Operations | Monitoring | ITSM | DevOps | Cloud

Don't Ban the Builders - Govern Them

AI tools turned everyone into a builder. Your sales team, your finance team, your CEO - they're all shipping apps now. The answer isn't to ban them. It's to give them a governed platform they actually want to use. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Episode 11 - Karthik Ravindran Human Choices in an AI Future (Part 1)

#ArtificialIntelligence #EnterpriseAI #AILeadership #GenerativeAI #FutureOfWork #DigitalTransformation #ResponsibleAI #MicrosoftAI #AIInnovation #BusinessTransformation #HumanPlusAI #DataAndAI #Leadership #AIStrategy #EnterpriseTransformation #TheIntelligentEnterprise #TechPodcast #AIForBusiness #FutureReady #InnovationLeadership #AIPodcast #ContextMatters #AITransformation #DigitalLeaders #TomStoneman #KarthikRavindran

Zero to Dashboard with Grafana Assistant and the Infinity datasource plugin

Senior Developer Advocate Nicole van der Hoeven demonstrates how to go from zero to dashboard in a few minutes without using any queries, with the help of Grafana Assistant and the infinity datasource plugin for Grafana. Nicole is using the rawg.io video game database API to visualize games and get recommendations for what to play next!

How to measure developer experience (DevEx) in the AI era

As AI coding assistants dramatically inflate PR counts, commit frequency, and lines of code, the limitations of individual output metrics have never been more apparent. A developer can now produce significantly more lines per session, but higher volume doesn’t guarantee that the code is stable, maintainable, or successfully running in production. GitClear analyzed over 200 million lines of code and found that code churn nearly doubled following widespread AI adoption.

Anthropic Monitoring & Observability with OpenTelemetry and SigNoz

Learn how to implement end-to-end monitoring and observability for Anthropic (Claude) API-based applications using OpenTelemetry and SigNoz. In this video, we walk through instrumenting your Anthropic API calls, collecting traces, metrics, and logs, and visualizing everything in SigNoz to gain real-time visibility into performance, failures, and bottlenecks. You'll see how to move from basic logging to production-grade observability, so you can debug faster, optimize latency, and confidently run Claude-powered AI systems at scale.

The New Agentic AI Job Roles IT Leaders Need

CIOs are under pressure from every direction. Budgets remain tight, geopolitical uncertainty is forcing organizations to rethink resilience, and workforce expectations continue to evolve. At the same time, AI is accelerating a broader shift across enterprise IT – changing not only how organizations operate, but also the skills and roles they will increasingly depend on. The question is not whether AI will reshape IT teams, but how quickly organizations can adapt to these new ways of working.

AI Won't Replace You. Someone Using It Will.

AI isn’t about replacing engineers. It’s about leverage. The teams that win will be the ones that: Triage incidents faster Correlate signals automatically Reduce manual investigation Automate repetitive operational work In observability, that means asking: AI won’t eliminate expertise, it amplifies it. The real risk isn’t AI taking your job. It’s competitors using AI to operate at a speed and efficiency you can’t match.

The Five Pillars of AI Agent Accountability: A Diagnostic Framework for Engineering Leaders

You’re in a board meeting. The CISO is presenting on AI risk. The CFO asks a simple question: “When that finance agent we deployed last quarter accessed a customer payment record, can we tell who authorized it, what policy permitted it, and produce the full audit trail?” The CISO looks at the head of the platform. The head of the platform looks at security. Nobody answers. If you can picture that meeting happening at your company, you’re not alone.

How Copilot integration services redefines corporate workflow

The common situation of most businesses today is to be drowning in data, yet starved for efficiency. Underutilization of data, where valuable corporate information is locked within disconnected applications, has led employees to act as bridges between the software systems. Microsoft Copilot is often touted as one answer to this, and with its current ecosystem, it may just be the best one. It can use AI, not as a passive chat, but as an active, intelligent agent that unifies corporate data and helps automate cross-platform workflows.