Systems | Development | Analytics | API | Testing

At the latest WWDC, Apple unveiled an exciting new feature: dynamic tinting for app icons. This update calls for developers to adjust their app icons to support this functionality, ensuring a more visually consistent experience across iOS. This change is significant for maintaining a seamless user interface, allowing app icons to adapt to various system-wide themes, including dark mode, and providing a cohesive look throughout the operating system.

Quality gates are just what they sound like: They ensure the delivery of high-quality software by serving as quality milestones (or “gates”) during various stages of the software development lifecycle (SDLC), preventing bad code from passing through. Here, we explain what are quality gates, how they work, and how to implement them using static analysis. Read along or jump ahead to the section that interests you most: Manage Your ci/cd pipeline with Static Analysis.

Modern edge computing is transforming industries including manufacturing, healthcare, transportation, defense, retail, energy, and much more—pushing data management to far-reaching data sources to enable connected, low latency operations and enhanced decision making. These new use cases shift workloads to the left—requiring real-time data streaming and processing at the edge, right where the data is generated.

While cloud computing adoption continues to accelerate due to its tremendous value, it has also become clear that edge computing is better suited for a variety of use cases. Organizations are realizing the benefits of processing data closer to its source, leading to reduced latency, security and compliance benefits, and more efficient bandwidth utilization as well as supporting scenarios where networking has challenging constraints.

This article was originally published on The New Stack on June 10, 2024. Retrieval augmented generation (RAG) has emerged as a leading pattern to combat hallucinations and other inaccuracies that affect large language model content generation. However, RAG needs the right data architecture around it to scale effectively and efficiently.

Get the cake, Tideways is turning ten! Exactly on this day ten years ago, we lifted the veil on Tideways’ predecessor and thus began our exciting journey that continues to this day. We would like to celebrate by presenting interesting new features to you. Summary: Don’t miss out on our webinar that will guide you through these new features, taking place July 3rd starting at 3 pm.

Developer operational efficiency is crucial for streamlining API management processes and empowering development teams to work more effectively. In this blog post, we'll explore three key tips to unlock developer operational efficiency — leveraging API documentation and self-service credential management, automating API lifecycle management, and optimizing resources and performance — using Kong Konnect and Kong Kubernetes Ingress Controller (KIC).

Today, we're pleased to announce another packed release for Kong Insomnia with many new features and improvements.

It's well known that creating API test cases can be time-consuming and repetitive. Manually adjusting web service requests and verification steps is not only tedious but also prone to errors, especially when dealing with complex systems. Today, we’re thrilled to announce a game-changing feature in Katalon Studio that will revolutionize your testing workflow: AI-powered API test generation from OpenAPI/Swagger specifications.

Unlike traditional testing methodologies - that rely heavily on pre-scripted tests and automated tools - Human-Centric Exploratory Testing (HCET) is a dynamic and flexible approach that leverages creativity and critical thinking, allowing interaction with the software in ways that automation simply cannot replicate. Below, we explore Human-Centric Exploratory Testing, its benefits, challenges, how to mitigate them, and the best practices for successfully implementing it.