Operations | Monitoring | ITSM | DevOps | Cloud

On-call Engineers - Stop Incidents before They Turn into Disasters

Critical incidents don’t follow your schedule. With SIGNL4, you’ll ���������� �������� ���� ���������� - even while you sleep. SIGNL4’s mobile app delivers critical alerts that can ���������������� ������������ ��������, ensuring you �������� ���������������� ��������������, ����������������. ������������ ����������������: Real-time alerting via mobile push, SMS, email, and voice calls Mobile push notifications that can override “Do Not Disturb” Built-in on-call scheduling Persistent alerts that repeat until acknowledged Customizable ringtones and notification sounds.

Resolve's Agents of IT podcast - S2Ep5 - Ari's Hot Takes #itautomation #claude #aiautomation #ai

In this episode of Agents of IT, Ari Stowe and Ian Coppock unpack the recent Claude outage and what it reveals about our growing dependence on AI at work. From developers suddenly returning to Stack Overflow to the infrastructure challenges behind AI scaling, the conversation explores what happens when AI becomes critical enterprise infrastructure. They also discuss how organizations should prepare for AI outages, why “stampede adoption” is the new reality of AI releases, and what resilient, multi-agent architectures could look like going forward.

Static and Dynamic Tagging in N-central and N-sight

Static and Dynamic Tagging in N-central and N-sight In this demonstration, N-able Head Nerd Jason Murphy shows how tag management helps teams organize devices, prioritize support, and streamline day-to-day operations across customer environments. You will see how static and dynamic tags are used to identify VIP devices, track onboarding status, reflect SLA tiers, and create rule-based views that stay accurate as environments change.

Shadow AI and the Coming Workplace Reckoning (w/ Kay Firth-Butterfield)

In this episode of The DEX Show, we’re joined by Kay Firth-Butterfield, the world’s first Chief AI Ethics Officer and former Head of AI at the World Economic Forum. From human rights law and human trafficking to Davos and large language models, Kay traces her remarkable journey into AI governance. We explore shadow AI, workplace “hallucinations,” AI companions, and the hidden risks leaders are underestimating. Kay shares why organizations need cross-functional AI governance, stronger guardrails, and far better training — and why the future of work may depend as much on the humanities as technology.