Systems | Development | Analytics | API | Testing

Far from being a mere byproduct, data is a hidden gem for any organization. While it's often seen as a technical hurdle, data is actually a powerful business tool. To stay ahead of the curve, companies need to transform into information-driven powerhouses that leverage data as the bedrock of strategic decisions. By recognizing the value of their data and fostering a culture of open information exchange, organizations can unlock a wealth of potential for improvement.

The managed IT services is evolving at a breakneck pace, driven by complexity and constant change. As highlighted in Gartner’s 2024 Hype Cycle for Managed IT Services, several emerging trends and innovations are set to transform the landscape. For leaders in sourcing, procurement, and vendor management, understanding these developments is crucial for strategic planning. This blog post explores key innovations in managed IT services, providing examples and insights relevant to our work at Testhouse.

APIs (Application Programming Interfaces) are rapidly evolving, with companies like us increasingly leveraging generative AI to create and consume APIs. In Gartner’s 2024 Hype Cycle for APIs, several key trends and innovations are highlighted that software engineering leaders and their teams should be aware of. From the rise of event-driven APIs to the challenges of API security, this blog post will explore the most significant developments in the API landscape.

Welcome back to our exploration of Node.js' built-in test runner! In the previous article, we laid the groundwork for writing and running basic tests in your projects by exploring a few simple examples. In this installment, we'll dive into practical examples of how to use mocking, code coverage analysis, test hooks, and strategies for testing HTTP servers. These tools will help you write more comprehensive and reliable tests, ultimately leading to more robust Node.js applications. Let's get started!

A predictable, stable environment (in terms of your operating system, system libraries, build tools, and programming libraries) is essential to each development step: from onboarding, to collaboration, continuous integration, quality assurance, and deployment. Deviation can cause one-off, intermittent, and even catastrophic failures. However, consistency can be elusive, even with the best intentions, best practices, and tools in place, because: Nix aims to solve some of these issues.

In the fast-paced and highly competitive business world, we live in today, it’s no longer enough to simply offer a good product or service. To truly stand out from the crowd, businesses need to go above and beyond by providing exceptional customer service. Why customer service is important? Because customer service is the secret ingredient that can make or break a business. It’s the intangible factor that leaves a lasting impression on people’s minds and hearts.

Today, enterprises experience great pressure of increasing the number of integrations and customization which in turn, subsequently raises the necessity to implement effective QA systems that will assure scalability and maintainability. Salesforce can be described as one of the most popular CRM systems that assist sales, marketing, commerce, service, and IT departments engage with customers and drive key business information.

Welcome to the latest entry in Yellowfin Japan’s ‘How to?’ blog series! This series of blogs aims to provide your team with another hands-on example of adding data visualization to your Yellowfin dashboards, using our array of chart and graph types. In our previous blog, we created a heat grid by aggregating on the basis of Day of Week and Time of Day. By sorting the axes of the chart, we were able to create an easy-to-read chart lined up from Sunday to Saturday and from 0:00 to 23:00.

Over the past several years, data leaders asked many questions about where they should keep their data and what architecture they should implement to serve an incredible breadth of analytic use cases. Vendors with proprietary formats and query engines made their pitches, and over the years the market listened, and data leaders made their decisions.

The high-stakes world of software development is a race to deliver quality features, faster. When the testing phase of the development lifecycle is slowed by inefficient and error-prone processes, it’s impossible for teams to meet their deadlines. How can they keep up? By taking a smarter approach to test management that prioritizes efficiency without sacrificing quality. By implementing these four test management strategies, teams can work smarter and shorten their release cycles.