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Refcard #145

Continuous Delivery

Patterns and Anti-Patterns in the Software Lifecycle

by Paul Duvall

Minimize the time it takes to go from idea to usable software. Learn to use agile techniques and automae the entire software delivery system: build, deploy, test, release.

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Continuous Delivery
Section 1

About Continuous Delivery

With Continuous Delivery (CD), teams continuously deliver new versions of software to production by decreasing the cycle time between an idea and usable software through the automation of the entire delivery system: build, deployment, test, and release. CD is enabled through the Deployment Pipeline, which encompasses a collection of patterns described in this Refcard.

CD is concerned with “…how all the moving parts fit together: configuration management, automated testing, continuous integration and deployment, data management, environment management, and release management.” (1)

Section 2

The Deployment Pipeline

Figure 1

The purpose of the deployment pipeline is threefold:

  • Visibility: All aspects of the delivery system - building, deploying, testing, and releasing – are visible to all team members promoting collaboration.
  • Feedback: Team members learn of problems as soon as they occur so that issues are fixed as soon as possible.
  • Continually Deploy: Through a fully automated process, you can deploy and release any version of the software to any environment. (1)

In the Deployment Pipeline diagram above, all of the patterns are shown in context. There are some patterns that span multiple stages of the pipeline, so I chose the stage where it’s most predominately used.

Section 3


  • Empowering Teams: Because the deployment pipeline is a pull system, testers, developers, operations, and others can self service the application version into an environment of their choice.
  • Reducing Errors: Ensuring the correct version, configuration, database schema, etc. are applied the same way every time through automation.
  • Lowering Stress: Through push-button releases to production and Rehearsing Deployments, a release becomes commonplace without the typical stress.
  • Deployment Flexibility: Instantiate a new environment or configuration by making a few changes to the automated delivery system.
  • Practice makes Perfect: Through the deployment pipeline, the final deployment into production is being rehearsed every single time the software is deployed to any target environments. (1)
Section 4

Configuration Management

Configuration Management is “the process by which all artifacts relevant to your project, and the relationships between them, are stored, retrieved, uniquely identified, and modified”. (1)

Note: Each pattern is cited with a number in parentheses that corresponds to the source in the References section.

Configurable Third-Party Software (1)

Pattern Evaluate and use third-party software that can be easily configured, deployed, and automated.
Anti-patterns Procuring software that cannot be externally configured. Software without an API or command line interface that forces teams to use the GUI only.

Configuration Catalog (1)

Pattern Maintain a catalog of all options for each application, how to change these options and storage locations for each application. Automatically create this catalog as part of the build process.
Anti-patterns Configuration options are not documented. The catalog of applications and other assets is “tribal knowledge”.

Mainline (3)

Pattern Minimize merging and keep the number of active code lines manageable by developing on a mainline.
Anti-patterns Multiple branches per project.

Merge Daily (1)

Pattern Changes committed to the mainline are applied to each branch on at least a daily basis.
Anti-patterns Merging every iteration once a week or less often than once a day.

Protected Configuration (5), (1)

Pattern Store configuration information in secure remotely accessible locations such as a database, directory, or registry.
Anti-patterns Open text passwords and/or single machine or share.

Repository (3), (1)

Pattern All source files - executable code, configuration, host environment, and data - are committed to a version control repository.
Anti-patterns Some files are checked in, others, such as environment configuration or data changes, are not. Binaries – that can be recreated through the build and deployment process – are checked in.

Short-Lived Branches (1)

Pattern Branches must be short lived – ideally less than a few days and never more than an iteration.
Anti-patterns Branches that last more than an iteration. Branches by product feature that live past a release.

Single Command Environment (1)

Pattern Check out the project’s version-control repository and run a single command to build and deploy the application to any accessible environment, including the local development.
Anti-patterns Forcing the developer to define and configure environment variables. Making the developer install numerous tools in order for the build/deployment to work.

Single Path to Production (1)

Pattern Configuration management of the entire system - source, configuration, environment and data. Any change can be tied back to a single revision in the version-control system.
Anti-patterns Parts of system are not versioned. Inability to get back to a previously configured software system.
Section 5

Continuous Integration (CI)

Build Threshold (5)

Pattern Fail a build when a project rule is violated – such as architectural breaches, slow tests, and coding standard violations.
Anti-patterns Manual code reviews. Learning of code quality issues later in the development cycle.

