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Matthew Kocher

Did we git pair?

Matthew Kocher
Monday, April 29, 2013

“Did we git pair” is something developers at pivotal are used to hearing shortly after committing and right before pushing. After reviewing the changes, one half of the pair usually takes over the keyboard to build the commit, something that lends itself to quick successive actions that follow on with little thought once you’ve mastered git.

While we pair all the time, git is just just one of the many tools (*cough* tracker *cough*) we use that that doesn’t understand pairing. Years ago we wrote a script to make setting the git author as easy as possible, and publish it as a chef recipe in pivotal_workstation and as a ruby gem.

Once the .pairs file is set up, git-pair gives us one command to run:

Matthews-MacBook-Air-3:pivotal_workstation (gemify) mk$ git pair mk bc
global: user.name Brian Cunnie & Matthew Kocher
global: user.email pair+cunnie+mkocher@pivotallabs.com
global: user.initials mk bc
Matthews-MacBook-Air-3:pivotal_workstation (gemify) mk bc$

Anyone reading especially closely will notice that we also put the current initials at the end of the bash prompt. (using another chef recipe)

If your pair wasn’t paying attention and didn’t remind you to git pair, you can ammend the the commit to fix it. However, git won’t rewrite the author by default, you’ll need to run `git commit –amend –reset-author`. The usual caveats about amending commits after pushing still apply.

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Mark Rushakoff

An attitude shift as we approach production

Mark Rushakoff
Monday, April 29, 2013

I had the good fortune of attending a workshop about responding to production incidents, led by the folks behind Blackrock 3.  I plan to share, over several posts, what I learned with the community at-large and to apply what I learned within the Cloud Foundry team — we’re going live in the very near future, and we are taking incident management and response very seriously.

One of the most important things I learned from the workshop was understanding the attitude and mindset necessary to even begin to handle an incident.

A running analogy in the workshop was that your job (if not your business!) actually operates in two “modes”: peacetime and wartime.

Peacetime operations are what most of us in software development are used to: business as usual, relatively low pressure and stress, ample time to make difficult decisions, etc.

When it comes to incident response, that business-as-usual attitude needs to change immediately.  You will be working under pressure; you will have to make difficult decisions, choosing from non-optimal options.  There isn’t time for panic, and there isn’t time to procrastinate.  You’re at war now.

As the primary responder to an incident, you will carry a burden.  It’s not just your immediate team that has entrusted you with this responsibility of managing this incident — but also your entire organization, your customers, and your company’s stakeholders.  You will need to triage incidents quickly.  If you won’t be able to solve the problem on your own, you need to be able to immediately contact the right people to assist you.  You will need to follow your incident response plan.

You should have buy-in from the whole organization, from the top down, for your incident response plan.  If any incidents are routine, you should be able to handle them with minimal effort.  Your plan will not cover everything that will ever come up, but it should be flexible and robust enough to ensure that small problems don’t grow into catastrophes due to the way the incident was handled.

Incidents will occur, and not all of them will be handled smoothly.  Your team and organization need a culture of trust.  Responders must not be afraid of the consequences of full disclosure, and they must not be paralyzed in fear of consequences of making a poor decision during an incident response.  You need to be able to objectively reflect on your process in handling an incident so that you can handle future incidents even better.

Not everyone will share my point of view, but I’m excited to fill this role on the Cloud Foundry team.  I’ve been coding for something over a decade now, and while it’s always been fulfilling in its own way, the biggest adrenaline rush I’ve ever had on the clock was an unannounced fire drill.  That’s going to change now; it feels like moving beyond just a desk job.  Work is going to involve some excitement, fear, and panic, and I’m ready for it.

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David Varvel

Backbone vs Rails: Some things to consider

David Varvel
Monday, April 29, 2013

(Note: For most of this article, feel free to mentally substitute Ember, Angular, or your JS framework of choice for Backbone. Backbone’s just the popular one right now.)

At Pivotal Labs we do a lot of web-based projects.  Usually, it’s a pretty easy choice to use Rails for the back-end.  Not only is it a battle-tested framework, but we’ve developed a lot of expertise over the years.  However, many times there’s a question when we start building the front-end:

“Backbone or standard Rails?”

I’ll say right now that there’s no “right” answer here.  However, here’s a few things to consider that might help you make a decision.

1. Do you need SEO?

If your project needs any kind of SEO, or for content to be crawlable/scrapable, do NOT start with a single-page Javascript app.  While Google supposedly crawls using JS, it’s certainly not perfect.  Every other crawler or scraper out there will fail hard.  To overcome this, I’ve heard rumors of people rendering the JavaScript server-side, but that seems like an extraordinary effort for questionable gains.

