Over a million developers have joined DZone.

6 Steps to Know You've Hit a Home Run With Continuous Delivery

DZone's Guide to

6 Steps to Know You've Hit a Home Run With Continuous Delivery

Check these six points to make sure you're truly fulfilling the steps of continuous integration to streamline your DevOps processes.

· DevOps Zone ·
Free Resource

Is the concept of adopting a continuous everything model a daunting task for your fast moving business? Read this whitepaper to break down and understand one of the key pillars of this model in Continuous Governance: The Guardrails for Continuous Everything.

Are you actually doing continuous integration? And, if so, have you extended your organization's processes to the point where you've mastered the next step: continuous delivery?

In our last blog, we focused on the first question. Based on reports and anecdotal evidence, a decent number of today's organizations are trying hard but still falling short of following all the accepted tenets of continuous integration.

In this article, we'll look at continuous delivery (CD). The good news is, organizations are making progress. The bad news: As with continuous integration (CI), many believe they're doing a lot better with CD than they really are.

So, specifically, what are CI and CD? Continuous integration is an automated process practiced by the development team - developers frequently commit source code changes to a central repository, and the changes are continuously built and validated. This enables errors to be found and fixed as early as possible. A continuous integration mantra is "fail fast." This practice speeds up the development process and helps ensure high-quality code.

Continuous delivery extends CI principles and practices further to the right (downstream) in the software delivery process - continuously testing and deploying code to ensure that, with each change, software is in a release-ready state. Continuous delivery enables changes to be moved into pre-production or production environments, and eventually into the hands of users, in a rapid, repeatable and reliable way. Like CI, this enables teams to "fail fast" based on real-world feedback and, thus, improve the value they deliver to customers.

Strongly opinionated definitions of CD state that to truly practice continuous delivery teams should be able to positively answer the following three questions with a "yes":

  • Is your software in a release ready state after every change?
    i.e., you can confidently deploy the software to production at any time.
  • Do all stakeholders have visibility in the releasability of the software?
    i.e., the process is automated, repeatable and traceable
  • Can a push-button deployment be performed at any time?
    i.e., the software deployment and configuration is automated and repeatable.

Based on the recent attention the industry has focused on continuous delivery, one would think the vast majority of organizations would have fully and accurately implemented the common best practices. The 2010 book by Jez Humble and Dave Farley, Continuous Delivery, popularized the term, and A-list tech companies like Netflix and Flickr have educated the world on how to achieve dozens of deployments per hour.

The numbers tell a different story. According to the DZone 2016 Guide to Continuous Delivery, half of all professionals surveyed thought they were following continuous delivery practices but only 10 percent actually were, based on the three criteria. (That number actually improved from 8 percent in 2014.)

First and simply put, if an organization ensures that software is always in a release-ready state, it is almost surely doing continuous delivery.

The second criteria from above - all stakeholders have visibility into the releasability of the software - while not absolutely required, is important. If an organization is continuously building, testing, measuring and delivering software successfully, it may not be as important. However, such visibility is often integral to establishing the trust between Dev and Ops which enables the automation of the process. Shared visibility also supports vital feedback back loops.

The third definition - a push-button deployment be performed at any time is based on the CD principle that deployment should be a non-event. Your software is always in a release-ready state, implying that you've tested in a production environment and tested in a deployment process.

Continuous delivery, is defined simply with criteria above, and described in detail in many writings, however, what are simple fundamental steps you can take to implement it correctly?

Here I provide you a list of six steps that will help you truly assess whether you are performing continuous delivery:

  1. Rightsize your changes: One of the first tasks is to express your changes or user stories so they can be delivered rapidly through your continuous delivery pipeline, supporting test automation, and minimizing risk. This allows you to isolate they can be easily integrated, tested, and deployed with less risk, plus it forces you to think in terms of incremental value delivered to your customers. Do this by shifting from a waterfall development process to of lean or agile methods like Kanban or Scrum.
  2. Use a tracking system: With continuous delivery, the ability to track the movements of changes through the system is critical. Using a tracker like Bugzilla or Jira gives stakeholders the ability to collaborate across the delivery process and measure important key performance indicators (KPIs) such as the cycle time of a change.
  3. Implement a version control system: Similar to using a tracker to enter and track changes through your pipeline, those changes specified in your tracker system ultimately represent code changes made by the development team. Version control enables teams to understand at any given time what in our code base has changed, and it enables them to rapidly roll back. Modern version control systems such as Git offer collaborative features such as pull requests, which increase quality by enforcing a peer-auditing.
  4. Automatically deploy your builds: To move the build downstream, it's important to be able to automate the deployment of the build to an environment like the one where it will run. A key aspect to this is not just the function of deploying, but also providing access to the infrastructure and environment you're going to deploy to. In legacy processes, this used to be static. Because of the pace at which we are delivering changes in a continuous delivery pipeline, we now need immediate and constant access to environments.
  5. Deploy into a production-like environment: You must provide access to these production-like environments as early as possible in the pipeline, ideally all the way back to development. This is important because our goal with continuous delivery is to shift right and find problems fast. If we are deploying our software to environments different from that of production, there will always be unknowns when it comes time to deploy. Therefore, we can't claim that our software is always in a release-ready state. One way of achieving this is using infrastructure as code or configuration management solutions to define your production environment and then using those same configurations to define your pre-production environments for development, test, and stage.
  6. Build once and promote the binaries: Many organizations I work with which claim to practice CD, promote source code between teams and environments, rebuilding the software at each stage. This is a major CD anti-pattern. Every time you rebuild source code the chance for errors to be introduced and/or missed increases considerably. Potential differences in build scripts, environments etc, render upstream tests and validation as untrustworthy. The proper approach is to build once, and promote your binaries. This ensures that each downstream step builds on the confidence in the release created by earlier steps.


Continuous integration is a precursor to continuous delivery. Those who aren't doing CI and CD correctly aren't going to gain the business value that these processes bring: faster time to market, increased competitive advantage, improved software quality, and higher employee satisfaction.

Are you looking for greater insight into your software development value stream? Check out this whitepaper: DevOps Performance: The Importance of Measuring Throughput and Stability to see how CloudBees DevOptics can give you the visibility to improve your continuous delivery process.

devops ,continuous integration ,software development

Published at DZone with permission of

Opinions expressed by DZone contributors are their own.

{{ parent.title || parent.header.title}}

{{ parent.tldr }}

{{ parent.urlSource.name }}