Commit Often (6)

Pattern Each team member checks in regularly to trunk - at least once a day but preferably after each task to trigger the CI system.
Anti-patterns Source files are committed less frequently than daily due to the number of changes from the developer.

Continuous Feedback (6)

Pattern Send automated feedback from CI system to all Cross-Functional Team members.
Anti-patterns Notifications are not sent; notifications are ignored; CI system spams everyone with information they cannot use.

Continuous Integration (6)

Pattern Building and testing software with every change committed to a project’s version control repository.
Anti-patterns Scheduled builds, nightly builds, building periodically, building exclusively on developer’s machines, not building at all.

Stop the Line (5), (1), (4), (12)

Pattern Fix software delivery errors as soon as they occur; stop the line. No one checks in on a broken build as the fix becomes the highest priority.
Anti-patterns Builds stay broken for long periods of time, thus preventing developers from checking out functioning code.

Independent Build (6)

Pattern Write build scripts that are decoupled from IDEs. These build scripts are executed by a CI system so that software is built at every change.
Anti-patterns Automated build relies on IDE settings. Builds are unable to be run from the command line.

Visible Dashboards

Pattern Provide large visible displays that aggregate information from your delivery system to provide high quality feedback to the Cross-Functional Team in real time.
Anti-patterns Email-only alerts or not publicizing the feedback to the entire team.
Section 6


Automate Tests

Pattern Automate the verification and validation of software to include unit, component, capacity, functional, and deployment tests
Anti-patterns Manual testing of units, components, deployment, and other types of tests.

Unit- Automating tests without any dependencies.

Component- Automating tests with dependencies to other components and heavyweight dependencies such as the database or file system.

Deployment- Automating tests to verify the deployment and configuration were successful. Sometimes referred to as a “smoke tests”.

Functional- Automating tests to verify the behavior of the software from a user’s perspective.

Capacity- Automating load and performance testing innear productionn conditions.

Isolate Test Data (1)

Pattern Use transactions for database-dependent tests (e.g.,component tests) and roll back the transaction when done. Use a small subset of data to effectively test behavior.
Anti-patterns Using a copy of production data for Commit Stage tests. Running tests against a shared database.

Parallel Tests (1)

Pattern Run multiple tests in parallel across hardware instances to decrease the time in running tests.
Anti-patterns Anti-patterns Running tests on one machine or instance. Running dependent tests that cannot be run in parallel.

Stub Systems (1)

Pattern Use stubs to simulate external systems to reduce deployment complexity.
Anti-patterns Manually installing and configuring interdependent systems for Commit Stage build and deployment.
Section 7

Deployment Pipeline

Pattern A deployment pipeline is an automated implementation of your application’s build, deploy, test, and release process.
Anti-patterns Deployments require human intervention (other than approval or clicking a button). Deployments are not production ready.

Value-Stream Map (4)

Pattern Create a map illustrating the process from check in to the version-control system to the software release to identify process bottlenecks.
Anti-patterns Separately defined processes and views of the checkin to release process.
Section 8

Build and Deployment Scripting

Dependency Management (5)

Pattern Centralize all dependent libraries to reduce bloat, class pathh problems, and repetition of the same dependent libraries and transitive dependencies from project to project.
Anti-patterns Multiple copies of the same binary dependencies in each and every project. Redefining the same information for each project. Classpath hell!

Common Language (1)

Pattern As a team, agree upon a common scripting language - such as Perl, Ruby, or Python - so that any team member can apply changes to the Single Delivery System.
Anti-patterns Each team uses a different language making it difficult for anyone to modify the delivery system reducing cross-functional team effectiveness.

Externalize Configuration (5)

Pattern Changes between environments are captured as configuration information. All variable values are externalized from the application configuration into build/deployment-time properties.
Anti-patterns Hardcoding values inside the source code or per target environment.

Fail Fast (6)

Pattern Fail the build as soon as possible. Design scripts so that processes that commonly fail run first. These processes should be run as part of the Commit Stage.
Anti-patterns Common build mistakes are not uncovered until late in the deployment process.

Fast Builds (6)

Pattern The Commit Build provides feedback on common build problems as quickly as possible - usually in under 10 minutes.
Anti-patterns Throwing everything into the commit stage process, such as running every type of automated static analysis tool or running load tests such that feedback is delayed.

