DaedTech

Stories about Software

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In Devs We Trust

The idea of getting certified in “Scrum” or “Agile” is philosophically unsettling to me.

It’s not so much that I think learning how experienced people execute these processes is a bad thing (I’ve even signed off on such a course for an employee’s career development aspirations), but rather the overtones of such a certification. Certifications are formalized recognition of program completion and endorsements of those that have done the completing. It’s like saying, “congratulations — you have rigorously followed the formalized, rigid process necessary to be agile!”

Why Certs Unsettle Me

Against the backdrop of the original agilistas rejecting button-up formalism for pragmatism and efficiency, this is sort of like a high school principal commissioning a “Responsible Pot Smoking and 3rd Period Ditching” course as part of the core curriculum.

The reason this is unsettling to me rather than comically ironic is that it supplies surprisingly fertile ground for re-growing all of the mistakes of the waterfall era by masking the true nature of those mistakes. The idea that it’s possible to nail down every last detail of a complex software system prior to writing it is cringe-worthy in its naivete (at least this side of a space shuttle), but it’s not really the core problem.

The core problem is the idea that a software project can’t succeed without planning every detail prior to implementation.

A Lack of Trust

This attitude belies a fundamental lack of trust in the people doing the implementation and, further, a suspicion that these people are incompetent malingerers. As an industry, we need to set aside a few high-wage “architects” to create a specification that will allow the drooling imbeciles, or “programmers,” to perform the mindless, labor-intensive task of writing software.

It evokes classic imagery of pyramid construction. Pharaoh and his great builders have the vision, and they just need whips, the wheel, and the backs of a few tens of thousands of fungible, expendable drones to make it a reality.

The fundamental problem with the waterfall approach isn’t that we want to plan out the pyramid but that we want to treat software developers like stone-haulers, as if implementing an efficient self-balancing tree were akin to pushing rocks.

Everything about this “classic” approach to software smacks of this fundamental lack of trust.

  • Why plan everything out ahead of time in excruciating detail?
  • Why come up with elaborate, painfully detailed processes and mind-numbingly detailed “design documents?”
  • Why lay everything out in such a way that there is absolutely no room for creative license or spontaneous thinking?
  • Why come up with CMMI level 5?

You do this to prevent people from “getting any ideas” and thinking for themselves — you do it because you don’t trust them (and you probably don’t trust them because you approached hiring them the way you’d approach finding cut-rate car insurance).

The Agile Manifesto, Revisited

If you go read the Agile Manifesto, you’ll see something that’s relatively vague, but underpinned by a consistent theme: “we work best when you trust us, collaborate with us and talk to us.”

It begs producers and consumers to back away from heavy documentation, plan, and process in favor of adaptability, collaboration and thinking on the fly. It implicitly asks that consumers of software trust producers of software and rely on their discretion.

Certs Miss the Point

So fast forward to present time and a world where you can depend on a thriving cottage industry to come in and bless your organization by making you “Agile Certified.” Why would you do this?

Why bring people in and have them tell your developers in specific, painful detail exactly how to conduct meetings and follow the processes that will allow them to be certified agile practitioners? Why spell out exactly how they can go about being agile? You do it because you still don’t trust them.

Scrum and XP are approaches that have merit because they generally consist of individual, specific practices and ideas that may help a team.

Pair programming/peer review, test driven development, making problems visible, etc are potential tools in the tool belt of a solid software developer. Agile practices/processes have value not because they’re the secret sauce that’s going to allow you to deliver version 6 on time where versions 1 through 5 have been lawsuit-inviting nightmares, but rather they have value when and because they force you to trust the software developers to get things done, to try hard, to provide honest answers and, generally, to be professionals.

SwankyToolBelt

There is No Secret Sauce

There is no up-up-down-down-left-right-left-right-b-a-b-a-start (I honestly did that without looking it up). There is no achievement to unlock, no box to check, and no certification to buy.

Organizations don’t get off that easily because what they need to do is much harder to quantify as a line item, objective, or KPI. Fortunately, hard as it is to package up and roll into an annual report, it’s really easy to explain.

Organizations have to hire software developers that they trust, clear nonsense and obstacles out of their way, keep them happy, and then trust them to develop software. That’s it.

I’m not saying this is actually easy to execute. Refining a candidate selection process to the point where you bring in competent, hard-working candidates with a high degree of certainty is quite a difficult problem.

