Slashdot Asks: Are DevOps, Agile, and Lean IT the Same Thing? (zdnet.com)
ZDNet writes:
There have been three great movements shaping the information technology landscape. There is Agile, which emphasizes collaboration in software development; Lean IT, which promotes delivering software faster, better and cheaper; and DevOps, which seeks to align software development with continuous delivery...
These three movements have their own advocates, methodologies and terminology. But when you think about Agile, Lean IT and Agile, aren't these all the same thing, essentially? They all have the same goals, which is to deliver high-quality software on a continuous basis, collaboratively. Is it time to chuck the terminology and semantics and bring these three activities under the same roof?
Their article cites "advocates" -- two authors who have both written books about Lean It -- who are pushing for the concepts to all be brought together into a single mold. But it'd be interesting to get some opinions and real-world anecdotes from Slashdot's readers. So leave your own thoughts in the comments.
Are DevOps, Agile, and Lean IT the same thing?
These three movements have their own advocates, methodologies and terminology. But when you think about Agile, Lean IT and Agile, aren't these all the same thing, essentially? They all have the same goals, which is to deliver high-quality software on a continuous basis, collaboratively. Is it time to chuck the terminology and semantics and bring these three activities under the same roof?
Their article cites "advocates" -- two authors who have both written books about Lean It -- who are pushing for the concepts to all be brought together into a single mold. But it'd be interesting to get some opinions and real-world anecdotes from Slashdot's readers. So leave your own thoughts in the comments.
Are DevOps, Agile, and Lean IT the same thing?
But they all stem (in part) from the same root-cause: A slow realization that IT personnel is routinely not very good and that you would need far less IT people if the were really good. Of course, the usual implementation does it completely wrong by paying peanuts and then being surprised when they get monkeys.
Most ACs are not even worth the keystrokes to insult them. Be generically insulted by this and ignored otherwise.
They really are all part of the same thing.
But this "splitting" it up into different fields is an attempt by some people to over-specialize.
Over-specialization, in turn, is an attempt to get paid more for doing less.
Lean IT is about delivering quickly and cheaply, Agile about delivering high value compared to the costs, devops about taking responsibility for your work. If you start with one of these methods and take it to its logical conclusions, you'll end up with something that isn't very far from the others.
The idea that you can start with a mishmash of all three is probably not productive - there's a kind of learning journey you have to go through - but I'm willing to change my mind if somebody delivers proof.
They are all bullshit ideas from management that do not work in reality
from tfa..
Well, two of them are ..
The problem with slashdot is that most of its users were bullied and stuffed into lockers as kids!
it works only if the practicioners (teachers or coders) are phenomenally good. That is to say, in the real world where most teachers or coders are average, most of the times it doesn't. That's why there are so many failed Agile projects out there, for the odd one that functions well.
I thought the development world had realized that by now: are we still under the spell of this fad?? Jeez... Some things just refuse to die.
"A door is what a dog is perpetually on the wrong side of" - Ogden Nash
They are not all the same thing, but they have components which are similar, like overlapping circles in a Venn diagram. DevOps is the result of Lean IT. If you need to make things such as release cycles go faster, then you will end up with automation of manual and repetitive tasks, hence DevOps. Lean IT is largely about reducing waste. So if you reduce the size of the development cycle, you reduce the likelihood of a large amount waste occurring. From that comes Agile, small bite-size chucks of work. Although lean IT is not just about development.
Agile is a project management paradigm.
Devops is a software *delivery* paradigm.
Lean IT is an accounting paradigm.
Agile is usually in contrast to a waterfall model. Agile has quick iterations where things can change whilst waterfall has one large iteration which hopefully ends with a delivered product.
Devops is the application of development tools to managing operations. This then paved the way for things like continuous integration, automated testing and deployments, cloud infrastructure, infrastructure as code, continuous delivery etc etc i.e. operations driven by code.
Lean IT is the is the elimination of waste.
