Operations | Monitoring | ITSM | DevOps | Cloud

Are AI Tools Actually Improving Developer Experience? (Experts Cut Through the Hype)

AI tools are spreading across the entire software development lifecycle - but are they actually making developers more productive, or just adding noise? In this panel from Context Conference, Najla Elmachtoub (Squadformers) moderates a sharp, no-fluff conversation with Nathen Harvey (Google, DORA program), Bill Harding (GitClear), and Jeremy Castile (GitKraken) on what's really working when it comes to AI and developer experience.

Secure execution: Agents in sandboxes with relaxAI

The hard part of deploying AI agents isn't the agent. It's the environment around it. As organisations move from AI experimentation into production, the question isn't just what agents can do; it's whether you can trust the environment they run in. Sandboxed execution gives you both the autonomy and the guardrails, keeping agents isolated, auditable, and under your control.

The Hybrid Shift: Where Workloads Are Headed and How to Move Them

Businesses migrating from a single, public cloud provider has been the direction of travel of UK digital infrastructure for years. As far back as 2020, Barclays found that 43% of enterprise CIOs were already planning to bring workloads back from the public cloud to on-premises or private cloud infrastructure. Since then, IDC, Gartner and a host of vendor surveys have tracked an increase in this intention.

What is AI-Powered Observability? A Complete Guide for IT Teams in 2026

Is your monitoring stack really giving you clarity, or just more alerts? Your monitoring stack is probably working exactly as designed. That is the problem. As systems grow, most IT and platform teams start to see the same patterns: At this point, traditional monitoring starts to feel limited. This is where teams begin exploring AI in observability. In this guide, we will explain what AI-powered observability actually means, how it works, and when it is useful.

Episode 31: Who really governs artificial intelligence? ft. Luqman Kondeth

In Episode 31 of Server Room, we sit down with Luqman Kondeth, AI Governance & Cybersecurity Strategist and Director at NYU, for a conversation that goes far beyond technology. From personal growth and global experiences to AI governance, cybersecurity, and leadership, this episode explores how mindset shapes the way we build careers, communities, and the future of technology itself. In this episode, we discuss.

AI SRE Agent: How Autonomous Incident Investigation Is Eliminating Manual Root Cause Analysis

A critical production alert wakes you up: p99 latency just hit 4 seconds. You drag yourself to a terminal, open five dashboards, start correlating log timestamps with trace IDs, dig through 47,000 log lines across eight services, and 90 minutes later, you finally find the culprit: an N+1 database query introduced in a deployment that shipped four minutes before the spike started. An Atatus AI SRE Agent would have identified that root cause and drafted a remediation plan in 28 seconds. Not approximation.

Spend less time on repetitive tasks with the new automation feature in Grafana Assistant

The ability to schedule regular tasks, such as cron jobs, has been around for decades. So why are we still running the same AI prompts by hand every day? As you use Grafana Assistant, our AI-powered observability agent, to stay on top of the state of your system, you likely find yourself asking the same questions. Maybe you want to know what changed overnight, or whether yesterday's deployment hurt latency, or which dashboards or skills are drifting out of date.

Bridging Bedrock Skills with AI: A Conversation with Jeremy Bradberry

What happens when decades of operational experience meet modern AI-driven networking? In the latest episode of Next-Gen Network Heroes, Bob Slevin sits down with Jeremy Bradberry, Senior Network Engineer at Delaware North, to explore how network engineers can modernize infrastructure without losing sight of the operational realities behind the technology. Jeremy shares lessons learned from working on legacy manufacturing systems, how AI is helping engineers analyze data and automate workflows faster than ever before, and why strong standards still matter in today’s AI era.