Keeping them happy is no simpler. Setting them up for success just keeps increasing the difficulty level. And paying for all of this is really going to make you wince since it’s not possible to short-cut the system by bringing folks in cheap and then, real-quick, getting them certified in “you can trust this person to make good decisions about writing software.” Perhaps hardest of all, though, given our historical culture of micro-management and death-by-process, is actually doing the trusting.

Trusting the Dev Team is the Way Forward

But it has to be done. It’s the only sane way forward.

If you want to get a piece of software written, find some software developers you respect and trust and task them with developing software for you. If they know what they’re doing, they’ll figure out how to validate and verify their work, how to evaluate and improve their process as they go, how to limit distractions and work in progress, how to know when they’ve delivered on what they promised, etc.

They might do this by Scrum or by XP or by something that they invent on the fly, mixing and matching and innovating, but they’ll do it. They don’t need elaborate process or ceremony instruction and they certainly don’t need to be ‘certified’; they need you to trust them and let them work as they see fit.

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Agile: False Hope and Real Promise

I went shopping for jeans last weekend, which was, as always, somewhat of an aggravating experience. It’s not just jeans, but, really, any wearable thing: shoes, work shirts, belts, even socks. The source of my irritation is the fact that I can’t simply replace items I have that are worn out because the thing you bought last time is always decommissioned. Strangely, major things like cars have better staying power than clothes. There’s a very simple use case missing: As a shoe wearer, given that I love a pair of shoes and thus wear them out in 2 years, I want to go back to the same store and buy the exact same pair of friggin’ shoes so that my life is not interrupted. And the software of life fails to perform.

The reason for this is the nebulous concept of fashion. Naturally, wearable manufacturers and retailers don’t want to be ‘stale’ so they churn things at a rate that prevents me from being pragmatic with my shopping and turns my trips into maddening treasure hunts instead of simple errands. So I contemplate fashion a bit with a natural bias toward annoyance, and this has informed a pretty cynical take on the subject. I have an ongoing hypothesis that the thing that drives fashion isn’t some guy sitting in Paris, saying “I’m going to make those idiots wear really tight jeans this year and then laugh at them.” Instead, its the shifting tectonic plates of poor people trying to look like rich people and rich people trying not to look like poor people.

By way of narrative, guy in Paris releases skinny jeans and charges $700 for them. They’re new and expensive, so rich people buy them so that they can be seen wearing new and expensive things — signaling their wealth and cosmopolitan tastes. Bulk clothing manufacturers start knocking off Paris designer and selling it to the masses for $39 a pair and they sell out like crazy as everyone wants to ape the A list celebrities and influencers wearing these things. Rich people get annoyed that they’re no longer distinguishable on sight and this demand drives Paris guy to dream up some new, weird thing that they can buy to look rich. Rinse, repeat.

FashionKing

This narrative isn’t limited to the arena of rich and poor people with clothes, however. It also extends to things like industry thought leadership and buzzwords. Crowd of cool kids starts doing something and succeeding/making money. They give it a name and everyone rushes to mimic their success, adopting this thing. Imitators adopt it en masse, bring mediocrity and misunderstanding to it, and the cool kids lament that everyone is getting it wrong and that it’s time for another industry shake-up. Queue the “Is {Insert Tech} Dead” link bait and search for the next great thing.

“Agile” is probably the poster child for this sort of thing in the development world. Back around the turn of the millennium, various industry thinkers were experimenting with ways to move software development away from software development practices that mimicked construction and physical engineering since the results produced by this traditional, “waterfall” approach were spotty at best. A group of representatives of some of these experiments came together to find common ground and the result was called, “The Agile Manifesto.” In the interceding 13 years, the industry has come to accept that the Agile approach is “the right thing” while agreeing that, by and large, no one does it right.

Off the top, I’ve heard the following expressed recently (paraphrased from my recollection):

  • Agile is dead.
  • Scrum is a scam that makes grunts stand while they deliver their status reports.
  • If XP doesn’t work it’s because you’re doing it wrong.
  • Agile is stupid because you really can’t work sanely without comprehensive documentation and specs.
  • Agile is a marketing gimmick to create phony demand for meaningless certifications.