Scripted Deployment (5)

Pattern All deployment processes are written in a script, checked in to the version-control system, and run as part of the Single Delivery System.
Anti-patterns Deployment documentation is used instead of automation. Manual deployments or partially manual deployments. Using GUI to perform a deployment.

Unified Deployment (5)

Pattern The same deployment script is used for each deployment. The Protected Configuration – per environment - is variable but managed.
Anti-patterns Different deployment script for each target environment or even for a specific machine. Manual configuration after deployment for each target environment.
Section 9

Deploying and Releasing Applications

Binary Integrity (5)

Pattern Build your binaries once, while deploying the binaries to multiple target environments, as necessary.
Anti-patterns Software is built in every stage of the deployment pipeline.

Canary Release

Pattern Release software to production for a small subset of users (e.g. , 10%) to get feedback prior to a complete rollout.
Anti-patterns Software is released to all users at once.

Blue-Green Deployments (1)

Pattern Deploy software to a non-production environment (call it blue) while production continues to run. Once it’s deployed and “warmed up”, switch production (green) to non-production and blue to green simultaneously.
Anti-patterns Production is taken down while the new release is applied to production instance(s).

Figure 2

Dark Launching (11)

Pattern Launch a new application or features when it affects the least amount of users.
Anti-patterns Software is deployed regardless of number of active users.

Rollback Release (5)

Pattern Provide an automated single command rollback of changes after an unsuccessful deployment.
Anti-patterns Manually undoing changes applied in a recent deployment. Shutting down production instances while changes are undone.

Self-Service Deployment (1)

Pattern Any Cross-Functional Team member selects the version and environment to deploy the latest working software.
Anti-patterns Deployments released to team are at specified intervals by the “Build Team”. Testing can only be performed in a shared state without isolation from others.
Section 10

Infrastructure and Environments

Automate Provisioning (1)

Pattern Automate the process of configuring your environment to include networks, external services, and infrastructure.
Anti-patterns Anti-patterns Configured instances are “works of art” requiring team members to perform partially or fully manual steps to provision them.

Behavior-Driven Monitoring (1)

Pattern Automate tests to verify the behavior of the infrastructure. Continually run these tests to provide near real-time alerting.
Anti-patterns No real-time alerting or monitoring. System configuration is written without tests.

Immune System (9)

Pattern Deploy software one instance at a time while conducting Behavior-Driven Monitoring. If an error is detected during the incremental deployment, a Rollback Release is initiated to revert changes.
Anti-patterns Non-incremental deployments without monitoring.

Lockdown Environments (1)

Pattern Lock down shared environments from unauthorized external and internal usage, including operations staff. All changes are versioned and applied through automation.
Anti-patterns The “Wild West”: any authorized user can access shared environments and apply manual configuration c hanges, putting the environment in an unknown state leading to deployment errors.

Production-Like Environments (1)

Pattern Target environments are as similar to production as possible.
Anti-patterns Environments are “production like” only weeks or days before a release. Environments are manually configured and controlled.

Transient Environments

Pattern Utilizing the Automate Provisioning, Scripted Deployment and Scripted Database patterns, any environment should be capable of terminating and launching at will.
Anti-patterns Environments are fixed to “DEV, QA” or other predetermined environments.
Section 11


Database Sandbox (7)

Pattern Create a lightweight version of your database – using the Isolate Test Data pattern. Each developer uses this lightweight DML to populate his local database sandboxes to expedite test execution.
Anti-patterns Shared database. Developers and testers are unable to make data changes without it potentially adversely affecting other team members immediately.

Decouple Database (1)

Pattern Ensure your application is backward and forward compatible with your database so you can deploy each independently
Anti-patterns Application code data are not capable of being deployed separately.

Database Upgrade (7)

Pattern Use scripts to apply incremental changes in each target environment to a database schema and data.
Anti-patterns Manually applying database and data changes in each target environment.

Scripted Database (7)

Pattern Script all database actions as part of the build process.
Anti-patterns Using data export/import to apply data changes. Manually applying schema and data changes to the database.
Section 12

Incremental Development

Branch by Abstraction (2)

Pattern Instead of using version-control branches, create an abstraction layer that handles both an old and new implementation. Remove the old implementation.
Anti-patterns Branching using the version-control system leading to branch proliferation and difficult merging. Feature branching.

