Operations | Monitoring | ITSM | DevOps | Cloud

When AI could only answer questions, a bad prompt just meant a bad answer. But now AI agents read your documents, browse websites, and actually do things on your behalf. So when someone sneaks a malicious instruction into a file or a webpage, the agent doesn't just say something wrong. It does something wrong!

Watch the full episode: MCP vs CLI: Does it even make a difference? Live Laugh Logs ep. 3.

Wolt operates in 30+ countries. Every order, every restaurant, every courier runs on the same infrastructure. When it breaks, it doesn't slow things down, it stops everything. Wolt's VP of Engineering shares why Apache Kafka sits at the heart of their platform, what seven years of partnership with Aiven looks like in practice, and how they're building the data foundation needed to get AI working at scale.

Let’s be honest: traditional automation breaks the second it hits a scanned PDF, a messy email thread, or an architectural drawing. Rules-based RPA simply lacks the cognition required to decode unstructured data. In this episode of, Project Manager Swetha K J breaks down exactly how we conquered this massive roadblock on our automation journey. By embedding advanced AI models directly into automation workflows, we’ve built a context-aware architecture that transitions systems from static execution to dynamic intelligence.