And yet, you’d be hard-pressed to find any non-agile shop that didn’t look down shamefacedly and mumble “yeah, we do waterfall.”  So, the reasonable conclusions from this are:

  • Waterfall (or pseudo-waterfall things like RUP) are really out of style.
  • Agile is mainstream, but the real fashionistas are so over it because everyone’s messing it up and ruining it.
  • Cool kids are looking for what’s next: a post-Agile world.

Agile, Distilled

I’m not certified in Scrum or XP or anything else. I have no project management credentials and no letters after my name. I certainly have experience in these methodologies and understand the ceremonies and the roles, but I’d hardly count myself an encyclopedia of how everything should operate. It’s always bemused me that arguments emerge over the finer points of the exact approaches to these methodologies and that people can actually be certified in exact adherence when the focus of the Agile Manifesto seems to me to be best summarized by the idea of bringing pragmatism and empirical experimentation to software development. But, opportunities for snark notwithstanding, it’s easy to see why people become disillusioned. Anytime there is some sort of process and any failures are blamed on a lack of true, absolute adherence, you have a recipe for quackery.

But at it’s core, I think Agile methodologies can be distilled to a single compound principle: tighten the feedback loop and improve the feedback. Think about the different things that are done in various flavors of agile: automated testing/TDD, short sprints, pair programming, retrospectives, big/visible charts, etc. All of it is about delivering feedback faster, delivering feedback more obviously, and acting quickly on the feedback. This is really, really non-controversial. The sooner you get feedback on what you’re working on, the sooner you can improve. So, where does everything go off the rails?

Is it that things don’t go well because people aren’t following the processes right? Is it that the processes themselves are broken? Is it that the processes are good, but a bunch of hucksters are peddling fools’ gold? Is it that people are just too entrenched in their ways to be compatible with these principles? Personally, I don’t think it’s any of this. I think that the fundamental problem is one of expectations (though some of the hucksters do nothing to mitigate this). Specifically, I think the main source of woe is the assumption that “going Agile” will cure what ails you because the only thing standing between the broken, over-budget pile of crap you’re about to ship and software nirvana is having a different set of meetings and adopting a different desk arrangement. The Agile promise isn’t realized by tweaking process; it’s realized by getting a scheme in place for receiving meaningful feedback and using that feedback, with a lot of practice, to get better at making software.

10,000 Hours

Wait, what? Practice? That doesn’t have anything to do with Kanban boards, swim lanes, stand-ups, and all of the other Agile stuff that gets so much focus. In the words of the esteemed Alan Iverson, “What are we talking about? Practice? We’re talking about practice, man.” The wide world is talking about the magic dust you can sprinkle on a team to make it crank out better software, faster, and I’m in here talking about practice.

During my semi-weekly drive to Detroit, I’ve been listening to audio books, including, most recently, Malcom Gladwell’s “Outliers.” Without offering up too much of a spoiler, one of the things that he talks about is that people like Bill Gates don’t reach the incredible levels of success that they do by being dominant in a vacuum, but rather they combine incredible fortune and opportunity with cleverness, ingenuity and a whole lot of really hard work. Bill Gates was born at a time where him being a teenager coincided with the very first machines that allowed for desktop based computing, rather than punch cards. He had the incredible good fortune of gaining access to such a computer in the late 60’s, as a teenager, when almost no adults or professionals on Earth had such access. Addicted to the fun of programming, he worked nights and weekends during his teenage years, programming, at a time when few others in the world had that opportunity. By the time he was an adult, ready to start Microsoft, he was one of the few people on Earth with 10,000 hours of experience programming this way.

The hypothesis for which the book is best known is that 10,000 hours of deliberate practice is the general average amount of time put in before a person acquires mastery of a field. As I understand it, there has been some corroboration of this hypothesis as well as some counter-evidence, but the broad point remains that achieving mastery requires a whole lot of deliberate work and concerted, sustained effort to improve. You know how you get really good at delivering software? Do it for years and years, constantly learning from your mistakes. You know how you don’t get really good at delivering software? By having slightly different meetings, shipping crap more frequently, and hoping for different results.

The way I see it, big A Agile, at its core, is not about fixing you or your software. It’s about making your practice more meaningful and efficient. To return to the basketball metaphor, Agile isn’t a weekend retreat that turns you into Michael Jordan. It’s a weekend retreat that shows you how to do a bunch of layup and dribbling drills that, after 10,000 hours of practice, will make you pretty good, as long as you keep challenging yourself. The great shame of Agile or any other kind of movement is that of false hope in easy fixes. Done well, it will expose your pain points more quickly, provide you with tools for removing obstacles, illuminate a path to improvement, and show you how to self-evaluate regularly. But it won’t make you awesome. Only practice and continuous learning will do that.