2. Is your project really an API?

On the flip side, one nice thing about using a single page app for your front end is that it forces you to develop a robust API.  Even more importantly, it practically guarantees a clean separation between your front-end and back-end.  If you know you’ll eventually need to build a number of different native clients, or if offering a public API is part of the core product, then starting with a Backbone app makes a lot of sense.

3. Do you control the back end?

Sometimes, we don’t have the benefit of controlling the whole stack. Either there’s a legacy back-end, or you’re consuming somebody else’s API.  Sometimes you could build a Rails app that makes API calls on the backend, but usually it’s much cleaner to just go with Backbone and let the browser consume the APIs directly.

4.  How comfortable is your team with rolling your own technology?

Rails is fairly mature, and has huge amounts of community support.  For most problems that you’ll encounter, there’s an abundance of gems, sample code, blog posts, Stack Overflow answers, etc.  Much of the time, building a Rails app is mostly a matter of translating business needs into a pastiche of pre-established patterns and tools.

On the other side, Backbone provides a very thin layer of structure and a limited toolkit.  Every Backbone project ends up “rolling their own framework”, and building up their own patterns for view lifecycles, session management, authentication and authorization, and a hundred other things.  While this gives you a lot of fine grained-control, it means there’s a lot more decisions to make (and probably more code to write).  A team that’s not comfortable with that might want to think twice.

Some larger frameworks like Ember and Angular help with this somewhat.  However, there isn’t anything in the JS landscape that’s even close to the maturity and breadth of Rails.

While this isn’t a comprehensive list by any stretch, it’s a few of the top things that I’ve had to consider in the past.  There’s also an interesting list of non-factors, but that’s a topic for another blog post.

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Brandon Liu

Python web testing for the Ruby programmer

Brandon Liu
Monday, April 29, 2013

Ruby has a couple of well-known libraries for unit testing, mocking and stubbing HTTP interactions. My typical toolset includes RSpec, WebMock and VCR. I had the chance to work on a Python project recently and did some investigation into similar libraries for Python.

General testing libraries

The two most popular python test libraries + runners are py.test and nose. A neat feature of py.test is that is gets by with only the builtin ‘assert’ keyword: the test runner expands assertion failures to show exactly how the assertion failed e.g.:

===================== FAILURES =====================
_____________________ test_web _____________________

    def test_web():
      resp = c.get('/')
>     assert resp.status == '404'
E     assert '200 OK' == '404'
E       - 200 OK
E       + 404

lib/test_snack_overflow.py:9: AssertionError
============= 1 failed in 0.24 seconds =============

One gotcha is that py.test silences stdout by default, so you’ll need to pass the -s flag to see any debugging output.

Test doubles

The mock library can be installed through pip for Python 2 and comes as part of the standard library of Python 3. As an example of mocking out an environment variable using a context manager:

with mock.patch.dict('os.environ', {'APP_NAME': 'HelloWorld'}):
assert app.name = 'HelloWorld'

There’s also a decorator form, nice because it clearly states what modules are being mocked in your tests:

@mock.patch('crazyservice')
def test_nationals_stats(_crazyservice):
_crazyservice.date = "2013-04-06 12:31 AM"

Another gotcha for newcomers to Python testing: not all methods can be replaced at runtime. A good example is stubbing DateTime.now in ruby: the equivalent monkeypatching in python raises:

TypeError: can’t set attributes of built-in/extension type ‘datetime.datetime’

as these methods cannot be replaced in CPython. You’ll need to write a wrapper function and mock that out instead in your tests.

Web testing

The werkzeug WSGI library includes simple utilities to make request testing as easy as with rack-test. Another library I’m a big fan of is HTTPretty, which is similar to Ruby’s WebMock or FakeWeb. Finally, Ruby’s VCR gem is invaluable for recording real HTTP interactions. A port exists on python called vcr.py.

 

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Brian Butz

Less is more in Capybara 2.1

Brian Butz
Sunday, April 28, 2013

One of my favorite changes in Capybara 2.1 is ignoring all hidden elements by default. This could be viewed as a limiting of Capybara’s feature set, since you can no longer (easily) test certain elements on a page. I will argue that it steers you into writing tests that are more realistic, causing this limitation to actually enhance the quality of your acceptance tests.

Continue reading →

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Jared Carroll

Breakdown Your Work in RubyMine with Tasks

Jared Carroll
Sunday, April 28, 2013

In RubyMine, you can create tasks to breakdown and structure your work. A task can be a simple local task, or it can correspond to a feature, bug, or chore, in an issue-tracking system. Each task in RubyMine includes the current state of the editor, allowing you to switch between tasks and resume exactly where you left off. In this post, we’ll explore RubyMine’s tasks on OS X.

