Systems | Development | Analytics | API | Testing

Marco Palladino on the growth of APIs with AI | CUBE Conversation

Marco Palladino, co-founder and CTO of Kong, joins theCUBE Research’s John Furrier for an insightful conversation exploring the latest technological advancements at the company. As a recognized expert in the field, Palladino shares his perspectives on API innovations and the evolving impact of AI in a world increasingly interconnected by digital technologies.

How Low-Code/No-Code is Redefining Enterprise Test Automation

Today, speed is everything, and that has put businesses under immense pressure to develop and deploy applications faster than ever before. The rapid expansion of low-code/no-code (LCNC) development platforms has been driven by this requirement for speed.In fact, Gartner predicts that by the end of 2025, a staggering 70% of new applications developed by enterprises will use LCNC technologies.

Data Automation for Enterprise Innovation: 6 Challenges to Solve

Enterprises like yours manage terabytes to petabytes of data daily. Collecting and storing this massive volume of information is already complex. But the real challenge lies deeper. It's in delivering data effectively, securely, and in ways that empower your teams to innovate. This blog will deep dive into the current state of enterprise data automation and examine the limitations of legacy solutions. Then, we will explore how top-performing organizations approach automation in their industries.

Building Scalable APIs with Node.js and TypeScript

If you've ever tried building an API with plain JavaScript and found yourself drowning in bugs, weird errors, or spaghetti code, yo, you're not alone. That’s why so many devs are leveling up their backend game by mixing Node.js with TypeScript. It's like going from playing Minecraft in creative mode to building actual skyscrapers: more control, better structure, and way less chaos.

Saving Time in Complex Financial Reporting

Still relying on spreadsheets? For many finance teams, reporting remains a slow, manual grind—like trying to run a marathon in flip-flops. It’s possible, but exhausting and inefficient. In today’s fast-paced business world, where agility and accuracy are non-negotiable, manual processes simply can’t keep up. Bottlenecks, duplicated efforts, and error-prone data handling drag down progress and divert your team’s talent away from higher-impact work.

Social platforms hoarding your traffic? Do this instead

Tired of the algorithm killing your reach? Amanda Natividad, VP of Marketing at @SparkToro, shares why links get penalized, how dark social hides your traffic, and why zero-click content is the better way to grow your audience. If 60% of Google searches don’t end in clicks, and platforms penalize links, building “algorithmic capital” on the native platforms might just be your new North Star. Databox is Modern BI for teams that need answers now. It offers the best of BI, without the complicated setup, steep price, or long learning curve.

How to Maintain Regression Tests? A Practical Guide

Regression testing is one of the most important parts of software testing. It’s how you make sure that old features still work when new code is added. But running regression tests isn’t enough. You need to maintain them. Test maintenance means updating, cleaning, and adjusting your regression tests to match the latest changes in your product. Without it, your tests break, false positives increase, and your team loses trust in your test suite.