19 karma · joined September 9, 2016
However, given the change of codebase size, there must be more changes in domains we're not interested in, like implementation of legacy primitives and infrastructure around them.
When you think something is stupid (like adopting only standups), frequently it's because you don't understand the motivation behind it. Standups are one of the first obvious changes any team, no matter how oldschool and rigid, can adopt and see the results behind it quickly, to encourage further transformation.
When you're changing something big (like a development process that is stable, consistent and filled with people, resources, operational and deployment plans, etc.), you want to change it either radically, or chunk by chunk. Radical changes are easy to decide yet hard to pull off while preserving business continuity, it's a bit of a gamble not everybody is willing to take. So, many executives want the "transformation" to actually be "step by step evolution". And one of the first steps are standups and enhancing the planning.
All of the above doesn't debate the fact that there are companies which get Agile terribly wrong, and companies which can't get Agile right due to extremely rigid structure. However, not all companies who fail to visibly transform into Agile in a few easy steps are like that: sometimes they're stuck on early iterations, slowly working their ways further while preserving continuity and market momentum, and there's nothing wrong with it.
* Identifying threat model (assets we are protecting, what we are protecting them against), that connects to practical business values and risks, not abstract "security ideals". In our case it was understanding what kind of data we're afraid to lose / get tampered with to what extent - for some things we might've lost a license, for other things our CEO might've had a criminal case, so different measures applied.
* Orchestrating practical security with compliance (was relevant for that product, banking -> ISO, PCIDSS and local personal data protection regulation).
* Making hard decisions on whether doing it internally (we've had these competences) or outsourcing some of the implementation work to specialized outfit. Did it internally, was great experience, but would think twice to repeat.
* Making stakeholders understand how much the showstoppers, which emerge along the way, are important to be taken care of.
In the retrospect many decisions which might have simplified current moment's problems are obvious, but in reality of those decisions in the past they never are. This feeling (it's called the retrospective predictability) is not a function of current problem or previous wrong decisions, but the random reality of events in complex systems, open source software implementing fresh ideas in a new way is being random and complex enough for this.
Nobody knew it was even available?
Collecting data in some form and re/de-normalizing it in some useful fashion isn't exactly huge problem if you're not NetFlix or Google (and isn't huge problem even then).
It just requires certain amount of education.