What's the difference between these three terms? My university provides the following definitions:
Continuous Integration basically just means that the developer's working copies are synchronized with a shared mainline several times a day.
Continuous Delivery is described as the logical evolution of continuous integration: Always be able to put a product into production!
Continuous Deployment is described as the logical next step after continuous delivery: Automatically deploy the product into production whenever it passes QA!
They also provide a warning: Sometimes the term "Continuous Deployment" is also used if you are able to continuously deploy to the test system.
All this leaves me confused. Any explaination that is a little more detailed (or comes with an example) is appreciated!
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continuous-integration
continuous-deployment
continuous-delivery
The answer is
lets keep it short :
CI: A software development practice where members of a team integrate their work at least daily. Each integration is verified by automated build (include tests)to detect error as quick as possible. CD: CD Builds on CI, where you build software in such a way that the software can be released to production at any time.
Neither the question nor the answers really fit my simple way of thinking about it. I'm a consultant and have synchronized these definitions with a number of Dev teams and DevOps people, but am curious about how it matches with the industry at large:
Basically I think of the agile practice of continuous delivery like a continuum:
Not continuous (everything manual) 0% ----> 100% Continuous Delivery of Value (everything automated)
Steps towards continuous delivery:
Zero. Nothing is automated when devs check in code... You're lucky if they have compiled, run, or performed any testing prior to check-in.
Continuous Build: automated build on every check-in, which is the first step, but does nothing to prove functional integration of new code.
Continuous Integration (CI): automated build and execution of at least unit tests to prove integration of new code with existing code, but preferably integration tests (end-to-end).
Continuous Deployment (CD): automated deployment when code passes CI at least into a test environment, preferably into higher environments when quality is proven either via CI or by marking a lower environment as PASSED after manual testing. I.E., testing may be manual in some cases, but promoting to next environment is automatic.
Continuous Delivery: automated publication and release of the system into production. This is CD into production plus any other configuration changes like setup for A/B testing, notification to users of new features, notifying support of new version and change notes, etc.
EDIT: I would like to point out that there's a difference between the concept of "continuous delivery" as referenced in the first principle of the Agile Manifesto (http://agilemanifesto.org/principles.html) and the practice of Continuous Delivery, as seems to be referenced by the context of the question. The principle of continuous delivery is that of striving to reduce the Inventory waste as described in Lean thinking (http://www.miconleansixsigma.com/8-wastes.html). The practice of Continuous Delivery (CD) by agile teams has emerged in the many years since the Agile Manifesto was written in 2001. This agile practice directly addresses the principle, although they are different things and apparently easily confused.
DevOps is a combination of 3C's - continuous, communication, collaboration and this lead to prime focus in various industries.
In an IoT connected devices world, multiple scrum features like product owner, web, mobile and QA working in an agile manner in a scrum of scrum cycle to deliver a product to end customer.
Continuous integration: Multiple scrum feature working simultanrouly in multiple endpoints
Continuous delivery: With integration and deployment, delivery of product to multiple customers to be handled at the same time.
Continuous deployment: multiple products deployed to multiple customers at multiple platform.
Watch this to know how DevOps enabling IoT connected world: https://youtu.be/nAfZt2t4HqA
Continuous Integration
- Automated(building of check ins + unit test)
Continuous Delivery
- Continuous Integration
- Automated(deployment to test environment + load testing + integration test)
- Manual(deployment to production)
Continuous Deployment
- Continuous Delivery but automated(deployment to production)
CI/CD is a journey. Not a destination.
These stages are suggestions. You can adapt the stages based on your business need. Some stages can be repeated for multiple types of testing, security, and performance. Depending on the complexity of your project and the structure of your teams, some stages can be repeated several times at different levels. For example, the end product of one team can become a dependency in the project of the next team. This means that the first team’s end product is subsequently staged as an artifact in the next team’s project.
Footnote :
Practicing Continuous Integration and Continuous Delivery on AWS
Atlassian posted a good explanation about Continuous integration vs. continuous delivery vs. continuous deployment.
In a nutshell:
Continuous Integration - is an automation to build and test application whenever new commits are pushed into the branch.
Continuous Delivery - is Continuous Integration + Deploy application to production by "clicking on a button" (Release to customers is often, but on demand).
Continuous Deployment - is Continuous Delivery but without human intervention (Release to customers is on-going).
Continuous Integration basically just means that the developer's working copies are synchronized with a shared mainline several times a day.
Or more than several times per day. As often as any given discrete task is completed, basically. Consider for example a team of developers working on a single business application. In many environments, the following may happen:
- One or two developers keep local changes for a few days because "it's not ready yet".
- One or two developers create branches in the source control so they can work on their feature(s) "without being bothered by other people's changes".
These can lead to problems. Poor code/task organization leads to branching, branching leads to merging, merging... leads to suffering. Continuous integration as a practice addresses this by encouraging everybody to work from the same shared source. Individual work items should be discrete enough to be completed in a short amount of time (hours at most).
Basically the general idea is that integrating a small change in a small amount of work. Integrating a large change is a disproportionately large amount of work. The aggregate of integration work is smaller if done in constant small steps. This allows developers to spend more time working on business-visible features instead of development process overhead.
