their applications. gRPC is a high-performance, binary, and strongly-typed protocol using HTTP/2, while REST is a simpler, text-based, and stateless protocol using HTTP with JSON/XML.