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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Wipe It Clean, Sell It Smart: The Right Way to Retire Your Servers

Selling servers is about more than moving hardware, it's about controlling risk. Inside every decommissioned unit sits sensitive data most businesses forget to address. Deleting files or formatting disks doesn't erase information. That oversight can cost millions, damage trust, or lead to serious legal consequences. Before a sale, every server must go through proper data sanitization. This process isn't just technical, it's strategic. It protects your clients, your team, and your brand. This guide walks you through the process, from data erasure methods to resale pricing. The goal.

Why AIX Automation Starts with Better Monitoring: How Galileo Powers Smarter Action

If your automation can’t trust the data it’s acting on, it’s not automation. It’s a guess. That’s why AIX automation monitoring is the foundation for success. Many teams encounter this gap when trying to automate AIX operations. Red Hat Ansible Automation Platform (AAP) and Event-Driven Ansible (EDA) can absolutely streamline routine tasks, like expanding filesystems or tuning adapters. But every playbook still depends on one thing: accurate, real-time monitoring.

What is Asynchronous Job Monitoring?

Modern applications don’t process everything inside the request/response path. To keep APIs responsive, time-consuming work like image resizing, payment processing, or data syncs is moved into background queues. Workers then pick up these asynchronous jobs and run them outside the main thread. Asynchronous job monitoring is the practice of tracking these background tasks: Without this visibility, background workers become a blind spot.

AI's Impact on Software Devs Productivity & Downsides

AI is boosting flow, job satisfaction, and productivity for devs. But here’s the twist: it’s not actually giving us more time to do valuable work. In his GitKon talk, Nathen Harvey digs into the real impacts of AI adoption in technical teams. Yes, AI reduces toil and improves satisfaction. But it also shifts how we spend our time and sometimes that means less “valuable work” gets done. So the question becomes: how can we use AI not just to work faster, but to work better?