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Get Kafka-Nated S2E2: Viktor Kessler on Apache Iceberg, OSS, and Community

Viktor Kessler is both co-founder of Vakamo, a company specialising in governance for Iceberg, and a major contributor to Lakekeeper, an open-source Iceberg REST catalog. His contributions to the Iceberg aren’t limited to pull requests: Viktor is also the organiser of the Apache Iceberg Meetup Europe and hosted some fantastic events in 2025 that brought the Iceberg community together all over Europe from Dublin to Vilnius.

Skylar Advisor: Proactive Guidance for Modern Operations

Meet Skylar Advisor, bringing trusted and verifiable guidance to IT operations by connecting real time observability with your data and knowledge. Built AI native, it helps teams cut through alert floods, understand what matters most and why, and take the next best steps with confidence. Every recommendation is evidence backed and traceable to the exact data and sources used, so guidance is clear, explainable, and defensible when the stakes are high.

Properly securing OpenClaw with authentication

OpenClaw (née MoltBot, née ClawdBot) is taking over the world. Everyone is spinning their own, either on a VPS, or their own Mac mini. But here's the problem: OpenClaw is brand new, and its security posture is mostly unknown. Security researchers have already found thousands of publicly available instances exposing everything from credentials to private messages.

Grafana Assistant: Why you can trust our agent-and yourself-in an era of AI hallucinations

Let’s be real: AI can hallucinate. And in observability, that feels risky. No one wants an assistant that sends your SREs chasing ghosts. At best, that burns expensive engineering time. At worst, it slows incident response in production and pushes teams toward the wrong remediation path. So here’s the big question: What makes Grafana Assistant different, and why should you trust it? Let’s start by acknowledging the fear. AI hallucinations are a real issue.

Are We Letting AI Think for Us? | SolarWinds TechPod #105

We’re more dependent on technology than ever—and AI is changing how we make decisions. But what happens when the systems fail? Or when bad actors decide to “pull the plug”? This clip dives into a scary but necessary question: Are we losing our ability to critically think and problem-solve by relying too much on AI? Is AI leveling the playing field—or quietly taking over human decision-making? A must-watch conversation about innovation, outages, AI risk, and why having a backup plan matters more than ever.

You Need an Advisor. Not an AI Assistant.

Complex environments don’t fail because teams lack data. They fail when teams can’t trust what the data is telling them. There are too many signals, too little time, and too much risk riding on every decision. That’s the reality Skylar Advisor is built for: delivering guidance teams can verify, so they can act faster without gambling on opaque, black-box answers.

8 themes shaping engineering in the age of AI

We know that AI has been transformational for engineering and it will continue to be, so stop me if this sounds familiar. Imagine an engineering lead opening a pull request for a critical security patch and finding five hundred lines of AI-generated code. While the solution is (mostly) usable, it follows a pattern no one on the team recognizes. This shift away from manually writing every line of logic has introduced a unique level of complexity for teams.

AWS IoT Greengrass comes to Ubuntu Core

London, February 3, 2026 — Canonical and AWS are pleased to announce the release of the new snap for AWS IoT Greengrass, making the deployment of your IoT solutions easy and seamless all the way from silicon to the cloud. With the AWS IoT Greengrass agent now available as a snap package from the Canonical Snap Store, Ubuntu Core has become the ideal operating system for all your AWS IoT edge workloads and data ingress.

Tool Consolidation Is Dead. Long Live Agentic AI.

It’s 2026, and developers have more tools at their disposal than at any point in the industry’s history: CI/CD platforms are richer; observability stacks are deeper; security, data, and AI tooling have exploded into crowded, competitive ecosystems. And yet, delivery is still slow, incidents are still noisy, workflows are still brittle. The problem is no longer tool scarcity or feature depth. It’s integration debt.