[mdlug] Version control: tools and training

Jeff Hanson jhansonxi at gmail.com
Wed Feb 22 23:54:14 EST 2017


I would be interested but since I live 200 miles away with a very
unpredictable work schedule I can't commit to it.  While I have some
experience with Perforce it's only for binary CAD files, not software
development, so I don't know the more complicated aspects of its source
code handling.

On Wed, Feb 22, 2017 at 4:32 PM, gib at juno.com <gib at juno.com> wrote:

> Sounds like a presentation to me.
>
> Do you plan to present at Penguicon.org or MUG.org?
>
> ---------- Original Message ----------
> From: Derek DeJonghe <mittendevelopment at gmail.com>
> To: "MDLUG's Main discussion list" <mdlug at mdlug.org>
> Subject: Re: [mdlug] Version control: tools and training
> Date: Tue, 21 Feb 2017 20:36:38 -0500
>
> Hi there,
>
> Long time listener first time caller, so I'll explain a bit about my
> background and why this topic has caught my attention. I work for a small
> cloud consulting company out of Ann Arbor that specializes in Software as a
> Service (SaaS) enablement and DevOps (as loaded as that term is). My
> portion of the company defines and deploys infrastructure and system
> configuration as code, and helps development teams with Continuous
> Integration and Continuous Delivery (CI/CD). We follow a well defined
> software development lifecycle (SDLC). As a consultant I often find myself
> embedded in organizations that need to adapt their practices and delivery
> to survive. We help enable companies to increase their packaging and
> release rate from quarterly multiple times a day.
>
> In today's industry, I've seen a large shift to Git over all other source
> control. Why is that? As Bob pointed out, it's distributed, it's also
> extremely lightweight, and fast to switch between branches. Git stores
> content as metadata and SVN just stores files, this means that branches in
> SVN are pretty much just folders. Git's contents are cryptographically
> hashed for integrity and can be verified, where network or disk issues can
> impact SVN integrity. Other comparisons such as TFS (only really a
> contender because of windows integration... but TFS 2015 server introduced
> Git so..) have kind of just fell to the wayside.
>
> Either way once you've chosen a source control flavor, you need to
> introduce a branching strategy or your team is likely to fall back into the
> same processes that they already use just with their code backed up and
> automatically merged. I strongly recommend GitFlow to all of my clients.
> GitFlow focuses on feature branches and allows developers to branch off of
> a main line, do work, and merge back in when finished. This helps to limit
> "Dead code" in your project, stuff that's half implemented and not called
> so on and so forth. One would branch off of and merge back into a "main
> line branch" called develop, on the develop branch code would be tested for
> integration in a real environment if passes, it flows up through different
> branches or environments with different tests along the way, if it fails it
> gets kicked back to devs and is not a release candidate. Usually before
> code is merged into the main line it's tested and peer reviewed.
> https://www.atlassian.com/git/tutorials/comparing-workflows#
> gitflow-workflow
>
> Tagging and versioning, you'll need to tag your repository with version
> numbers. My suggestion is semantic versioning, it's widely used and
> excepted standard. http://semver.org/ Ideally every time code is merged
> into develop your code would be tagged with a version. Once it's in the
> main line it it's either a release candidate or not however it will not
> change as it goes up through the other main line branches and therefore
> only needs to be tagged upon first entry. Once it reaches the master branch
> it's a release, anything on master should be deployable code.
>
> Testing, we use CI servers like Jenkins (my prefered), Bamboo, CircleCI,
> Travis, etc they go on and on, to build and test code. Before a branch can
> be merged in it should pass at least unit testing, then is reviewed by a
> peer. A CI server can drastically reduce the time to market with features
> and bugfixes because all that "It's compiling" time where devs sword fight
> on roller chairs and then run tests on the result is pushed off to a server
> that does this for a living then pushes back a pass or fail result. When
> it's a pass it moves on to be merged, once merged it may go through another
> set of tests and produces a versioned artifact.
>
> The continually produced artifact is the CD (continuous delivery) portion,
> that is continuously delivering artifacts. For this you'll need another
> type of repository. Do not put artifacts in your source control... they're
> not source. You need a blob storage for that. There are servers out there
> that are really nice and feature rich such as artifactory (
> https://www.jfrog.com/artifactory/), however, I do not think they're
> necessary. A simple blob storage will do because your artifact is already
> versioned. A well defined security policy around something like an Amazon
> S3 bucket will do, it has 11 9's of durability so unless you tell it to
> it's not going to lose your artifact.
>
> This is my preferred approach to the source control and artifact management
> side of the Software Development Lifecycle (SDLC).
>
> In Industrial Automation (PLC n such?) I assume you do not have the luxury
> of a high release rate, which means that your software needs to be
> extremely well tested before delivery. Depending on the type of industry if
> you're software isn't extremely well tested it could cause quite a lot of
> damage which means a rigorous process like this could be extremely helpful.
> CI/CD systems and a branching strategy like this can drastically increase
