Systems | Development | Analytics | API | Testing

I work in marketing, but I spend more time in automation flows than in campaign briefs. And I love it. ‍ At Keboola, I’m part of the Marketing team, but behind the scenes, I’m the one wiring up lead capture, validation, routing, enrichment, and notifications. Every form submission, every hot lead, every triggered campaign has to land somewhere fast and clean. ‍ That’s why I’m genuinely excited about this: Keboola and Make have officially partnered!

Remember when employees went rogue with cloud apps and Shadow IT became IT's nightmare? Well, meet its chaotic sibling: Shadow AI. Employees everywhere are quietly dabbling with AI tools, and IT usually has no idea. It's fast, it's convenient, and it's also a ticking security bomb. Nearly 80% of companies already faced some AI-driven fiasco, from data leaks to embarrassing decisions - and IT leaders are seriously freaking out (TechRadar, 2025). But banning AI isn’t the answer.

In today’s enterprise environment, digital transformation no longer lives solely in the domain of IT. Digital architects, digital technology teams, and cross-functional product leaders now carry critical responsibilities for building digital experiences, embedding AI, and delivering innovation on tight deadlines. Yet far too often, these teams are held hostage by a legacy dynamic: IT owns the data.

The software and product life cycle is fraught with pitfalls and tradeoffs. While testing applications under production-like load is critical to ensuring the reliability, performance, and security of your data storage and software services, you need to do this testing without actually affecting the production data and systems. In essence, you have to pull off the impossible – be as close to production as you can without actually being production.

The longstanding Common Vulnerability and Exposure (CVE) database has vitally guided security teams for over 20 years, connecting cybersecurity experts, developers, vendors, and researchers in their shared ability to track unknown vulnerabilities in software. But in April of 2025, the MITRE CVE database program was in jeopardy. U.S. government funding for CVE, managed by MITRE and sponsored by CISA, was set to expire. Only in the 11th hour was funding secured, and the contract extended — for now.

Dev teams often face delays of days or even weeks waiting for database refreshes. The result? Blocked sprint deadlines and delayed releases. Traditional database provisioning methods often create bottlenecks in DevOps pipelines where speed matters most. But there is a solution to this problem: database cloning. It provides fast, space-efficient copies that speed up development velocity.

At the 2025 instalment of its WWDC event, Apple set out its long-term vision for how we think about platform strategy, AI integration and multi-device architecture. If you’re a CTO, staff engineer, or mobile lead, this wasn’t just a conference to watch, it was one to plan your entire roadmap around. What Apple revealed at this year’s WWDS will affect everything from your frontend stack to how your systems talk to hardware.

As artificial intelligence (AI) reshapes industries, it’s quietly revolutionizing the heart of IT: The data center. The explosive growth of AI workloads is driving up power usage, challenging cooling systems, and demanding a fundamental rethink of how we store and move data. In this new landscape, flash storage stands out – delivering the performance, efficiency, and scalability that AI needs to truly accelerate.

Imagine your development team just released a new feature to collect user preferences. Within hours, a data protection complaint from the EU lands on your legal team’s desk. The user claims they can’t delete their account—and worse, their data is being shared without consent. This isn’t a rare occurrence in today’s data-rich world. When GDPR compliance breaks, it’s not just about fines; it’s also about damaged reputation and lost customer trust.

Operational and analytical estates have been separated since data warehouses were first introduced in the 1990s. The operational estate includes microservices, software-as-a-service (SaaS) apps, and enterprise resource planning systems (ERPs) that have become the beating heart of an organization. The analytical estate consists of the data warehouses, lakehouses, artificial intelligence (AI)/machine learning (ML) platforms, and other custom batch workloads that support business analysis and reporting.