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Opening Word is Software Development Fail

I’m going to perform a slight experiment on myself in this post. As I type this second sentence, I have only a general idea for a post in mind, and I’m going to go out on a limb and say that this will be a relatively short post. I won’t come back and edit this paragraph if it turns out not to be, however. I’ll just look stupid. I’m going meta here because my posting cadence has slipped and I’m going to aim to combat that by mixing in some relatively short posts that are quicker to write and read. I’ve tried this before, and it’s sort of like a yo-yo diet where I cut back for a bit and then just kind of bloat back out to where I was. Anywho…

Over the course of my career a fairly common thing that I’ve done at a new company is to set up a wiki for collaboration. Almost invariably, this wiki replaces or, at least, aims to replace a series of Word documents. It’s as though there’s some kind of knowledge collection progression that goes, “nothing, README, Word, Wiki (or, perhaps, Sharepoint),” and I make my home at an organization just long enough to say, “hey, there’s a better option than shared drive/source controlled Word documents.” Why is the next step better? Searchability, not needing that “version history” table at the top, sane linking, changing the emphasis to content over styling, etc.

antiword

But, I had a thought today that I’d been sort of missing the point all these years. It’s not that wiki isn’t good, by any means, as a collaboration tool, but it’s that I’m often using it to mitigate the symptoms rather than treat the illness. If, as a developer, you find yourself opening Word to document a process, you’ve failed. If you optimize by documenting in a wiki, you’re just failing in a more searchable, sophisticated, and open-source way (unless you use Sharepoint, and then not open-source and maybe not sophisticated… hiyo, just kidding, but kind of not kidding.)

Is this a harsh thing to say? Certainly. Could you argue that I’m link baiting once you hear what comes next? Probably. But I think there’s an element of truth if you allow yourself to de-stigmatize the word “failure” and interpret it without a value judgment. For instance, today, I failed at being someone with 10,000 RSS subscribers to my blog. It’s true, but not damning. Developers documenting things with Word fall into this same category. You’re failing when you do this, and what you’re failing to do is automate.

I’ve blogged about a similar line of thought with code comments in the past. Comments in method bodies are basically developers saying, “I’m going to punt on making this code expressive and just kinda cheat by explaining this mess in English.” So it goes on a broader level with Word documents. Why do you write Word documents, after all? It’s to explain how to setup your development environment or how to perform a deploy. Maybe it’s to document what needs to happen whenever you add a new feature to the code base or in the event that you need to rollback to a previous version of the application. Whatever it is, you’re faced with some kind of procedure and you declare, “there’s a precise sequence of instructions that needs to be executed, and, as a programmer, I’m going to write them in English and use the next poor sap that happens on them as the runtime interpreter.”

I mean, think about it. If your process is defined well enough to merit a series of numbered steps in a Word document, it’s probably defined well enough to automate. Now, it might be that it’d take you three months to automate and 30 minutes to make the Word document. It might be that there are steps you lack the authority or permission to automate (or even do). It might be that you’re making a user manual or API document. There are any number of practical reasons that you’re not some kind of failure as a person for cracking open Word and explaining how to do something with a computer. You’re not a failure, but you have failed. For whatever reason, you’ve failed to automate. So next time you find yourself reflexively starting Word to make some sort of “writeup” about a technical thing, pause and ask yourself, “would automation of this process be possible and worthwhile?” It might not be, but then again, you might be surprised to find that the answer is “yes.”

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Imagine a Process Regression

I was recently out to dinner with some friends that are fellow techies, and we were talking about software development methodologies. One of them, who works in a shop that practices pretty true-to-form Scrum, was talking about how management via the product owner was starting to put pressure on them to produce certain, lower point estimates during the planning poker game. He said that it struck the younger team members who’d only worked there as extremely strange and that he personally felt that the powers that be were sort of trying to steer them to a more “waterfall-ish” style. I had a random thought and, rudely, burst out laughing during his anecdote which was, in no way, intended to be funny.

