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.

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.

Despite the seemingly nonstop conversation surrounding AI, the data suggests that bringing AI into enterprises is still easier said than done. There’s so much potential and plenty of value to be captured — if you have the right models and tools. Implementing advanced AI today requires a solid data foundation as well as a set of solutions, each demanding its own tools and complex infrastructure.

Are you seeking to ensure robust communication between APIs and applications? Contract testing plays a crucial role in ensuring this robust communication. The key lies in the API contract. Serving as a definitive guide, API contracts align expectations, prevent errors, and cement the reliability of software interactions. This article breaks down the ‘how’ and ‘why’ of API contracts, including creation, benefits, and maintenance strategies for developer and consumer success.

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

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.

Written by Noam Wasersprung, Head of Product at ClearML Last month we released the Resource Allocation & Policy Management Center to help teams visualize their compute infrastructure and understand which users have access to what resources. This new feature makes it easy for administrators to visualize their resource policies for enabling workload prioritization across available resources.

Yellowfin 9.12 is an extensive release that incorporates a large number of bug fixes, additional data connectors, and customer requested enhancements. The biggest changes in this release focus on Export and Broadcast capabilities. Yellowfin already boasts exceptional reporting capabilities, and 9.12 adds additional features and performance improvements in this area. Yellowfin also has the ability to connect to just about any source of data.

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.