Creating Tasks

Press alt/option + shift + N to open the task dialog. Enter the task’s name, then press Enter to create the task.

create task

By default, RubyMine will clear your current context and create a new changelist.

Switching Tasks

A context is a set of opened files. Each task has an associated context. When you switch tasks, its context is automatically loaded.

To switch between tasks, use alt/option + shift + T.

switch task

Isolating Work with Changelists

A changelist is a set of related source code changes. Each task has an associated changelist.

task changelist

Changelists allow you to isolate each task’s changes. Use command + K to commit the current task’s changelist. RubyMine will now consider the task closed, and ask if you want to delete its changelist.

Pivotal Tracker Integration

Instead of manually creating tasks, you can configure RubyMine to load tasks from Pivotal Tracker.

In project settings, command + ,, create a new Pivotal Tracker server in the Tasks Servers section. Then add your Pivotal Tracker project id (located in the Pivotal Tracker project’s settings page) and API token.

pivotal tracker settings

Pivotal Tracker stories will now appear in the task dialog.

Pivotal Tracker tasks

Creating a new task from a Pivotal Tracker story allows you to update the story as in-progress. However, it won’t set you as the owner of the story. Also, closing the task won’t finish the story.

Clean Context Switching

RubyMine’s tasks are well-suited for serial development. But if you constantly switch contexts, like most developers, they fall short, because switching tasks brings along committed work. If each task consists of a single commit, then this isn’t a problem. However, I prefer to commit frequently; resulting in many small, granular commits. So, in my opinion, using a distributed version control system, e.g., Git, and a branch-per-feature workflow, is a better development strategy than RubyMine’s tasks. Branches keep your work isolated from the main line of development, and it’s still possible to cleanly switch contexts.

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Will Read

Get Personal, Get Feedback, Get Better

Will Read
Friday, April 26, 2013

One of our directors shared this article with the managers here at Pivotal Labs about having a personal retrospective. It immediately sparked a healthy debate, and I latched on to the idea because I think it fills a very real hole in getting feedback. We do great at gathering, weighting, and aggregating feedback from a pivot’s peers and delivering that in a constructive way. However, we don’t have a great way to get direct feedback on a level above the day-to-day pairing feedback. To see if it would be useful at our company, we needed to try it out so I volunteered. In addition to learning about myself the personal retro had several unexpected, positive effects. My experience was very personal and I’d be happy to talk about it in more details in person – what follows here are my findings on how to run one successfully in the hopes that others will find this tool useful as well.

I think there were at least four key elements to my personal retro that made it work well:

  • Be quiet and in the background. Have a facilitator, you can not host this yourself
  • Pick the right people and set expectations
  • Pick the right questions to ask
  • Be in a frame of mind where you really want this feedback (introspective, courage)

I initially thought, “I’m good at leading project retros, I should be able to lead a retro about myself.” I’m glad someone else suggested that I have a facilitator and that I listened. It was intense enough listening to feedback, I can’t imagine trying to stay impartial and lead discussion while soaking it all in. I asked one of our pivots who has not only led retros, but also facilitated inceptions – I knew he could handle the job and be professional about it. He took my questions and prepared his own notes ahead of time and asked me clarifying questions. Since I was doing my best to be quiet to prevent influencing opinions, he also made sure that before we moved on that I had the clarity I needed. I was on the opposite side of the room from the facilitator, so most times I wasn’t in the field of view of the speaker and they addressed me in the third person “…he does this very well”, or “Will always…”. This went a long way to making me feel more comfortable and hopefully made the reviewers more comfortable too.

Picking the right people was tough. I wanted to get feedback on all parts of my job. I’m a developer, a team lead (anchor), a manger, and probably another two less official hats. I wanted to know about how I’m doing as a pivot in all these areas. My review team consisted of:

  • My manager
  • A fellow manager
  • One of my reports
  • One of my team mates
  • and …

While I respect and value all four of these people’s opinions, I wanted to have someone in the room who saw me differently. Someone who I had a rough experience with. My experience has often been that you can learn a lot more when you disagree and so I wanted that person in the room too. She declined the retro so I invited a friend and rising pivot to be my fifth reviewer. I felt five was the right number because it was big enough for diversity, small enough to be productive, and odd numbered if any voting needed to take place.

In my invite I shared the above article. I shared my intended questions for discussion. I shared the invite list so that if someone didn’t feel comfortable reviewing me in front of the director of the office he or she could gracefully bow out. I made it clear that this was optional.

