Tracy Bannon

It's the humans that matter...


xOPS: Transdiciplinary approach to incorporating AI into the Software For today, I’m going to define ๐˜…๐—ข๐—ฝ๐˜€ as ๐——๐—ฒ๐˜ƒ๐—ฆ๐—ฒ๐—ฐ๐—ข๐—ฝ๐˜€ + ๐——๐—ฎ๐˜๐—ฎ๐—ข๐—ฝ๐˜€ + ๐— ๐—Ÿ๐—ข๐—ฝ๐˜€. Why though? Because the integration of AI capabilities into our software requires more than traditional DevSecOps. I’ve spent decades architecting software solutions for complex challenges, I’ve learned that pragmatism, integration, and flexibility are paramount. ๐˜…๐—ข๐—ฝ๐˜€ ๐—ถ๐˜€๐—ป’๐˜ ๐—ฎ ๐—บ๐—ฒ๐˜๐—ต๐—ผ๐—ฑ๐—ผ๐—น๐—ผ๐—ด๐˜†; it’s a transdisciplinary mindset that integrates the ๐—ฝ๐—ฟ๐—ถ๐—ป๐—ฐ๐—ถ๐—ฝ๐—น๐—ฒ๐˜€ of DevSecOps, DataOps, and MLOps.

Distributed Everything

Why is it so easly to learn to hack?

A recent post by George Lawton on highlighted insights by Gartnerโ€™s analysts on pressing trends for operationalizing business value (aka value stream/ mission delivery). The key take away is the need to address composability and โ€œdistributed everything.โ€ Iโ€™ll add a personal โ€œ+1โ€ to that assertion given my observations with my clients and federal sponsors. Growth in composable infrastructure is powered by cloud capabilities. Growth in composability of data and analytics is fueled by a few drivers: the need to harness and make use of the data available th enteprise already has, the need to deal with growing volumes of new data available to the enterprise, and the incorporation of multiple analytics techniques into all facets of software intensive systems.