Operations | Monitoring | ITSM | DevOps | Cloud

What does real work-life balance look like in tech? In this honest and funny conversation, Sean Sebring and Chrystal Taylor share stories from their sabbaticals, burnout moments, and how they learned to unplug — for real this time. Topics we get into: Why burnout hits tech pros harder than most The art of saying “no” and setting healthy boundaries How to stop chasing “perfect” and embrace good enough Why taking time off sets a better example for your team Reframing success: from “always on” to sustainably productive.

The hyperscaler model is built on bait: generous cloud credits for years, especially if you're VC-backed. But there's a serious catch. In this clip, Canopy's James Marks talk about the expected consequence of taking those "free" credits. It's not just about attracting customers; it's about deepening reliance on proprietary platform-native tools. It’s the ultimate vendor lock-in strategy, making it costly and complicated to break away later.

Hot take: The biggest developer productivity killer isn't context switching. It's the tedious reconstruction of work you've already completed. Before every meeting, you're not coding. You're rediscovering what you already did.

GitKraken Desktop 11.6 is here, shaped by real developer feedback. This release introduces support for shallow clones, a long-requested feature that improves performance for large repos and CI workflows. Simply open a shallow-cloned repo from the New Tab and you’re in. We’ve also made GitKraken AI more controllable and more contextual.

AI is set to rewire how every organization operates. In this clip, Clint Sharp explains why being intentional about AI adoption matters and why companies that fail to prepare today may not survive tomorrow.

We’re entering a new era where agents will boost productivity and reshape how we handle and analyze telemetry data. This is the before and after moment.

In this session, we will discuss how the University of Pittsburgh was able to modernize their data processing strategy, migrate to a new SIEM solution, and avoid ballooning SIEM costs all within 68 days from the first install of a Cribl product. We will showcase how we were able to use Cribl's software to easily handle the following scenarios: 100% agent replacement and consolidation using Cribl Stream Workers and Edge.

Security teams today are overwhelmed with data—but starved for context. In this session, we’ll show how you can turn raw security telemetry into actionable intelligence before it hits your SIEM by enriching it with Threat Intelligence (TI) directly in Cribl Stream.

Security teams are dealing with massive data growth, siloed tools, and constant alert fatigue. All of this makes it harder to detect and respond to threats. AI has become a key part of the solution, but its effectiveness depends on having access to complete, high-quality data. In this session, Palo Alto Networks and Deloitte will explore how AI and automation are redefining the modern Security Operations Center (SOC). Learn how leading organizations are leveraging intelligent workflows, automated threat detection, and machine learning to accelerate response times, reduce analyst fatigue, and strengthen overall security posture.