You can implement devops practices with both Agile and waterfall. Devops doesn't rely on Agile's iterative premise of essentially not knowing what you're building until it's built. If you're doing waterfall and youve come up with all the requirements before hand, written Z notation or whatever to define behaviour, front loaded the work to complete all the test plans before the code is written, why not run CI to do automated testing and deployment as the code is written?
If Lean It is the elimination of waste, why does a devops environment have to be lean? Why can't I over provision cloud or physical infrastructure and just have it sit idly by doing nothing whilst running perfect, by the book, Agile project management and Devops takes place? What does the elimination of waste have to do with Agile or waterfall style project management? Neither Agile or Devops has the goal of eliminating waste, they have goals of delivering working code.
It could be said that Agile has a goal of not writing code that doesn't need to be written but the reality of that is when doing iterative sprints often because of the model, not knowing exactly what the customer wants for instance, you're going to end up rewriting code upon discovery that your assumptions were wrong. That's waste.
All three run together beautifully and there's plenty of cross over but to say they are the same or even have the same goals is naive.
The problem with slashdot is that most of its users were bullied and stuffed into lockers as kids!
”Are DevOps, Agile, and Lean IT the Same Thing?”
Yes, they are all the same thing. They are buzzwords.
#DeleteChrome
"Agile" - Bullshit term (fake nown) stemming from the very real term "agile software development". The correct nown would be "agility" or "agility in software development" or "agile development". This is usually achieved by focusing on strict procedures and a clearly defined and limited set of tools and technologies in order to automate most tasks and be ready to quickly react to clients who don't know what they want to somehow know exactly what it may cost and when it needs to be finished. This is usually the case in the broader industry of web software development. This is why Scrum (offering those exact traits) is often used synonymous with "agility in software development" although it's just one method for agility. Albeit - done correctly - a very usefull and effective one.
"DevOps" - DevOps is the merging of administration and development through automation, standardization and ever increasing performance of computers and networks. Administrative tasks and development tasks move closer together, as both take less work and offer more enablement for IT workers. The line between development, administration and maintenance blurs, hence the portmanteau term "DevOps" - as in "development and operations". These tasks are also moved together because in the SaaS world product lifecycles are increasing shorter or in some cases perpetually changing, requireing IT experts to switch between development, maintenance and administrative tasks on a hourly basis.
"Lean IT" is a broader term describing the trimming down of IT in companies and ventures due to the ever increasing power and versatility of hard- and software. Tasks usually left to special computers and software are now increasingly being handled by off-the-shelf hardware, such as headless desktop computers serving as utility servers, upper-range consumer-grade NAS devices as essential fileservers or cheap generic web-based groupware for mission-critical document management. Stuff like this can nowadays also often be easily moved on to SaaS (aka "Cloud") offerings and back again with enough reliability and fault-tolerance that the risk associated with such an infrastructure shift is justifiable. IT gets leaner and cheaper, with less requirement for highly trained staff. A good example these days is the demise of the on-premise self-hosted MS Exchange groupware/mailserver that is replaced by web-based solutions or subscriptions purchased directly from MS and putting many high-earning MS Exchange experts out of jobs.
One could argue that all three concepts exist only because of ever increasing efficiency in digital technology, but the terms itself do describe different things.
My 2 eurocents.
We suffer more in our imagination than in reality. - Seneca
They are different schools of thought, with different origins, and different communities. That said, there is overlap, and today many "Agile coaches" are intimately familiar with all three schools of thought, although the reality is that most Agile coaches know very little about DevOps.
In fact, DevOps arose partly out of the failure of the Agile community to address the things that DevOps addresses. The Agile community is largely controlled by the Scrum community, which is highly dysfunctional, because it is driven by a set of thought leaders who have turned it into a certification mill. It is their moneymaker, and they have proven to be rigid in their thinking (not very Agile!) and treat Scrum like an ideology. The Scrum community has done enormous harm to the Agile movement, which was founded on very strong principles (the Agile Manifesto), but which ran aground in the mid-2000s because of its inflexibility and dogmatic extremism. The ideas are not the problem - the "thought leaders" were the problem.
