Systems | Development | Analytics | API | Testing

How to Write a PRD: Your Complete Guide to Product Requirements Documents

A Product Requirements Document (PRD) articulates the purpose, features, and functionality of a product. It is a blueprint for development teams to understand: While the exhaustive PRDs of the past are less common in today's Agile landscape, their core function remains the same: to align all stakeholders so that everyone from product managers to developers and testers shares a common vision.

University of Kent Enhances Digital Resilience and Data Availability with Hitachi Vantara Data Platform

Integrated solution powered by Hitachi Vantara VSP One data platform provides 80% faster recovery and 95% faster backup, delivering always-on services and sustainable IT supported by Trustmarque for 17,000 students and researchers.

Now Available: AI Test Planner - Rainforest Crawls Your App to Deliver a Ready-to-Use Test Plan

Before you can test software, you need to know what to test. That’s where many QA teams stall out. They don’t have the right software testing tools for mapping the app, identifying user paths, and determining testing priorities. So, building a test plan can take days (or more) of manual work. It’s often slow, frustrating, and error-prone.

How to Build an Internal Chargeback Model for Your API and AI Usage Using Moesif

API and AI services now sit at the heart of modern products. However, the more we use them, the harder it seems to become to account for the budget. Launching an AI product often leads to massive end-of-period bills. This requires attributing costs to the key internal power users and consumption drivers. The challenge is identifying the departments, products, or projects responsible for the consumption, and the extent to which they contribute.

How to Leverage Moesif Effectively for API Observability

You can make your API observability posture more powerful and beneficial by treating Moesif as an engineering implement. The platform automatically captures API traffic out-of-the-box and provides actionable analytics and visualizations. However, the degrees to which they precisely and empirically illustrate the data, depend on where and how you’ve integrated Moesif.

Empowering the Data Streaming Ecosystem: Evolving Confluent Hub to Confluent Marketplace

Today marks a monumental step in our commitment to fueling the growth, reach, and impact of our global partner network. We’re thrilled to announce the official launch of Confluent Marketplace (formerly Confluent Hub), a centralized resource designed to accelerate innovation, drive connectivity, and dramatically simplify the developer experience within the data streaming landscape. For years, integration engineers have been the quiet force behind the modern digital world.

What should large teams be especially mindful of when adopting a tool like TrueTest?

Large teams should focus on leveraging Katalon’s professional services to accelerate ROI, because experts can reduce months of learning into weeks and get teams productive within days. With built-in best practices and hands-on onboarding, teams quickly gain the expertise needed to adopt TrueTest effectively. — Mush Honda, Chief Quality Architect at Katalon Follow Katalon for more insights in our series!

How multimodal AI is reshaping software testing

Picture this: You’re creating test cases for a new feature. You have a Jira ticket with text requirements, a Figma mockup from design, a workflow diagram from the architect, and a screenshot from a stakeholder meeting. Traditionally, you’d manually translate all of this into test steps: describing the UI in words, interpreting the diagram, cross-referencing the mockup. But what if your testing tool could “see and “understand” all these artifacts directly, just like you do?

AI-powered test optimization with Tricentis Testim and SeaLights

If you find that your team is struggling to get releases out the door, it could be inefficient testing practices. Oftentimes, software teams don’t know what their tests actually cover, or which tests are relevant after each code change — so they run everything. This means spending hours executing full test suites for minor updates or burning through CI/CD resources while bugs slip through untested paths. On top of this, software is always becoming more complex.

AI And Real-World Data: A New Era For Identifying And Curing Rare Diseases

In this episode of the "Data Cloud Podcast," Dana Gardner is joined by Chandi Kodthiwada, Vice President of Product Management at Komodo Health, to explore how Komodo Health utilizes vast and disparate data sources to generate unprecedented insights in life sciences and healthcare. They discuss the founding mission of Komodo Health, the challenges of building a comprehensive, de-identified data set, and AI’s role in reducing the burden of disease and improving patient outcomes.