SmartBear is thrilled to announce our acquisition of QMetry, a leader in AI-enhanced test management solutions, into the family. This merger is not merely about expanding our already robust solutions—it’s about revolutionizing the delivery of software quality across industries. In today’s fast-paced tech landscape, addressing software quality issues is critical; they can significantly impact customer satisfaction and financial growth, while flattening the quality cost curve.

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments. Despite various architectural patterns and paradigms, they still end up with perpetual “data puddles” and silos in many non-interoperable data formats.

It would be amazing if everything in the digital world happened instantly. Unfortunately, we don’t live in an ideal world, and most of the time we need to wait for things to happen. From loading a dynamic web page to processing data, even the best implementations can have delays. Some delays happen because of the time it takes to process and transfer data. Other delays are intentional and enable applications to present visuals or data more elegantly.

The sed command in Linux is a stream editor and a versatile text-processing tool. It allows users to efficiently transform text by parsing and modifying data from files or input streams. Whether you need to replace words, remove lines, or handle patterns, sed simplifies repetitive tasks and boosts productivity. In this blog, we will explore the basics of sed command, understand its syntax, and share practical examples to show how it makes text processing easier.

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Local preview environments are transforming how developers test and validate code changes before merging them into the main codebase. Acting as temporary cloud environments, they provide a production-like setting where new features and bug fixes can be tested in isolation, catching issues early and streamlining the development code review process. These environments are crucial for enhancing development velocity, especially in CI/CD workflows used by DevOps engineers and QA teams.

Underwriting management is a delicate balance of speed and accuracy. If the underwriting ingestion and decision process is too slow, insurance companies risk losing customers to competitors. On the other hand, hasty underwriting decisions can lead to unprofitable risks in the portfolio. To tackle these challenges, many insurance companies have undergone modernization initiatives.