Toggle Features (10)

Pattern Deploy new features or services to production but limit access dynamically for testing purposes.
Anti-patterns Waiting until a feature is fully complete before committing the source code.
Section 13


Delivery Retrospective (1)

Pattern For each iteration, hold a retrospective meeting where everybody on the Cross-Functional Team discusses how to improve the delivery process for the next iteration.
Anti-patterns Waiting until an error occurs during a deployment for Dev and Ops to collaborate. Having Dev and Ops work separately.

Cross-Functional Teams (1)

Pattern Everybody is responsible for the delivery process. Any person on the Cross-Functional Team can modify any part of the delivery system.
Anti-patterns Siloed teams: Development, Testing, and Operations have their own scripts and processes and are not part of the same team.

Amazon.com has an interesting take on this approach. They call it “You build it, you run it”. Developers take the software they’ve written all the way to production.

Root-Cause Analysis (1)

Pattern Learn the root cause of a delivery problem by asking “why” of each answer and symptom until discovering the root cause.
Anti-patterns Accepting the symptom as the root cause of the problem.
Section 14


This is meant to be an illustrative list, not an exhaustive list, to give you an idea of the types of tools and some of the vendors that help to enable effective Continuous Delivery. The Java, .NET and Ruby platforms are represented. The tools that span categories have been assigned to the most appropriate category or duplicated when necessary.

Category Example Software Tools
Configuration Management Subversion (SVN), git, Perforce, PassPack, PasswordSafe, ESCAPE, ConfigGen
Continuous Integration Bamboo, Jenkins, AntHill Pro, Go, TeamCity, TFS 2010, Electric Commander. Supporting tools: , Doxygen, Grand, GraphViz, JavaDoc, NDoc, SchemaSpy, UmlGraph, CheckStyle, Clover, Cobertura, FindBugs, FxCop, JavaNCSS, JDepend, PMD, Sonar, Simian
Testing Twist , AntUnit, Cucumber, DbUnit, webrat, easyb, Fitnesse, JMeter, JUnit, NBehave, SoapUI, Selenium, RSpec, SauceLabs
Deployment Pipeline Go, AntHill Pro
Build and Deployment Scripting Ant, AntContrib, NAnt, MSBuild, Buildr, Gant, Gradle, make, Maven, Rake, Java Secure Channel, ControlTier, Altiris, Capistrano, Fabric, Func
Infrastructure and Environments AWS EC2, AWS S3, Windows Azure, Google App Engine, AWS Elastic Beanstalk, Heroku, Capistrano, Cobbler, BMC Bladelogic, CFEngine, IBM Tivoli Provisioning Manager, Puppet, Chef, Bcfg2, AWS Cloud Formation, Windows Azure AppFabric, rPath, JEOS, BoxGrinder, CLIP, Eucalyptus, AppLogic, CloudKick, CloudWatch, Nagios, Zabbix, Zenoss
Data Hibernate, MySQL, Liquibase, Oracle, PostgreSQL, SQL Server, SimpleDB, SQL Azure, Ant, MongoDB, dbdeploy
Components and Dependencies Ivy, Archiva, Nexus, Artifactory, Bundler
Collaboration Mingle, Greenhopper, JIRA
Section 15


  1. Jez Humble and David Farley, “Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation”, Addison Wesley Professional, 2010
  2. Paul Hammant and www.continuousdelivery.com
  3. Stephen P. Berczuk and Brad Appleton, “Software Configuration Management Patterns.”, Addison Wesley Professional, 2003
  4. Mary and Tom Poppendieck, “Leading Lean Software Development”, Addison Wesley, 2009
  5. Paul M. Duvall, “Continuous integration. Patterns and Antipatterns”, DZone refcard #84, 2010 http://bit.ly/l8rfVS
  6. Paul M. Duvall, “Continuous integration. Improving Software Quality and Reducing Risk”, Addison Wesley, 2007
  7. Scott W. Ambler and Pramodkumar J. Saladage, “Refactoring Databases. Evolutionary Database Design”, Addison Wesley, 2006.
  8. Paul M. Duvall, IBM developerWorks series “Automation for the people” http://ibm.co/iwwvPX
  9. IMVU: http://bit.ly/jhqP5f
  10. Martin Fowler and Facebook: http://on.fb.me/miBrOM
  11. Facebook Engineering: http://on.fb.me/miBrOM
  12. Paul Julius, Enterprise Continuous Integration Maturity Model, http://bit.ly/m7h5vC


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