Systems | Development | Analytics | API | Testing

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Test Plan vs Test Strategy: Best Practices, Examples, and Pros & Cons

When it comes to ensuring software quality, having a well-defined Test Plan and Test Strategy is crucial. As a software developer or QA professional, understanding the differences between these two concepts and how to write a Test Plan or execute a test strategy effectively can significantly improve your testing process.

Shift Left: Headless Data Architecture, Part 1

The headless data architecture is an organic emergence of the separation of data storage, management, optimization, and access from the services that write, process, and query it. With this architecture, you can manage your data from a single logical location, including permissions, schema evolution, and table optimizations. And, to top it off, it makes regulatory compliance a lot simpler, because your data resides in one place, instead of being copied around to every processing engine that needs it.

Episode 11: The future of data lakes: Open table formats, metadata and AI | AWS

Paul Meighan, Director of Product Management at AWS, shares how enterprises are increasingly looking for ways to integrate more data sources in their environment — especially with data lakes. From turning S3 buckets into databases to establishing better metadata layers, Meighan explores the rapid evolution of data lakes alongside data warehouses. He also explains the pivotal role AI, ML and GenAI workloads and applications will play in large metadata environments, driving innovative analytics and business insights.

Organizations leveraging SAP Application Testing solutions by Tricentis gain an average of $5.33 million in annual benefits

Companies that stand still in today’s ever-evolving, fast-paced business landscape are at significant risk of losing competitive advantage. Increasingly, high-quality software is playing a vital role in ensuring that organizations are able to innovate, pivot, and adapt to suit the growing demands of their customer base. However, application testing challenges have significantly hindered the pace at which software can be delivered for too long.

Top 5 Tools For Performance Testing: Boost Your Application'S Speed

Performance testing t is a major part of software testing and involves understanding how the software handles expected errors, which is integral to quality assurance. There are multiple free and open-source tools we can discuss in the blog, but let’s start with why we even need performance testing.

The History of Chatbots: A Timeline of Conversational AI

From ancient Greek myths of talking statues to the modern-day Alexa and Siri, the concept of machines capable of understanding and responding to human language has captivated us for centuries. In recent years, this concept has evolved into AI chatbots, highly sophisticated tools that can read our queries and perform tasks ranging from customer service to automated alerts.

Teamwork Drives Early Bug Detection

Is catching bugs before production really possible? @Saurabh Shanbhag from @DoorDash shares insights on how minimizing bugs is a team effort and not just the responsibility of engineers or QA testers. Collaboration across roles is key to ensuring product reliability. Here’s how teams can prevent issues before launch: Watch this episode of Test Case Scenario to learn more about bug prevention strategies that actually work.

AI Adoption in SMBs: Key Trends, Benefits, and Challenges from 100+ Companies

AI Adoption in SMBs: Key Trends, Benefits, and Challenges from 100+ Companies With larger competitors already using AI to streamline operations and gain a competitive edge, SMBs can’t afford to fall behind. But for many, adopting AI is easier said than done. Limited budgets, lack of in-house expertise, and the fear of wasting time and resources on the wrong tools often leave business owners stuck in decision paralysis.