DevOps arose out of a need by big companies to deliver Internet scale things fast, while managing their risk. This later came to be known as DevOps. They did it by looking at the whole delivery process, end-to-end, and by creating enough automation and tests so that if something passed all the tests, it was good enough to release. Automation of deployment was an essential part of that, because end-to-end test require continuous delivery - you must deploy to a test env to run such tests. If you want to run those tests continually, you must deploy continually to the test env - hence the need for automated deployment. And of course A/B, canary and scaling deployments are a natural evolution of that. All this happened inside the Googles, Facebooks, Netflixes, and Amazons, and later came to be called "DevOps".
The Agile community was caught with its pants down, because it should have been talking about these things, but wasn't - it was stuck in the same old conversations over and over again - about how to have a good retrospective, how to engage the product owner, and so on - and completely ignored the technical side of things. This was regrettable because some of the early advocate thought leaders, such as Kent Beck and Ron Jeffries, were ardent advocates of automation and technical practices, but the Scrum community co-opted the whole thing and drove it into a ditch. Eventually, the Scrum community realized they were being overshadowed by DevOps, and they started to try to get back in the game by saying that one should use "Scrum plus extreme programming's technical practices". That's kind of weird because extreme programming also has ceremonies very much like Scrum, so if one uses XP, one doesn't need Scrum at all.
Now today the Agile community is trying to take itself back from Scrum, and get on board with DevOps.
Lean IT is another similar story. It because clear that the Agile community was not addressing how to "scale" Agile. The Agile community was saying useless things like "don't do Agile, be Agile" - yet offered no insights as to how to take action on that. So people looked to "Lean" and found some answers there.
And then there are things like Less and SAFe, which were attempts by some individuals to answer the question of how to scale Agile. The Scrum community was immensely derisive of SAFe - an indication of how insular and dogmatic it is, because they felt threatened by it - and indeed today SAFe is immensely useful in organizations that build big things - large programs needs actionable models for how to apply agile ideas at scale. Yet SAFe had its own gaps, namely it said little about the technical practices, but unlike the Scrum community, the thought leaders of SAFe embrace other ideas and have added DevOps to their mix of recommended things to consider. SAFe is not a methodology by the way - it is just a model for how to think about scaling issues.
So to bring all this "under one umbrella", one must consider that for those who know these schools of thought, they
Indeed.
Most ACs are not even worth the keystrokes to insult them. Be generically insulted by this and ignored otherwise.
I've worked in a dozen agile houses at this point, and it's been my assessment that agile does have its advantages. It's good for things where there's feedback coming and running a constant qa process. When done right, a good way to squeeze a little more creativity in the process. When done badly, it's little more than project managers yelling at their developers who have no idea what to do next. Honestly, most of the time, agile is an elaborate cover to hide the simple fact that there simply isn't any kind of process going on at all.
This signature has Super Cow Powers
They all have the same goals, which is to deliver high-quality software on a continuous basis, collaboratively.
This is obviously what everyone wants and some people think waving some philosophy or methodology wand can magically make this happen. The people who kick off these pseudo-religions by reflecting upon the moments they experienced a good team making a good product, and thinking "boy if everyone pretended they were like this good team, everything would work out, here's some ways to pretend..."
If they do a good enough job naming and headlining their methodology, marketing type folks jump on board, get it out in the media, get certification mills running, advertising efforts start to coalesce around this next silver bullet that will make your terribly dysfunctional team of bottom of the barrel employees perform like the best. Key leaders get seduced by the profit potential and likely don't even realize their original vision isn't panning out.
Then when a critical mass of people observe that terrible teams are still terrible teams despite ostensibly adopting 'habits of effective people' someone inevitably proclaims a *new* methodology (which generally is the same as the old methodology) to start the cycle all over.