> productivity and time to market. For books look into GitFlow if it sound
> right for you, a large portion of the software industry is using it and
> there are books out there, lots of them small free ebooks. If you read into
> gitflow and find it's too strict or complex there are variants on it that
> are easier to grasp and adhere to.
>
> Derek DeJonghe
>
> On Tue, Feb 21, 2017 at 5:04 PM, gib at juno.com <gib at juno.com> wrote:
>
> > Sounds like a presentation . . .
> >
> > ---------- Original Message ----------
> > From: "Dr. Robert Meier" <list1c30fe42 at bellsouth.net>
> > To: MDLUG's Main discussion list <mdlug at mdlug.org>
> > Subject: Re: [mdlug] Version control: tools and training
> > Date: Tue, 21 Feb 2017 12:13:54 -0500
> >
> > Dave,
> >
> > Version control is a wide field.
> > This is a first summary.
> > Further details  will follow.
> > Your response beforehand will help direct details.
> >
> > There are many proprietary tools available for industrial software
> > management.
> > My experience has been mostly with IBM Rational (in the 90s
> > called Smart) and I can recommend it for its ease-of-configuration,
> > line-level resolution, support of plug-ins/custom scripts.
> >
> > There are many open source tools available for industrial software
> > management.
> > My experience has been mostly with svn, git, and cvs.
> > I can recommend all of the above especially:
> >         svn - centrally mastered with support for field-editing
> >         git - distributed master with support (via svn bridge)
> >                 for central control
> >         cvs - centrally mastered, scriptable, with svn interface
> >
> > There are two basic divisions for version control and nearly all
> > tools support both, but usually are heavily biased toward one side.
> > The better tools (including those named above) will interface
> > (e.g. via bridge, virtual agent, ...) seamlessly with their
> > opposite number.
> >
> > 1. (svn, rational)
> >         central master - One host has the master copy of all files.
> >         editing - files are "checked out" for editing
> >                 usu. each file can be simultaneously checked out by
> >                         only one user
> >                 better tools (rational, svn) support "merging"
> >                         when two editors conflict
> >         branches - identify SEQUENCES of fileset changes
> >         labels - identify STATES of fileset changes
> >         security - central reading and writing restrictions
> > 2. (git)
> >         distributed master - Each file master may be on different host.
> >         editing - files are copied (individually or en-masse) for edit
> >         security - separate from revision (since file master is mutable)
> >                 usu. rules applied to pulls toward "master" host
> >         temporary repo - contain SEQUENCES of fileset changes
> >         archive repo - contain STATES of fileset changes
> >
> > Training is available online for both approaches.
> >
> > Hopefully helpful,
> > --
> > Bob
> >
> >
> >
> > On 02/21/2017 08:34 AM, Dave McMillan wrote:
> > >
> > >      This... is going to be rather off-topic, but this is the most
> > > likely group I know of to ask about this.
> > >
> > >      I work for a Detroit-area industrial-automation company that's
> > > never really been a software development house, but now finds itself
> > > becoming one unexpectedly.  So I've been tasked with finding a way to
> > > bring us into the 21st century. :-\
> > >
> > >      So, I have a small group of "developers" that are essentially
> > > self-taught, and have spent their careers doing mostly one-off software
> > > projects and managing their own versions and backups independently (if
> > > at all), often mostly inside their heads.  Plus a larger number of
> > > "debuggers" that have less programming skill, but get much more time on
> > > the active machines, who will be the people who do most of the
> > > bug-finding and reporting, and installing/testing updates and bugfixes
> > > pushed out by the developers.  And customers that want levels of
> > > traceability and documentation that, frankly, we've *never* done.
> > >
> > >      Just to ice the cake, this being industrial automation means that
> a
> > > lot of our source code is tied up in proprietary languages that are
> > > recorded in proprietary binary formats and not generally accessible by
> > > 3rd-party tools like (for example) git.  So I'm in the position of
> > > possibly being forced to maintain an entire *ecosystem* of different
> > > version-control systems with brand-specific branches for different
> > > pieces of equipment.
> > >
> > >      And did I mention that while *some* software has to be
> > > centrally-controlled, other parts of the *same* software have to be
> > > field-editable on a machine-by-machine basis?  And I have to track
> *all*
> > > of that.
> > >
> > >       So, right now, my biggest concern is less the *tools,* than the
> > > *training.*  Whatever tool (or tool set) we end up choosing (and there
> > > I'm at the mercy of the beancounters), I think my *bigger* problem is
> > > the total lack of any in-house *culture* for version control,
> > > multi-person developer/debug teams, and obsessive
> > > tracking/documentation/etc.  And I, frankly, am just as clueless. So,
> > > I'll put it to people who (hopefully) know more about this kind of
> thing
> > > than I do:  where do I *start*?  Are there training programs, or
> > > certification courses, or even just a *really good* O'Reilly book that
> I
> > > can use to get myself off square one?  And does anyone know of any sort
> > > of training curriculum for bringing this sort of cultural shift into an
> > > existing "herd of cats" development team?
> > >
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