The thing that I had thought of, I explained to my confused friends, was how incredibly weird and counter-intuitive moving to a waterfall development methodology would seem to his teammates who had come into the software development world knowing only Scrum. It’d be like coming home one day and telling your family that you were through buying soap because from now on all you needed was some lye, some elbow grease and the river on the other side of town. Of course, there would (and has been) culture shock going from Waterfall to Agile, but that’s mostly born of a kind of “that’s an impossible pipe dream” mentality. Going the other way has more of a “you want to do what…. and why?” vibe.

Think of this. You’ve never known anything but a disciplined agile approach to software. You have an automated build and deployment setup. Every time you check in code, the build executes, unit tests are run, and the code is pushed to a test environment for exploratory QA and validation of user stories. Checkins are frequent, collaboration is ubiquitous and refactoring and cleaning the code is something you do on a regular basis. Once every other week, you ship the code and it’s no big deal. The (business) day after shipping, you and the team collaboratively plan what you’re going to do for the next two weeks, trusting that someone is prioritizing the work you wind up doing toward a larger technical product/vision. Your users see regular progress and give you regular feedback, creating a tight communication loop and eliminating surprises. And, if the users change their mind about the features they want or don’t like what you’ve done over the last two weeks, you simply spend the next two weeks steering methodically back in the right direction. But don’t worry, that’s all about to change!

Forget about all of that bi-weekly shipping nonsense. We’re going to ship once, as far as we’re concerned. A second shipment is by no means a given because frankly, the first one is rather likely to fail and anger the users. So, let’s not concern ourselves with anything but the first shipment. For the first month or so, we’re going to gather the requirements for the project. We’ll skip through a meadow, plucking them off of the beautiful flora and placing them in our baskets. That’ll be a good month. At the end of that month, we’ll tell our users that they’d better be sure that our endless array of diagrams and thousands of statements about what the software “shall” do matches exactly what they want because once we move onto the next phase, there’s no going back or changing their minds without either expensive change requests or lawyers.

Next up comes the design phase. This is the part where we spend a month figuring out how to write all of the code that we’re going to write over the next several months, but without actually writing that code. While this may sound nuts, the reason that we have to do this is because the labor is going to be divided up in such a way that everyone will kind of go off into their own silo and write code for months prior to an extended “integration phase” where our architect, Dr. Frankenstein, assembles the various individually created pieces into a reasonable attempt at a piece of software and then attempts to breath life into it. In order for that task to be as minimally gruesome as possible, a lot of planning is needed.

The next phase is implementation. Implementation phase is where we start coding and the previous two months of ‘work’ become completely irrelevant. Everyone codes in their silos until integration time. Some attempts are made at early integrations, but those are abandoned when it’s discovered that they are time consuming and the project managers are worried about the fact that they’re already behind schedule. Everyone will then pray that somehow we make up the time that we’ve gotten behind at integration time, but, who are we kidding? That’s not going to happen. The next phase will ideally be the testing phase, but we won’t have time for that. Instead, we’ll start the death march phase, where everyone works 14 hour days, 7 days a week up to the deadline.

Then, my friend, we ship. Tada! Ooh, that wasn’t supposed to happen. Heh, heh, weird. I’m sure the rest of it will be fine if I just — ooh, yikes. What do you mean this screen doesn’t look at all like what you were picturing? Heh, heh, maybe we can reschedule this demo. This is the phase where the thing we chucked over the wall, behind schedule and with a minimum of testing, blows up in our faces. After another month or so of death march following the release, we manage to wrangle the software into a state where, while the source code looks hideous, it’s at least stable and no one is screaming at us anymore.

There, doesn’t that sound better than the one where you’re shipping software every two weeks and not working 90 hour weeks to make up for the fact that you’re not actually very good at predicting the future? But of course, I kid. It was just an interesting exercise for me to think of how the world would seem going from agile to waterfall. Agile methodologies are inherently developer-centric when done correctly. Developers like quick feedback, routine shipments, and process automation because this makes for sustainable, incremental progress. The main complaining I hear from waterfall developers isn’t that agile doesn’t sound good — it’s that it sounds too good to be true. Usually it’s things like “we couldn’t do agile because we’re a shop that does _______” where the blank is some excuse that isn’t actually reasonable unless the company is shipping Mars Rovers. So if you’re already doing agile — you’ve already seen how well it works — going back would seem certifiably crazy. And, you know what? I like that there’s a generation of developers out there that think Waterfall is just a bed time story that the old timers use to scare the newbies into behaving.

