Systems | Development | Analytics | API | Testing

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Future of Testing IoT & AI Systems | Security Testing Skills | Jon Hagar #securitytesting #ai #iot

Embark on a thrilling exploration of the future with Jon Duncan Hagar in his talk, "The Exciting Future of Testing IoT & AI Systems Using V&V, Security Hacks, & Data Analytics." As the realms of the Internet of Things (IoT) and Artificial Intelligence (AI) continue to captivate the world, Jon delves into the crucial intersection of these cutting-edge technologies and the world of testing.

Qlik announces support with Cloud Data Integration for Microsoft Fabric

With ever increasing data complexity, sources, and targets, enterprises are rightly trying to simplify their data stacks and workflows. Organizations want to build out their data fabrics with elements that work together, rather than spend time integrating various solutions.

Tackling Data Sprawl & Mitigating Risks: The Data Dynamics Connection

In today’s fast-paced world, businesses face the challenge of managing the ever-expanding volume of data at their disposal, an issue that often hinders their ability to derive the critical and accurate insights they need to thrive and stay competitive. Driven by the monumental rise of generative AI, cloud services, remote work, and IoT devices, most organizations expect their data to double by 2025.

The Importance of a System for Code-based Testing

Welcome to Test Case Scenario! In this episode, join our host Jason Baum, and panelists from Sauce Labs as they discuss the report about “Developers Behaving Badly,” what are these so-called bad behaviors, why is this happening, and what are its implications? In this insightful discussion, our host is joined by Evelyn and Titus as they share not only their perspective about these “bad behaviors,” but the possible underlying reasons for it and things we can look forward to in the future of coding and the rise of AI.

The Importance and Benefits of a Data Pipeline

The term 'data pipeline' is everywhere in data engineering and analytics, yet its complexity is often understated. As businesses gain large volumes of data, understanding, processing, and leveraging this data has never been more critical. A data pipeline is the architectural backbone that makes data usable, actionable, and valuable. It's the engineering marvel that transforms raw data into insights, driving decisions and strategies that shape the future of enterprises.

Tightening Bearer Token Authentication with Proof-of-Possession Tokens Using Kong

In token-based architecture, tokens represent the client’s entitlement to access protected resources. Access tokens (or bearer tokens as they're commonly known) are issued by authorization servers after successful user authentication. The tokens are passed as credentials in the request to the target APIs which inform the API that the bearer of the token is authorized to access the API and perform certain actions.

What is Katalon TestCloud? Key Strengths, Use Cases, and Best Practices

Today, efficient and scalable testing solutions are crucial. As applications grow in complexity and the frequency of releases increases, the need for a more robust, automated, and integrated testing framework becomes critical. To meet these challenges, we created Katalon TestCloud, a cloud-hosted solution that delivers on-demand, flexible, and secure multi-browser/platform and mobile testing environments.

Handle Incoming Webhooks with LiteJob for Ruby on Rails

In parts one and two of this series, we only dealt with the pure CRUD aspects of using SQLite as a production database. In this post, we will explore the world of queue mechanisms, using SQLite as the pub/sub adapter for ActiveJob. Let's make use of LiteJob to handle incoming webhooks in our Rails application.