Systems | Development | Analytics | API | Testing

Platform engineering is a software development approach that combines DevOps principles to elevate the developer experience. It focuses on designing and constructing toolchains and workflows that promote self-service capabilities for software engineering teams. By addressing security, compliance, and operational efficiency, platform engineering enables organizations to build robust internal systems tailored to the needs of both developers and operations teams.

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.

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.

You don't need to constantly create new APIs when you wish to link digital assets to your system. A Reusable API give you the power to integrate multiple applications and platforms with ease. This can help you to save time, optimize performance, and make tracking data a much simpler process.

In modern applications, real-time interactions have become the norm. Users demand real-time communication in apps like chat platforms, collaborative tools, live streaming services, and games. WebSocket APIs provide an effective means of creating interactive real-time apps by allowing persistent, bidirectional communication between the client and the server.

In the realm of software development, Application Programming Interfaces (APIs) serve as the backbone for communication between different software systems. As APIs become increasingly integral to modern applications, ensuring their reliability and functionality is paramount. One crucial aspect of this is testing API endpoints thoroughly. In this guide, we’ll delve into API endpoint testing, exploring its importance, best practices, and tools to streamline the process.

The world of software development is undergoing a huge transformation, due to the emergence of artificial intelligence (AI). AI-powered tools and methodologies are reshaping how we write, test, and deploy code, which is making our programming faster, more efficient, and more accessible. In this blog, we’ll explore the concept of code with AI, its applications, benefits, and its potential to redefine the future of technology. So, let’s dive in!

Today’s software testing trends show the growing demand for more efficient and automated API testing. Manual testing is not only time-intensive for internal testing teams, it can also lead to poor customer experiences. When manual testing processes cannot proactively discover issues, your customers may inevitably be the ones finding them. Many of the current test automation solutions today focus on the UI, while most API-level testing is still done manually.