As the concept of data continues to dominate the strategic management of organizations, the efficiency of data systems is essential for the achievement of organizational goals. Automated testing is more or less changing the way organizations are verifying the quality, security, and performance of the data they store and process. Automated testing is changing how the testing process is done by providing different, better, and full-proof techniques of validating that a system works as expected.

If you’ve followed SEO developments this year, you’re likely familiar with the buzz surrounding Google’s SEO leak back in March. These revelations have sent ripples through the content marketing industry, reshaping how marketers approach their strategies. At its core, the leak highlights something we’ve all suspected: SEO is evolving, and so must we. Gone are the days when pumping out endless content streams was the key to success.

Unit testing and integration testing are two critical components of the testing process when it comes to ensuring software quality.

Do you believe all the mobile apps you use in daily life are secure? Nowadays, mobile app usage is increasing, and therefore, the types of cyber threats have become essential to focus on security for developers and users. Testing mobile applications for vulnerabilities is complex, especially when dealing with the unique architectures and security models of Android and iOS platforms.

Did you know that the architectural pattern you choose for your iOS app can significantly impact its scalability, performance, and overall success? According to industry surveys, nearly 80% of developers believe that poor architectural decisions lead to issues like code duplication, technical debt, and reduced app performance.

With complex systems, large amounts of dependent users and departments, and intricate integrations involved, enterprise software testing presents a whole new ball game compared to traditional consumer-oriented software.

Looking at the 2024 State of the API Report, it becomes clear that a strong API strategy guarantees better revenue and growth. No matter the exact nature of the framework you’ve adopted to drive success, a crucial chunk of it must consist of understanding the customers. However, the traditional CRM (customer relationship management) systems we see often lack the depth and precision to truly understand customer behavior and product usage.

When discussing the process of testing an API, one of the most common sets of terms you might encounter are “mocks” and “stubs.” These terms are quite ubiquitous, but understanding exactly how they differ from one another – and when each is the correct method for software testing – is critical to building an appropriate test and validation framework. In this blog, we’re going to talk about the differences and similarities between mocks and stubs.

If your BI and analytics tool isn’t powered by Agentic RAG AI, you’re falling behind. Today’s decision-makers and data-driven applications demand more than static dashboards and generic insights—they need a system that evolves with their business and delivers contextually precise, actionable analytics. Enter Logi AI, the intelligence behind Logi Symphony, where Agentic RAG AI revolutionizes how BI empowers users.

In today’s fast-evolving tech world, seamless connectivity between applications and databases is critical, but often comes with challenges such as credential management and environment-specific configurations. Choreo simplifies this process by offering streamlined connection options to Choreo-managed databases, making it easy to integrate components with databases. We’re excited to announce our latest feature: database connections.