Systems | Development | Analytics | API | Testing

Functional testing is a type of software testing that validates web or mobile applications against pre-determined specifications and requirements. The goal is to ensure that the software performs as expected by both developers and end-users. Functional testers aim to emulate real-world scenarios and user pathways, testing not only for functionality but also for non-functionality, such as how the app behaves in airplane mode or when a video buffers.

Many organizations face the challenge of legacy application modernization. DreamFactory, an on-premise API generation and management platform, offers a robust solution for this transition. By enabling the creation of APIs from any data source, automating integration processes, and enhancing security measures, DreamFactory simplifies the modernization of outdated systems.

Dive into the world of seamless CI/CD workflows and take your release management process to a level of efficiency your team can’t achieve on their own. Streamline your releases with Release Management.

Why forward-thinking organizations are turning to a data mesh architecture.

Data forms the foundation of the modern insurance industry, where every operation relies on digitized systems, including risk assessment, policy underwriting, customer service, and regulatory compliance. Given this reliance, insurance companies must process and manage data effectively to gain valuable insight, mitigate risks, and streamline operations.

Confluent has published official Docker containers for many years. They are the basis for deploying a cluster in Kubernetes using Confluent for Kubernetes (CFK), and one of the underpinning technologies behind Confluent Cloud. For testing, containers are convenient for quickly spinning up a local cluster with all the components required, such as Confluent Schema Registry or Confluent Control Center.

Test automation is an essential component in today's software development landscape, where speed and quality are critical. It ensures the timely delivery of high-quality software by automating repetitive and time-consuming testing tasks. However, the journey to effective test automation comes with challenges such as selecting the right tools, managing complex test cases, and enabling seamless integration of testing into the software development lifecycle.

Legacy security information and event management (SIEM) solutions, like Splunk, are powerful tools for managing and analyzing machine-generated data. They have become indispensable for organizations worldwide, particularly for security teams. But as much as security operation center (SOC) analysts have come to rely on solutions like Splunk, there is one complaint that comes up for some: Costs can quickly add up.