This is a great conversation with John Mitchell about Duke Energy improving it’s software capabilities, doing “digital transformation,” as the kids like to call it. We start from the beginning of what kicked the company off, a shift from COTS software to mobile apps and analytics. Also see full show notes.

Security, security, security! Everyone wants security, at least they say so. How it’s actually managed and even conceptualized in organizations is a lot more than just patching software and using CAPTCHA’s. In this discussion, Coté talks with Javvad Malik who’s been in the security business for countless years. In addition to talking about how security is done well and poorly, they discuss controversies in the space and establishing a good baseline for securing organizations.

Security, security, security! Everyone wants security, at least they say so. How it’s actually managed and even conceptualized in organizations is a lot more than just patching software and using CAPTCHA’s. In this discussion, Coté talks with Javvad Malik who’s been in the security business for countless years. In addition to talking about how security is done well and poorly, they discuss controversies in the space and establishing a good baseline for securing organizations.

If you only followed the daily headlines, AI and machine learning seem like a magical technologies that will either solve all our problems or put everyone out of work. In reality, there’s little to know AI and machine learning, though complex, has many practical uses. While they’re often delightful, there’re not mystical. Coté discusses how to think about machine learning, how it works, and some examples of what it can do with Dominic Wellington.

If you only followed the daily headlines, AI and machine learning seem like a magical technologies that will either solve all our problems or put everyone out of work. In reality, there’s little to know AI and machine learning, though complex, has many practical uses. While they’re often delightful, there’re not mystical. Coté discusses how to think about machine learning, how it works, and some examples of what it can do with Dominic Wellington.

“We have already slashed the time needed to implement new ideas by 70 percent while avoiding hundreds of millions of dollars in costs.” M. Wes Haga, Chief of Mission Applications and Infrastructure Programs for Air Force Research Lab Slowly but surely, the US government is improving how they do software. Working at Pivotal, I’m lucky to see some of this change and talk with the people who’ve actually done it.

Most companies don’t realize the amount of work required to fully transform their approach to creating and caring for software. Scaling up the improvements learned and put into place by your initial teams relies on building trust and understanding in the overall organization. For whatever reason, most people in large organizations are resistant to change and, what with the frequent introduction of process improvement programs, skeptical of the flavor of the week of the syndrome.

On overview of how Bloomberg is looking at the likes of Pivotal Container Services: "Many Kubernetes distributions are good on day one, when they're first deployed," said Andrey Rybka, technical architect in the office of the CTO at Bloomberg, the global finance, media and tech company based in New York. "But what happens on day two, when something fails? Kubernetes doesn't [automatically] address things like failures at the physical node level.

Has everyone gone kubernetes crazy? It seems like most buyers and sellers at least want it as an option and are, if you prefer the word, capitulating to supporting it. In past weeks most all vendors - even Oracle! - have announced support and road-maps for using Google’s container orchestrator in their cloud-native stacks. Also, Chef and Puppet have new suites of tools, Docker sets its sites clearly on reducing VMware costs, and there’s some new momentum stats on the Cloud Foundry ecosystem.

Has everyone gone kubernetes crazy? It seems like most buyers and sellers at least want it as an option and are, if you prefer the word, capitulating to supporting it. In past weeks most all vendors - even Oracle! - have announced support and road-maps for using Google’s container orchestrator in their cloud-native stacks. Also, Chef and Puppet have new suites of tools, Docker sets its sites clearly on reducing VMware costs, and there’s some new momentum stats on the Cloud Foundry ecosystem.