Systems | Development | Analytics | API | Testing

June 2024

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).

Databricks: Achieve performance and reliability with purpose-built AI

88% of Databricks users surveyed are turning to AI to improve bug-fixing effectiveness (Databricks). Why? Troubleshooting modern data stacks is typically a toilsome and manual process. The good news – data teams that use DataOps practices and tools will be 10 times more productive (Gartner). With this in mind, Unravel is hosting this live event to demonstrate how AI-enabled observability for Databricks’ Data Intelligence Platform helps you proactively achieve performance and reliability.

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.

Enhance User Scalability and Response Time | Cigniti's Cloud Performance Testing Services

A prominent utility provider faced challenges with client-facing applications, requiring assessing system capabilities under significant loads. Accommodating 50,000 concurrent users within an infrastructure reliant on SQL and IIS, the need for a robust yet cost-effective load-generation setup became paramount.

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.

Risk Mitigation through Generative AI: Safeguarding Revenue against Fraud and Cybersecurity Threats

In today’s digital age, businesses face an ever-increasing array of risks, particularly fraud and cybersecurity threats. McKinsey states, “Cyberattacks will cause $10.5 trillion a year in damage by 2025.” That’s a 300% increase from 2015 levels. These risks can significantly impact a company’s bottom line, reputation, and customer trust.

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.

The Rise of Digital Printing Companies: Transforming the Printing Industry

Digital printing companies are revolutionizing the printing industry by offering high-quality, efficient, and cost-effective printing solutions. This article explores the concept of digital printing, the benefits of working with digital printing company, the technology involved, and the diverse applications across various sectors.

OpenTelemetry in N|Solid

N|Solid Runtime, the OSS runtime that powers N|Solid Pro, is an innovative, lightweight runtime for Node.js applications. It offers real-time insights into performance, memory usage, and CPU consumption, giving developers unparalleled visibility into their code without requiring any modifications. In today’s software landscape, understanding your application's production behavior is crucial. With cloud-native architectures, microservices, and distributed systems, pinpointing issues is challenging.

Deploy a Python FastAPI Application to Render

In the world of Python frameworks, FastAPI is the new kid on the block and a great choice for building APIs. Equally, Render is a good option for developers who want to quickly test their applications in a production environment for free. In this post, we'll run through how to deploy a FastAPI app to Render. First, though, let's explore why FastAPI and Render are often chosen by developers.