Rapid Development at Fortigent

2 Jul

by Andriy Volkov

The key to Rapid Development at Fortigent is our streamlined Software Factory. By “software factory” I mean the whole set of mechanisms, tools and processes involved in taking ideas from inception to production. A streamlined software factory is one that creates no obstacles, first and foremost for developers.

The point is to make the software easy to improve. If this most fundamental of all qualities is present, all other -ilities, like usability, scalability, performance, resource utilization, functional richness — will catch up. Optimizing our Software Factory for iterative, incremental improvements allowed Fortigent to reduce the cost of mistakes and minimize the risk associated with innovation.

Out of the endless variety of Best Practice memes floating on the Web, here are some of the main points we came to appreciate:

Continuous Integration

At the heart of Fortigent’s Software Factory is our continuous integration (CI) loop. Its purpose is to create the shortest possible feedback cycle for development to feed on. The traditional selling point of CI is its ability to catch conflicting changes early, but the real benefits of CI are far more fundamental than that.

At Fortigent, CI is not just a common development environment, it is a set of automated processes designed to break easily. Continuously rebuilding the entire software stack (including the database!) from source code creates constant pressure to keep our software in the known, functional state. This results in software that is always ready for release, allowing our team to react quickly to any new requirement or change in priorities. This is the very definition of Agile.

Build Automation

Our TeamCity build automation server hosts more than 80 build configurations. About a third of those run on every code change. There are builds doing .NET compilation and unit testing, linting JavaScript, running QUnit and Watin tests, creating MSI installers or NuGet packages, and deploying applications to staging environments.

Ad-Hoc Environment Allocation

We have 5 identical environments closely mimicking our production setup, named ENV1 to 5. Why are they made identical?  So we can install the same exact binary package to any of them! This saves a huge amount of energy otherwise required to manage all those installations and config files.

Different versions of the same application may be automatically deployed to multiple ENVs. For example, an actively developed application may have its trunk build pushed to ENV3 while its more stable production maintenance branch will be deployed to ENV4 and 5, to facilitate integration testing of other projects.

Database Change Management

Since our databases are always in flux, we had to devise a process to keep all those changes in control, while not restricting the developers’ freedom to write arbitrary SQL scripts to solve their data and schema migration problems. With this in mind, you can appreciate our database change management process, which revolves around an idea I call “delta script queues”.

A delta script queue is really just a directory in our Subversion repository, but here’s what makes it a queue: Every time a new database change is required, it’s coded up in SQL and the script is added at the end of the queue. Before the change will appear in production, it will be deployed to several development databases, and because they get reset on a weekly basis, all SQL scripts will run again and again, always in the same sequence. To avoid surprises, an existing script already in the queue is considered immutable, but its effects can always be offset by adding a subsequent script. When the changeset is finally ready to go, the queue is flushed by executing it on production, and a new queue is started for the next changeset.

One of our most important CI processes is “BoatSync/DbBuildBase”. The BoatSync process scripts the production database schema daily and checks any changes into the source control. DbBuildBase rebuilds all 5 of our production databases from these scripts, and further applies any dev-in-progress scripts from the delta script folders. The resulting database files are then published to a network share. Those test builds that rely on database, start by downloading the database and reattaching it to a local SQL Server instance. This allows every test to run against a fresh copy of the database, with all production and development changes synced up!

Test Driven Development

Nested within the CI loop is the Red-Green-Refactor cycle of TDD running on each individual developer’s workstation. We strive to keep both loops as short as possible, and for each individual iteration to contain as few changes as possible. Minimizing the amount of “balls in the air” (i.e., broken code) at any given time helps our developers stay in control, while avoiding the “stack overflows” with their panic, and the resulting cowboy coding episodes.

Our software project mechanics are designed to encourage the “test-first” coding style. Whenever possible, the unit tests run against a local database, reconstructed from production schema, with recent changes applied. Every application being developed is configured to run locally, without having to push a build to a common “development environment”.

Challenges and Next Steps

It took us years to come from where we were to where we are, but we are far from where we’re heading to.

Here are some of the challenges we’re thinking about now:

  • Our legacy projects still rely on project references for dependency management. We need to finish the process of NuGet-ization, switch everything to binary references and stop committing binaries to source control,
  • Our Subversion repository is huge. Perhaps we should migrate to a “repository-per-project” model? Should we adopt Git or Mercurial for new projects?
  • Our RDBMS-centric architecture is reaching its limits. We are thinking along CQRS lines, with primed caches backing up the reads, and message-driven worker services handling the cache misses and the writes. This should make our logic less query-heavy, which would eliminate the need for ORM and reduce the number of unit-tests requiring a live database connection.
  • Our backlog-management and work-initiation processes are still pretty immature, despite our partial success with Kanban.
  • We need a lot more automated regression and integration testing done at the UI level.
  • In general, need to increase our test coverage, and tighten up our TDD. While a few of us have experimented with behavior-driven development, that whole area lies largely unexplored.

The key to our success so far is a philosophy of continuous improvement. Our development process wasn’t handed down from a mountain top on stone tablets. Instead, it evolved over time as we saw opportunities for improvement. Our team is a true team of peers. Architecture and process aren’t defined by a single team lead. Any team member can contribute to improving the process or suggest an architectural change. Proposed changes often lead to water cooler discussions about the best approach but a new process or technology that is accepted by the team will be adopted immediately and will often be in our production code within days.

One thing that unites our development team is a love for the craft of software development. Although at times we’ll have intense debates about the path forward, we have a shared goal of developing quality code that we can maintain for years to come.

Extreme flexibility to adopt new technology and processes allows us to ride a wave of continuous improvement. While that can be challenging at times, and we’re all learning new things every day, it’s allowed us to create value by using the best that modern software engineering has to offer.


Photograph of Andriy VolkovAndriy Volkov is a Senior Developer at Fortigent and has been around since CGA snow. He’s got a degree in computers. He is a Continuous Improvement dude. Besides beating the CI drum, he likes sencha, LPs, backpacking, and meditation. You can follow him on twitter @zvolkov.

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