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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.

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.

Mastering Your API Contract: A Guide to Establishing Clear Guidelines and Expectations

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.

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.

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.

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.

Countly 24.05 Release: What's New and Improved

Countly 24.05 is here, bringing many updates and enhancements to your favorite product analytics platform. In this article, we'll cover some of the most significant changes, including the introduction of Profile Groups, the revamped Alerts 2.0, redesigned Feedback Widgets, a strategic new Data Populator, and Date Picker Presets. Prefer watching instead of reading? Watch our YouTube video Countly 24.05.

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.