Not everyone was a match to give this kind of feedback in a group setting. As we do more personal retros I suspect we’ll get a better feel for who is well suited to giving feedback in a semi-public environment. The quantity of feedback I got seemed to be directly proportional to the seniority of the reviewer, but the less-senior pivots provided their own unique perspective and insights that I would keep if I was doing it over again; meaning that I appreciated the spread, but it would be folly to expect a greener employee to produce all the value, so set your expectations appropriately.

Picking the right questions for me was the most emotional part of this process. I wanted to be specific so as to provide direction to the group – “What do you like most/least about Will” was not going to cut it. I’ve gotten some feedback with my manager and I really wanted to focus in on what it would mean to make some of those areas better. Before I could do that, I had to share context and concrete examples with this group so they could paint me their own picture of how I am perceived through their eyes. If you want an exercise to get at these questions, you could probably stand at a whiteboard by yourself, create the three columns, and group them together and prioritize like you would in a normal retro. I wrote down my questions and sent out the invites at least two weeks ahead which gave me plenty of time to think about what kinds of answers I wanted from people, and what examples I had if they needed clarification. For me, I’m an introspective guy and these kinds of questions are always rolling around in my head, they’re what drive me to be better, but until now I only had myself to measure against. For most, it might be helpful to go through an annual review first to get some solid manager feedback and have a year of experience under your belt before embarking on a personal retro.

Once you’ve picked the right people, picked the right questions, the only thing to worry about is yourself. In order for this to be useful at all, you’ve got to want to know more about yourself, and you’ve got to be willing to listen to others even if you don’t agree with them. Humility goes hand and hand with the personal retro. I was called “brave” and “courageous”, which felt good, but I wasn’t there for praise, I was there to grow. It does take some steel-clad nerves to ask a peer to speak about you. It takes guts to show your boss where you and others think you can improve. And no one can call you chicken for shining this kind of light on some of the dusty parts of your personality, but I can assure you that I still had moments leading up to my retro where I wanted to smash the eject button and bail out. This. Is. Not. Easy. But the benefit far outweighs the cost for those who are willing to try.

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Luan Santos

Pairing like a Pivot

Luan Santos
Friday, April 26, 2013

Pairing is an amazing activity if you and your pair can do it right, it is one of the things we value most here at Pivotal Labs. It is also one of my favorite aspects of extreme programming since it’s the thing that makes me learn, teach and grow everyday as an engineer.

Being good at it helps you and your pair enjoy the workday, keep motivated and therefore, productive.

During the last months I have learned a lot about pair programming and I am trying to perfect this everyday. I have noticed a couple things that I think can help a person be a better pair.

 

Continue reading →

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Johnny Mukai-Heidt

Lessons from the Beach

Johnny Mukai-Heidt
Friday, April 26, 2013

Here are Pivotal we call our time between billable projects “the beach.” We spend most of this time working on projects which are internal or open source, sometimes both. One such project is Project Monitor and on my last go-round on the beach I got to work on it with my long-time colleague Mr. Saracco.

Project Monitor is a quick way for a team to see the status of their test suite. It’s basically a board of tiles, one for each test suite, colored either green or red depending on the current state of the build. It’s an interesting app to work on because it’s used in every Pivotal office and it’s part of our daily lives. It’s fun and it feels rewarding to work on something you see out of the corner of your eye every day. It’s also a little nerve-wracking. If you break something, every one of your co-workers knows!

IMG_20130304_105416

Project Monitor has historically been a bit of a tangle. Frequently, a Pivot or two has a week or less on the beach and they’re tasked with implementing some new feature or fixing a bug and then they’re off on another project. Digging through the codebase, you can see there’s some baggage. Maybe there’s a beloved tool from a previous project, a half-used framework, or a–ahem–clever use of code. Not always, but sometimes, these things trip up the next developer.

A fundamental truth about code is that it has more than one audience. We often think of the compiler or the interpreter as the end consumer of our code, and of course that’s true. But it’s easy to downplay how important it is to think about the next set of eyes on your codebase. Even if you have no collaborators and develop your software in a sound-proof bunk, you have in the very least your future self to communicate with.

My biggest lesson from this go-round on the beach is that it is exceptionally important for open source software to code in such a way that optimizes for quick developer ramp up. This means writing code where intent is clear. It means minimizing dependencies so as to shrink the number of necessary technologies for a developer to additionally ramp up on. It means nice, clean commits with clear logs. In short, it means having a boatload of empathy for the next person reading the code.

