Systems | Development | Analytics | API | Testing

Struggling with data consistency in sharded APIs? Here's what you need to know upfront: Data sharing improves performance by dividing data across multiple databases, but it introduces challenges in maintaining consistency. Consistency models matter: Choose between strong consistency (immediate accuracy, higher latency) and eventual consistency (temporary inaccuracies, higher performance).

Do you ever feel like you need a superpower to get the information you need? Especially when you’re really into Python? APIs are pretty much that superpower! APIs (Application Programming Interfaces) let your code "talk" to other systems and get exactly what you need. They can help you come up with a new app, find the next big market trend, or even automate your morning weather report. This guide?

If you’re looking for a better way to handle reporting in Power BI, especially when working with Microsoft Dynamics 365 data, you’re not alone. Many businesses struggle with the complexity of Dynamics data and the technical overhead of building reports in Power BI from scratch. In this guide, we’ll show you how to simplify Power BI reporting by using Jet Reports, a powerful reporting tool that integrates seamlessly with Dynamics 365 and Excel.

Confluent recently released its 2025 Data Streaming Report: Moving the Needle on AI Adoption, Speed to Market, and ROI. The report found that data streaming is delivering business value with 44% of IT leaders, driving up to 5x or more return on their data streaming investments. Explore the 2025 Data Streaming Report That said, as companies continue to expand their data streaming use cases, many struggle with nontechnical hurdles around scaling, setting up operations, and hitting organizational silos.

Our previous article in this series established that Solid Queue is an excellent choice if you need a system for processing background jobs. It minimizes external dependencies — no need for Redis! — by storing all jobs in your database. Despite that, it is incredibly performant. But just being performant is not enough for a production-ready background job system. Rails developers have come to expect a lot over the years. We don't just want to enqueue jobs to run in the background.

In this post, we'll run through testing a Node-MongoDB app, step by step. You can test MongoDB using mongodb-memory-server, an in-memory version of MongoDB that runs independently of a persistent database. A freshly spun-up mongod process starts at roughly 7 MB of memory, providing a lightweight, self-contained environment for running tests. Let's get going!

Common Vulnerability Scoring System (CVSS) and the National Vulnerability Database (NVD database) help you to properly assess which software vulnerabilities should be your top priority. Here, we explain what is the National Vulnerability Database (NVD), what is the Common Vulnerability Scoring System, and how CVSS is used to calculate risk. Read along or jump to the section that interests you the most.

If you're still using an earlier version of Katalon Studio, you're likely missing out on major improvements that make everyday testing faster, easier, and more reliable. Studio 10.2.0 focuses on solving real-world problems, giving AI more context when writing test scripts, speeding up and clarifying test reports, and strengthening integrations and security for teams working at scale. Here are the top three reasons to upgrade today.