In this Kongcast episode, Danielle Dias, Software Engineer at Just Eat Takeaway.com, talks about how her team creates a seamless customer experience by using Kong Gateway for rate limiting, monitoring, alerting, and more. Check out the transcript and video from our conversation below, and be sure to subscribe to get email alerts for the latest new episodes.

When it comes to software development, the ultimate goal is to deliver a product that meets customer requirements, functions flawlessly, and provides a seamless user experience. Achieving this requires a well-structured testing process that includes various stages, one of which is the test case review. Test case reviews play a vital role in validating the effectiveness and thoroughness of the test cases.

In software testing, a test plan is a must-have. A well-defined and comprehensive test plan provides all stakeholders involved with necessary information of the testing roadmap. Through it all members gain a shared vision for the testing approaches, strategies, objectives, resources, and timelines. In this article, we will deep-dive into what a test plan is, why it is so important, and how to create a good test plan that truly improves the overall efficiency of your testing activities.

Software development is a complex process that involves a variety of activities, including design, development, testing, and deployment. Among these, testing is one of the most critical phases, as it ensures that the software product meets the desired quality standards and functions as intended.

Discover best practices for creating well-defined test scenarios to improve test coverage for your apps.

The realm of mobile devices has evolved beyond conventional smartphones and tablets, delving into the fascinating domains of wearable technology and IoT devices. As the landscape of mobile technology broadens, the significance of mobile analytics has surged. Here at Countly, we appreciate the power of these analytics to provide businesses with insights into user experiences, enabling data-driven decision-making and continuous refinement of our offerings.

Using data to make decisions is actually really hard. Yet nearly every tech company, business, and team touts “data-driven” as the de-facto way that they operate. In practice, this intention to be data-led is often just aspirational—only about a quarter of organizations report that they are actually data-driven, according to Harvard Business Review. It’s easy to see why organizations strive to more effectively use their data.

In today's evolving technological landscape, enterprises are under increasing pressure to deliver high-quality software at an accelerated pace. Internal Developer Platforms (IDPs) provide a centralized developer portal that empowers developers with self-service capabilities, standardized development environments, and automation tools to accelerate the software development lifecycle.

In today’s fast-paced and competitive business environment, ensuring high-quality software applications has become a critical success factor for enterprises. To achieve this, they are incorporating DevOps practices to accelerate their software development and Continuous Testing practices to test early and often to provide quality software.

Advances in medical robotics and healthcare technology — enabled by the Internet of Medical Things (IoMT), Machine Learning (ML), and Artificial Intelligence (AI) — mean that we are already seeing less invasive procedures, more accurate diagnoses, and more personalized treatment options for patients. But all these innovations depend on software which brings increased safety and security risks.