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What Are Quality Gates?

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.

Tideways 2024.2 Release

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.

Human-Centric Exploratory Testing

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.

3 Strategies to Supercharge Developer Operational Efficiency

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).

Embedded Snowpark Container Services Set RelationalAI's Snowflake Native App on Path for Success

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.

Announcing AI-Powered API Test Generation in Katalon Studio

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.

Improve Your Incident Case Management Process: 5 Strategies for Success

It’s 3 a.m., and your system just went down—again. That’s a nightmare scenario for any IT leader, whether due to a technical glitch or a security incident. This is exactly why incident case management matters. Think of it as air traffic control for your IT environment. Planes in the sky, tickets in the system—both must land safely. Incident case management is about tracking and managing those tickets—incidents—to ensure they get resolved swiftly.

Manage Resource Utilization and Allocation with ClearML

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.

How to Scale RAG and Build More Accurate LLMs

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.

Using Swift as a Backend Technology

Swift is a powerful open source programming language created by Apple in 2014 for the iOS, iPadOS, macOS, watchOS, and tvOS, known for its modern syntax, safety features and fast performance. Designed as a successor to Objective C, Swift has become a hugely popular choice for frontend and mobile app development, and it’s also shaping up to be an excellent choice for server-side development.