IMG_20130304_105411

On a private project with a small, tight team, there’s plenty of leeway. Someone with some history can just explain code that a new dev finds confusing. There is usually no such luxury on open source projects. Furthermore, the lifetime success of your project may be determined by willing members of the community standing up and pitching in. The next person to look at your code may not have any context at all. They will wake up, Memento style, and only see the code at hand. They do not have the history you do.

When you’re doing open source work, lease, please, please think of the next developer when you reach for that shiny new gem, that clever piece of meta-programming, that half-adopted convention.

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Ken Mayer

Sencha Touch BDD Part 2

Ken Mayer
Friday, April 26, 2013

Sencha Touch BDD

tl;dr

A multi-part series of articles on how to test Sencha Touch applications. It uses Jasmine for unit testing and Siesta for integration testing.

Part 2 – Unit Testing Models

In Part 1 I showed you how to set up your Sencha Touch development environment to use the Jasmine JavaScript test framework. We’re going to take a bit of a breather from all the hard work we did last week. In this blog, I’m going to show you how to test simple models.

Let’s have some fun, shall we?

Test-Driven-Development starts with a test, of course. Let’s write one that just asserts that our model class exists:

$ cat spec/javascripts/model/MyModelSpec.js
describe('SenchaBdd.model.MyModel', function() {
  it('exists', function() {
    var model = Ext.create('SenchaBdd.model.MyModel');
    expect(model.$className).toEqual('SenchaBdd.model.MyModel');
  });
});

When we run our tests in the browser, Jasmine reports this:

  Error: [Ext.Loader] Failed loading synchronously via XHR: 'app/model/MyModel.js'; 
  please verify that the file exists. XHR status code: 404

Which is just Ext’s very formal way of saying, “No such class exists” because we haven’t written it, yet.

Let’s write one that makes the test pass:

$ cat app/model/MyModel.js
Ext.define('SenchaBdd.model.MyModel', {
  extend: 'Ext.data.Model'
});

We have proven that we can create a new class, and that it’s name is what we expect.

Attributes

Let’s assert that our model has some attributes:

$ cat spec/javascripts/model/MyModelSpec.js
it('has data', function () {
  var model = Ext.create('SenchaBdd.model.MyModel', {
    name: 'Test',
    email: 'test@example.com',
    favoriteColor: 'blue'
  });
  expect(model.get('name')).toEqual('Test');
  expect(model.get('email')).toEqual('test@example.com');
  expect(model.get('favoriteColor')).toEqual('blue');
});

Which of course, fails, until we add some fields to our model:

$ cat app/model/MyModel.js
Ext.define('SenchaBdd.model.MyModel', {
  extend: 'Ext.data.Model',
  config: {
    fields: [
      { name: 'name', type: 'string' },
      { name: 'email', type: 'string' },
      { name: 'favoriteColor' }
    ]
  }
});

Default values

Let’s say that our model has some default values

$ cat spec/javascripts/model/MyModelSpec.js
it('has default values', function() {
  var model = Ext.create('SenchaBdd.model.MyModel')
  expect(model.get('favoriteColor')).toEqual('yellow');
})

Reload the Jasmine runner in the browser and …

  SenchaBdd.model.MyModel has default values.
  Expected undefined to equal 'yellow'.

Which is easily resolved by adding it to the class:

$ cat app/model/MyModel.js
{ name: 'favoriteColor', defaultValue: 'yellow' }

Validations

One last simple piece, let’s assert that email is a required field.

$ cat spec/javascripts/model/MyModelSpec.js
it('requires an email address', function() {
  var model = Ext.create('SenchaBdd.model.MyModel');
  var errors = model.validate();
  expect(errors.isValid()).toBeFalsy();

  expect(errors.getByField('email')[0].getMessage()).toEqual('must be present');
})

The first expectation asserts that the model is not valid at all. It’s a gatekeeper test. The second test asserts that there’s validation error on the email field (and not some other field).

$ cat app/model/MyModel.js
  config: {
    ...
    validations: [
      { field: 'email', type: 'presence' }
    ]

Roundup

This is a pretty simple set of tests. If you are at all familiar with unit testing, you won’t find much new here. Testing for validations by inspecting on the Errors collection was a little tricky to suss out. Hopefully I’ve saved you a few frustrating moments digging through the source code. What’s also interesting, I think, is how the test report reads:

  SenchaBdd.model.MyModel
    exists
    has data
    has default values
    requires an email address

The test itself communicates something to the reader about the intention of the model. That’s a key concept to understand about TDD; the most important and expensive reader of the application is not the browser, it’s the person who reads and maintains it. It might be your successor or your team mate, or perhaps, yourself, six months from now, when you’ve forgotten everything about this particular patch of code.

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