Systems | Development | Analytics | API | Testing

Public cloud, private cloud, or both? Use this guide to understand the real differences, evaluate your team's needs, and build a device testing strategy that scales with your enterprise.

The Multiplayer debugging agent is purpose-built for developers working with coding agents. It captures all the data observability tools miss and manages the whole process from bug identified to bug fixed. AI coding assistants are great at writing code. They are not great at fixing bugs in production and the reason is simple: they don’t have runtime visibility.

The previous posts in this series built the security model layer by layer: identity, configuration governance, service account automation, compute policies, and production model serving. This final post covers what holds all of it together: the monitoring and audit layer that records every action, every API call, and every resource event and makes the full picture visible to the people responsible for it. It accompanies our Enterprise AI Infrastructure Security YouTube series.

What marketing mastered years ago, product teams are only now beginning to understand. For decades, marketing has operated on a simple but powerful principle: don't make your customers come to you, go to them. Meet them on the channels they already use, speak in the language they already speak, and show up where they already spend their time. The result was omni-channel marketing, a discipline that transformed how brands engage with the world.

Opinions about the "best" React framework are like linting configs: everyone has one, and everyone thinks theirs is correct. So instead of adding to the noise, we did something slightly more useful - we scraped 127 React developer job postings from Google Jobs (the max available in the past month) and pulled out every framework and library mentioned in the descriptions. No vibes. Just data. Here's what the job market actually wants from React developers in 2026.

These terms show up in every other LinkedIn post about AI. Everyone uses them slightly differently. So here's how we think about them at Keboola, and what they look like in practice.

Agile ALM manages the entire application lifecycle, including requirements, development, testing, and release, using Agile principles while maintaining end‑to‑end visibility and traceability. It supports iterative delivery, continuous feedback, and changing requirements to ensure that every decision and change is connected, auditable, and aligned with business and regulatory needs. The benefits of Agile ALM include.