Operations | Monitoring | ITSM | DevOps | Cloud

Season 2 of Get Kafka-Nated kicks off with Giannis Polyzos, member of the Fluss PMC, for a deep dive into one of data infrastructure’s longest-running debates: streaming vs. batch, or both? What we’ll cover: Timestamps: Useful links.

Data catalogs are no longer just for compliance - they are the essential context layer for AI. While LLMs are powerful, they fail without the "tribal knowledge" found in metadata. This session explores how to transform your catalog from a static repository into an active nervous system for AI agents.

Some queries are hard to solve with "basic" RAG. When questions require multi-step reasoning, full-document understanding (not just chunks), or aggregating many results that match specific criteria, simple retrieve-and-generate pipelines break down, we need agentic RAG. But this added capability comes at a cost: as agents plan, search, read, and iterate, they quickly use up a lot of context, which both degrades answer quality and increases costs and latency.

In this video, Senior Developer Advocate Cole Bowden walks you through the key similarities and differences that exist in InfluxDB 3 Core and InfluxDB 3 Enterprise. As an open source offering, Core thrives at data collection on the edge and providing real-time insights into fresh data, while Enterprise includes support, compaction for performant historical analysis over wide windows, better scaling and security for enterprise-scale operations.

In this episode, we sit down with Viktor Somogyi-Vass, a veteran of the Kafka ecosystem who recently joined Aiven after nearly a decade at Cloudera. Viktor shares his journey from becoming an Apache Kafka Committer to tackling the most complex challenges in modern cloud-native streaming. We dive deep into the architectural shift from traditional data centers to the cloud, exploring how Diskless Kafka (Disaggregated Storage) is slashing costs and why KIP-1134 is the next frontier for true multi-tenancy.