Systems | Development | Analytics | API | Testing

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Mastering API Modeling: Essential Concepts and Practices

An API model acts as a blueprint for building scalable and maintainable software interfaces. In this article, you’ll discover how to design, implement, and validate a robust API model, including the use of AI models. We’ll cover key concepts like API modeling, essential components, user identification, and best practices.

Mastering API Governance: Best Practices for Success

API governance sets the rules and practices to manage APIs efficiently, ensuring they remain discoverable, consistent, and secure. It’s crucial for businesses aiming to control API sprawl and enhance collaboration. This guide explores API governance, its role in effective API management, its benefits, and best practices for successful implementation.

Qlik Answers - quick product demo - Do More with Qlik

Qlik Answers offers a solution with Generative AI and Retrieval-Augmented Generation (RAG) allowing you to create conversational experiences with your data that exists in unstructured forms. Users can ask questions and receive reliable, consistent answers with links to source content, enhancing decision-making and business performance. Unlike other solutions, Qlik Answers is an out-of-the-box, self-service tool that simplifies deployment, reduces complexity, and ensures high security and compliance.

Optimizing global message transit latency: a journey through TCP configuration

At Ably, we provide a realtime messaging service that aims to deliver messages between globally-distributed participants with the lowest latency possible. When powering apps that enable realtime collaboration, or require time-critical updates, low and consistent latency is essential.

App Center internal app distribution alternatives

Internal app sharing is a crucial step in ensuring the quality and functionality of applications before their public release. With the upcoming discontinuation of Microsoft's App Center, developers are looking for robust alternatives that streamline the distribution process and address common challenges faced during internal testing phases. This post explores the intricacies of internal app sharing, highlighting common obstacles and reviewing platforms designed to simplify the process.

Maximizing Efficiency and Savings with a Cutting-edge Test Data Management Framework

In today’s regulatory environment, organizations are compelled to adopt stringent security measures to mitigate the risk of PII (Personally Identifiable Information) data breaches in their production environments. However, the pressure to provision more test data in non-production environments, often sourced from production data, has introduced new vulnerabilities.

Benefits and Applications of Open Source AI

The open-source philosophy and principles have always been about the democratization of knowledge—giving everyone the opportunity to access, learn, modify, and share software freely. As we see AI technologies seemingly taking over our day-to-day lives, we need those benefits in AI as well. Open-source AI inherits the open-source principles. It fosters transparency and collaboration, allowing us to build robust and secure AI systems.

Flink AI: Real-Time ML and GenAI Enrichment of Streaming Data with Flink SQL on Confluent Cloud

Modern data platforms enable enterprises to extract valuable business insights from data, sourced from various origins. Data engineers, data scientists, and other data practitioners utilize both data streaming and batch processing frameworks as a means to provide these insights. While batch processes work on historical data, stream processing extracts insights in real time, enabling businesses to react faster with respect to changing events.

What Makes Data-in-Motion Architectures a Must-Have for the Modern Enterprise

Cloudera’s data-in-motion architecture is a comprehensive set of scalable, modular, re-composable capabilities that help organizations deliver smart automation and real-time data products with maximum efficiency while remaining agile to meet changing business needs. In this blog, we will examine the “why” behind streaming data and review some high-level guidelines for how organizations should build their data-in-motion architecture of the future.

How To Calculate Test Automation ROI?

Test automation is no longer a cutting-edge technology. It is now a standard for any QA team looking to bring product quality to the next level. However, some testers are hesitant. They pose questions: does test automation actually bring ROI? Or perhaps they’re wary of the struggle with maintaining automation test scripts that break every time a new update is rolled out. It is those questions that deter business leaders from making the final decision, but they have a reason to be wary.