The software engineering world has become a place where compute, storage, and availability have become the cornerstones of scale. As an industry and as individuals, we should stop to take a closer look at scaling the most important of all resources… our people. In this post I’ve modeled a team with 6 engineers, 2 Sr, 3 Mid, and 1 Jr. This team is getting 450 “units” of work done ( where a unit is just some measure of throughput ) per interval (2 months).
In this livestream, I talked to Ryan Saunders – Manager of Security Operations at SpyCloud, about how he used the Cribl Reference Architecture to build a scalable deployment. He explained how this approach enabled SpyCloud to grow alongside its evolving needs without requiring significant rework. The reference architecture also facilitated a repeatable data-onboarding process, reducing administrative time and allowing the team to focus on critical security and data analysis tasks.
Generative AI has the world thinking about automation now more than ever before. The Information Technology Infrastructure Library (ITIL) has prioritized it from the start. ITIL has advocated for automation as a transformative tool for organizations to deliver business value, accelerate change, and reinvent service configuration management. By handling mundane tasks, automation can empower people to do more innovative and effective work.