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Defining Done for Your Deployment Process

A Tale of Debugging

The other day, someone came to me and told me that a component of one of the web applications that my team maintains seemed to have a problem. I sat with her, and she showed me what was going on. Sure enough, I saw the issue too. It was the kind of integration thing for which we were able to muster up some historical record and see approximately when the problem had started. Apparently, the problem first occurred around the last time we pushed a version of the website into production. Ruh roh.

scooby

Given that this was a pretty critical issue, I got right down to debugging. Pretty quickly, I found the place in the code where the integration callout was happening, and I stepped through it in the debugger. (As an aside, I realize I’ve often made the case against much debugger use. But when legacy code has no unit, component or integration tests, you really don’t have a lot of options.) No exceptions were thrown, and no obvious problems were occurring. It just hit a third party API, went through it uneventfully, but quietly failed.

At this point, it was time for some tinkering and reverse engineering. When I looked at the method call that seemed to be the meat of the issue, I noticed that it returned an integer that the code I was debugging just ignored. Hovering over it, XML doc comment engine told me that it was returning an error code. I would have preferred an exception, but whatever — this was progress. Unfortunately, that was all the help I got, and there was no indication what any returned error code meant. I ran the code and saw that I was getting a “2,” so presumably there was an error occurring.

Maddeningly, there was no online documentation of this API. The only way I was able to proceed was to install a trial version of this utility locally, on my desktop, and read the CHM file. They offered one through their website, but it was broken. After digging, I found that this error code meant “call failure or license file missing.” Hmm… license file, eh? I started to get that tiny adrenaline rush that you get when a solution seems like it might be just around the corner. I had just replaced the previous deployment process of “copy over the files that are different to the server” with a slightly less icky “wipe the server’s directory and put our stuff there.” It had taken some time to iron out failures and bring all of the dependencies under source control, but I viewed this as antiseptic on a festering sore. And, apparently, I had missed one. Upon diving further into the documentation, I saw that it required some weirdly-named license file with some kind of key in it to be in the web application root’s “bin” folder on the server, or it would just quietly fail. Awesome.

This was confirmed by going back to a historical archive of the site, finding that weird file, putting it into production and observing that the problem was resolved. So time to call it a day, right?

Fixing the Deeper Issue

Well, if you call it a day now, there’s a good chance this will happen again later. After all, the only thing that will prevent this after the next deployment is someone remembering, “oh, yeah, we have to copy over that weird license file thing into that directory from the previous deploy.” I don’t know about you, but I don’t really want important system functionality hinging on “oh, yeah, that thing!”

What about a big, fat comment in the code? Something like “this method call will fail if license file xyz isn’t in abc directory?” Well, in a year when everyone has forgotten this and there’s a new architect in town, that’ll at least save a headache next time this issue occurs. But this is reactionary. It has the advantage of not being purely tribal knowledge, but it doesn’t preemptively solve the problem. Another idea might be to trap error codes and throw an exception with a descriptive message, but this is just another step in making the gap between failure and resolution a shorter one. I think we should try avoid failing at all, though having comments and better error trapping is certainly a good idea in addition to whatever better solution comes next.

What about checking the license file into source control and designing the build to copy it to that directory? Win, right? Well, right — it solves the problem. With the next deploy, the license file will be on the server, and that means this particular issue won’t occur in the future. So now it must be time to call it day, right?

Still no, I’d argue. There’s work to be done, and it’s not easy or quick work. Because what needs to happen now is a move from a “delete the contents of the server directory and unzip the new deliverable” deployment to an automated build and deployment. What also needs to happen is a series of automated acceptance tests in a staging environment and possibly regression tests in a production environment. In this situation, not only are developers reading the code aware of the dependency on that license file, not only do failures happen quickly and obviously, and not only is the license file deployed to where it needs to go, but if anything ever goes wrong, automated notifications will occur immediately and allow the situation to be corrected.

It may seem pretty intense to set all that up, but it’s the responsible thing to do. Along the spectrum of some “deployment maturity model,” tweaking things on the server and forgetting about it is whatever score is “least mature.” What I’m talking about is “most mature.” Will it take some doing to get there and probably some time? Absolutely. Does that mean that anything less can be good enough? Nope. Not in my opinion, anyway.