tag

Product Development

  1. #61 6 min

    The Future of Ops

    Traditional Operations isn’t going away, it’s just retooling. The move from on-premise to cloud means Ops, in the classical sense, is largely being outsourced to cloud providers. This is the buzzword-compliant NoOps movement, of which many call the “successor” to DevOps, though that word has become pretty diluted these days. What this leaves is a thin but crucial slice between Amazon and the products built by development teams, encompassing infrastructure automation, deployment automation, configuration management, log management, and monitoring and instrumentation.

  2. #60 6 min

    Pain-Driven Development: Why Greedy Algorithms Are Bad for Engineering Orgs

    I recently wrote about the importance of understanding decision impact and why it’s important for building an empathetic engineering culture. I presented the distinction between pain displacement and pain deferral, and this was something I wanted to expand on a bit. When you distill it down, I think what’s at the heart of a lot of engineering orgs is this idea of “pain-driven development.” When a company grows to a certain size, it develops limbs, and each of these limbs has its own pain receptors. This is when empathy becomes important because it becomes harder and less natural. These limbs of course are teams or, more generally speaking, silos. Teams have a natural tendency to operate in a way that minimizes the amount of pain they feel.

  3. #59 2 min

    Decision Impact

    I think a critical part of building an empathetic engineering culture is understanding decision impact. This is a blindspot that I see happening a lot: a deliberate effort to understand the effects caused by a decision. How does adopting X affect operations? Does our dev tooling support this? Is this architecture supported by our current infrastructure? What are the compliance or security implications of this? Will this scale in production? A particular decision might save you time, but does it create work or slow others down? Are we just displacing pain somewhere else?

  4. #54 9 min

    Shit Rolls Downhill

    Building software of significant complexity is tough because a lot of pieces have to come together and a lot of teams have to work in concert to be successful. It can be extraordinarily difficult to get everyone on the same page and moving in tandem toward a common goal. Product development is largely an exercise in trust (or perhaps more accurately, hiring), but even if you have the “right” people—people you can trust and depend on to get things done—you’re only halfway there.

  5. #39 3 min

    Product Development is a Trust Fall

    A couple weeks ago, Marty Cagan gave an outstanding talk at CraftConf on why products fail despite having great engineering teams. In it, he calls out many of the common mistakes made by teams, and I think there is an underlying theme: trust. Product development is a trust fall. In order to be successful, a chain of trust must be established from the business all the way down to the engineers. If any point in that chain is compromised, the integrity of the product—and specifically its success—is put in jeopardy.