Systems | Development | Analytics | API | Testing

You collect massive amounts of data every day: streaming logs, transaction records, user interactions, and sensor data. The goal is transforming this into valuable near real-time analytics and business intelligence. But here’s the problem: most data lakes turn into data swamps where valuable insights get buried under poor organization and slow performance. Apache Iceberg and Trino provide the foundation for organized, high-performance data storage and querying.

OKRs were designed to help companies turn strategy into execution. In practice, though, that’s not always the case. When I first started working on the OKRs feature at Databox, I interviewed customers to understand how they apply OKRs and similar frameworks in their companies today.

When we first introduced Teams in Databox, the goal was to give every team a “home base”, a shared space where they could collaborate around the metrics, Databoards, and Reports that mattered most. Executives could monitor company-wide performance at a glance. Team leaders could use it to organize dashboards around key initiatives and keep their teams aligned. And individual contributors could quickly access the data most relevant to their role. For many of you, that was the case.

Turn quality into a strategic advantage—accelerate outcomes with Sauce AI.

Not all elements show up at once. Some need time to load. Some depend on JavaScript or AJAX calls before becoming available. That’s why smart wait strategies matter in test automation. Explicit Wait in Selenium gives you control. It waits for specific conditions to be true before your script moves forward. You can wait for a button to become clickable, a form to appear, or an alert to pop up. All without guessing how long it will take. In this article, we'll explore: Let’s get started.

Test analysis is the step where we translate ideas into testable checks. Think of test Analysis as a bridge from requirements to coverage. In this guide, we will keep it practical. We will show the steps in test analysis and how to apply them as well as sharing simple techniques for analyzing test results (with examples you can reuse). Let us dive in and make your work easier.

While many organizations mistakenly believe a single tool can solve all their API security woes, the truth is far more complex. This blog post will dismantle the myth of the "silver bullet" and demonstrate how a comprehensive, defense-in-depth strategy, centered around a robust API management platform, is essential for truly securing your API ecosystem.

Third-party recognition is always a significant milestone, but being included across multiple categories by a leading research firm like Gartner? That's definitely worth celebrating. Kong has been featured in eight different categories across six Gartner hype cycles for 2025*— our most comprehensive inclusion to date. This recognition spans the entire gamut of API platform capabilities: from API observability to vertical-specific healthcare solutions.