If there’s one complaint that I hear consistently in my studies of IT in large organizations, it’s that government IT, as traditionally practiced, is fucked. Compared to the private sector, the amount of paperwork, the role of contractors, and the seeming separation between doing a good job and working software drives all sorts of angst and failure. Mark Schwartz’s book on figuring out “business value” in IT is turning out to be pretty amazing and refreshing, especially on the topic of government IT.

I get asked to talk on DevOps a lot. Here’s my current (late 2016 and 2017) presentation, going over the why’s, the how’s, the technologies, and the meatware that supports including some best and worst practices based on what Pivotal customers do. See the newer slides with big pictures on most slides, and some of the older slides Also, here’s a more blatantly pro-Pivotal (and longer) version that you might have seen, esp.

I get asked to talk on DevOps a lot. Here’s my current (late 2016 and 2017) presentation, going over the why’s, the how’s, the technologies, and the meatware that supports including some best and worst practices based on what Pivotal customers do. See the newer slides with big pictures on most slides, and some of the older slides Also, here’s a more blatantly pro-Pivotal (and longer) version that you might have seen, esp.

I get asked to talk on DevOps a lot. Here’s my current (late 2016 and 2017) presentation, going over the why’s, the how’s, the technologies, and the meatware that supports including some best and worst practices based on what Pivotal customers do. See the newer slides with big pictures on most slides, and some of the older slides Also, here’s a more blatantly pro-Pivotal (and longer) version that you might have seen, esp.

I get asked to talk on DevOps a lot. Here’s my current (late 2016 and 2017) presentation, going over the why’s, the how’s, the technologies, and the meatware that supports including some best and worst practices based on what Pivotal customers do. See the newer slides with big pictures on most slides, and some of the older slides Also, here’s a more blatantly pro-Pivotal (and longer) version that you might have seen, esp.

I get asked to talk on DevOps a lot. Here’s my current (late 2016 and 2017) presentation, going over the why’s, the how’s, the technologies, and the meatware that supports including some best and worst practices based on what Pivotal customers do. See the newer slides with big pictures on most slides, and some of the older slides Also, here’s a more blatantly pro-Pivotal (and longer) version that you might have seen, esp.

I get asked to talk on DevOps a lot. Here’s my current (late 2016 and 2017) presentation, going over the why’s, the how’s, the technologies, and the meatware that supports including some best and worst practices based on what Pivotal customers do. See the newer slides with big pictures on most slides, and some of the older slides Also, here’s a more blatantly pro-Pivotal (and longer) version that you might have seen, esp.

This post is pretty old and possibly out of date. There’s updates on this topic and more in my book, Monolithic Transformation. Every journey begins with a single step, they say. What they don’t tell you is that you need to pick your step wisely. And there’s also step two, and three, and then all the n + 1 steps. Picking your initial project is important because you’ll be learning the ropes of a new way of developing and running software, and hopefully of running your business.

The Docker forking hoopla is providing an interesting example, in realtime, of how open communities figure out monetization. #RealTalk: Open communities are not immune to C.R.E.A.M. One of the most important decisions an open source community makes is where and how it will make money. I always liked Eclipse’s take because they’re mega clear on this topic; the ASF plays this goofy game where they try really hard to pretend they don’t need to answer the question, which itself is an answer, resulting in only the occasional quagmire; Linux has a weird situation where RedHat figured out This One Cool Trick to circumvent the anti-commercial leanings of the GPL; MySQL has a weird dual licensing model that I still don’t fully grasp the strategic implications of; RIP Sun.

tl;dr Recently, I’ve been in conversations where people throw some doubt on DRY. In the cloud native, microservices mode of operating where independent teams are chugging along, mostly decoupled from other teams, duplicating code and functionality tends to come more naturally, even necessarily. And the benefits of DRY (reuse and reducing bugs/inconstancy from multiple implementation of the same thing), theoretically, no longer are more valuable than the effort put into DRYing off.