The reality no one wants to acknowledge is that success requires a *small* team of *really good* folks at the core. At *best* that would mean a company actually has to spend money and that is not the answer they want. At *worst* it means that the talent they need is simply unavailable at any price, or that if it is, they wouldn't have a clue how to recognize and distinguish such talent from crap.
XML is like violence. If it doesn't solve the problem, use more.
Those three are all continuations of the failed human wave ideology. Where bean counters and managers love to hear that they can toss more bodies on a problem to solve it in time. Regardless of skill, competence, concentration, ramp up time and work-motivation.
Of course this doesn't work, but complex work methodologies always leave ample opportunity for the real culprits to hide and find a scapegoat.
In real life, nothing can replace a good plan, a good developer or enough time to do things properly. Nothing.
The underlying theory that explains _why_ things work for your team is not at all obvious and deserves concentrated study.
The problem is that this is mostly understood if we are being honest with ourselves, but the money train of management consultancy is running on the illusion that you can extract the essence of a quality team and inject it into a poor team and have that work. As such books with branding aligned to the buzz word of the day will minimize the awkward reality to encourage people that they can throw some money at the peddler of the methodology instead of having to pay more for people or that perhaps the people they need to succeed don't even exist.
XML is like violence. If it doesn't solve the problem, use more.
They all belong into the same box. The one where a consultant gets a lot of money to teach you something that makes you more productive if you don't use it.
We used to have a Bill of Rights. Now, with the rights gone, all we have left is the bill.
The summary has it wrong.
According to Scrum.org, Agile is *not* supposed to improve quality, that's not one of its goals, and indeed it deliberately chooses to sacrifice quality in order to achieve it's goals.
Agile has two main goals it can achieve:
1. Working around the fact that most programmer were never taught how to properly determine requirements.
2. Getting partial implementations out the door faster, so the organization can get part of the benefit before the system is finished.
By giving up on teaching how to determine and document requirements, quality is reduced.
By purposely pushing out code before it's done, as soon as it might be somewhat useful, quality is reduced.
That's not to say Agile is bad. Getting half-finished software TODAY instead of completely finished software three months from now may be very valuable in many cases. It just doesn't improve quality.
There have been three great movements shaping the information technology landscape.
I stopped reading there.
There have certainly been at least three, these aren't among them.
Inheritance is the sincerest form of nepotism.
DevOps is a job description that merges development and system/database/cloud administration into one job. This is why we have security holes galore in modern software and web applications. One person can't learn it all, code it all, and secure it all.
Especially the former and the latter are absolutely positive the same thing :-D
It wasn't civil engineering projects that she did.
A couple of her projects included:
Building Dell's innovative customer order to inventory to manufacturing system. With this system, when a customer orders a custom-confugured computer via Dell.com, it immediately checks the inventory of parts and orders new parts from the suppliers as needed. Based on parts availability and all of the computers scheduled to be built, it then schedules that particular computer to be built on the assembly line. The assembly line scheduling optimizes for several factors to make it more efficient - orders using similar parts are batched together. Shipping is scheduled similarly. Within a few seconds after the customer places the order, the system knows when it will be assembled and placed into the box, within a margin of a few minutes.
Designing an integrated information system for Martin Marietta, an enterprise consisting of many companies in different fields, including mining and aerospace.
Her method for determining requirements was NOT asking the users' boss what they think they need.
Her methods also did NOT involve throwing shit and the wall and see what sticks (Agile, as often practiced).
The entire system was designed, in detail, based on *actual* requirements, not what some manager thought of when asked "what do you want?"
Three major parts of determining requirements included:
1. *Watching* the assembly line workers build the computers and taking detailed notes of what users *do*. (Not asking their boss's manager what they do, actually watching).
2. Documenting business inputs and outputs. Inputs include customer orders and vendor shipments. The key output is computers shipped to customers. (Note there are no integers or floats af the top level - these are business inputs, not data formats).
3. Analyzing the legacy systems, computer based and paper based, that did the same operations less well. Especially the databases were analyzed. If you understand the databases that run an enterprise, you will understand the operations of the enterprise better than any C suite executive does.