Operations | Monitoring | ITSM | DevOps | Cloud

Recently, Logz.io co-founder and CTO Asaf Yigal teamed up with DevOps legend John Willis for an engaging webinar exploring the exciting—and occasionally intimidating—world of Shadow AI and the “tech debt tsunami” on the horizon. This lively session dove into how generative AI (GenAI) is reshaping software development, DevOps practices, and infrastructure management, along with some friendly advice on how organizations can navigate these changes without getting swept away.

Software development is changing fast, and here at GitKraken, we’re excited to be at the forefront. We’re entering a new era—one where AI is helping developers rather than trying to replace them. Our goal is to put that power to work for developers—embedded in your workflows, on your terms. We’ve been listening closely to feedback from our community—developers, team leads, engineering managers, and our enterprise customers.

Advertising-driven revenue models have become increasingly appealing to businesses across various sectors in recent years. This approach has gained significant traction among retailers, grocers, and commerce intermediaries seeking to diversify their income streams. However, the rapid evolution of these markets has often led to operations marked by manual interventions, disjointed systems, and fragmented data workflows.

AI costs can spiral out of control before you know it. One day you’re building an AI feature that promises to bring in a solid chunk of revenue for the company. The next day you’re obsessing over an astronomically high cloud bill that will significantly eat into your profits — or consume them entirely. To help you solve this problem, we brought in Jeremy Daly, Director of Research (and AI cost management guru) at CloudZero.