Operations | Monitoring | ITSM | DevOps | Cloud

(AusBiz) JFrog teams up with Nvidia to manage AI agents

AI agents are making real-time decisions inside enterprises right now; pulling code, accessing tools, executing tasks. But most businesses have zero visibility into what those agents are actually using. In this interview on @ausbizTV, Sunny Rao, SVP APAC at JFrog, explains why the governance gap is one of the biggest risks facing enterprises today; and how JFrog and NVIDIA are building the trust layer to fix it.

JSON Jiu Jitsu: Has JSON Parsing Got You in a Chokehold?

From malformed fields to endlessly nested objects, JSON logs can feel like they’re trying to submit your SIEM. In this technical session, we’ll demonstrate how to turn that chokehold into a clean takedown using Graylog’s parsing, normalization, and enrichment capabilities. You’ll learn how to: Whether you’re a SOC analyst tired of regex wrestling or an admin looking to streamline onboarding, you’ll leave with practical techniques to make messy JSON your sparring partner—not your opponent.

Telegraf Controller and Agent Observability

Telegraf Controller makes it easier to manage and monitor your Telegraf agents in one place. In this overview, Product Manager Scott Anderson explains how it works. Agents pull their configurations directly from the controller and report their status back using a heartbeat plugin. This gives you a clear, real-time view of your deployment health. You can quickly see how everything is running at a high level or drill into individual agents for more detail. It's a simple way to stay on top of large Telegraf setups.

Get Kafka-Nated S2E4: Debugging the Kafka-Iceberg Connector

In this episode of Get Kafka-Nated, host Hugh is joined by Anatolii Popov, Senior Software Engineer at Aiven, to dive into one of the most talked-about integrations in the modern data stack: Kafka to Apache Iceberg. Anatolii was accepted to speak at Iceberg Summit 2026 on debugging the Kafka Connect Iceberg Connector, and in this session we’ll cover the talk he would have given, including common failure modes, debugging locally, catalog complexities, and where the integration is heading next.

The Best SKILL.md Is the One You Never Update - Meet Checkly's CLI

Most agent skills are static — frozen documentation snapshots that go stale the moment APIs change or flags get deprecated. Checkly does it differently. Our SKILL.md is just 100 lines of CLI pointers. No baked-in docs. Your coding agent learns what it needs, when it needs it, straight from the Checkly CLI.