Continuous Delivery is described as the logical evolution of continuous integration: Always be able to put a product into production!
This follows the same idea of discrete, well defined work items. If there's a single master codebase which is only ever adjusted in small increments by complete, tested, known working features then that codebase is always stable. Automated testing is key here to be able to prove that stability at the push of a button.
The less stabilization work that needs to be done (which, again, is development process overhead and should be eliminated), the more often that codebase can be pushed to any given environment. In a lot of companies a deployment can be a pretty grueling process. Even a week-long all-hands-on-deck operation. This is expensive and produces no business value. By employing good work item definitions, effective automated testing, and continuous integration a team can be in a position to automate the codebase's delivery to any given environment.
Continuous Deployment is described as the logical next step after continuous delivery: Automatically deploy the product into production whenever it passes QA!
You'll rarely see this happen in a business environment, and it's quite a joy when it's encountered. If the codebase can be automatically tested and automatically deployed to any given environment then, well, production is an environment like any other. So if the team has built up to this point then there's a potential for significant value to the business by always being able to deploy updates to production.
Defect fixes are sent to customers faster, new features reach the market faster, new ideas are tested against the market in smaller increments to allow for redirection of priorities, etc.
For example, let's say a company has a big idea for a new feature in their software-based product or service. They've done some research, they know the market, and they believe this idea will result in a strong new line of revenue. Now consider two options for delivering that feature:
- Spend months developing the whole thing in a one-off branch. Spend weeks integrating it back into the main codebase. Spend days testing it. Spend a day deploying it. And only then start tracking actual revenue in the production system.
- Implement small parts of the feature, one at a time. Each week release a new piece of it. Each week get more data on actual revenue.
In the first scenario, if the feature doesn't have the desired market effect then a lot of money is wasted on something customers don't actually want. In the second scenario the fact that customers don't want it is determined much, much earlier and the rest of the work is de-prioritized.
Ultimately these "continuous things" are all about removing development process overhead. If a company's line of revenue is a particular service offering then ideally all of their costs should go into that offering. Development process overhead (merging code, re-testing the same features after a merge, manual deployment tasks, etc.) don't actually contribute to the value of the service, so these concepts seek to remove those costs from the process.
From what I've learned with Alex Cowan in the course Continuous Delivery & DevOps, CI and CD is part of a product pipeline that consists in the time it goes from an Observations to a Released Product.
From Observations to Designs the goal is to get high quality testable ideas. This part of the process is considered Continuous Design.
What happens after, when we go from the Code onwards, it's considered a Continuous Delivery capability whose aim is to execute the ideas and release to the customer very fast (you can read Jez Humble's book Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation for more details). The following pipeline explains which steps Continuous Integration (CI) and Continuous Delivery (CD) consist of.
Continuous Integration, as Mattias Petter Johansson explains,
is when a software team has habit of doing multiple merges per day and they have an automated verification system in place to check those merges for problems.
(you can watch the following two videos for a more pratical overview using CircleCI - Getting started with CircleCI - Continuous Integration P2 and Running CircleCI on Pull Request).
One can specify the CI/CD pipeline as following, that goes from New Code to a released Product.
The first three steps have to do with Tests, extending the boundary of what's being tested.
Continuous Deployment, on the other hand, is to handle the Deployment automatically. So, any code commit that passes the automated testing phase is automatically released into the production.
Note: This isn't necessarily what your pipelines should look like, yet they can serve as reference.
I think amazon definition is straight and simple to understand.
"Continuous delivery is a software development methodology where the release process is automated. Every software change is automatically built, tested, and deployed to production. Before the final push to production, a person, an automated test, or a business rule decides when the final push should occur. Although every successful software change can be immediately released to production with continuous delivery, not all changes need to be released right away.
Continuous integration is a software development practice where members of a team use a version control system and integrate their work frequently to the same location, such as a master branch. Each change is built and verified by tests and other verifications in order to detect any integration errors as quickly as possible. Continuous integration is focused on automatically building and testing code, as compared to continuous delivery, which automates the entire software release process up to production."
Please check out http://docs.aws.amazon.com/codepipeline/latest/userguide/concepts.html
I think we're over analyzing and maybe complicating a bit the "continuous" suite of words. In this context continuous means automation. For the other words attached to "continuous" use the English language as your translation guide and please don't try to complicate things! In "continuous build" we automatically build (write/compile/link/etc) our application into something that's executable for a specific platform/container/runtime/etc. "Continuous integration" means that your new functionality tests and performs as intended when interacting with another entity. Obviously, before integration takes place, the build must happen and thorough testing would also be used to validate the integration. So, in "continuous integration" one uses automation to add value to an existing bucket of functionality in a way that doesn't negatively disrupt the existing functionality but rather integrates nicely with it, adding a perceived value to the whole. Integration implies, by its mere English definition, that things jive harmoniously so in code-talk my add compiles, links, tests and runs perfectly within the whole. You wouldn't call something integrated if it failed the end product, would you?! In our context "Continuous deployment" is synonymous with "continuos delivery" since at the end of the day we've provided functionality to our customers. However, by over analyzing this, I could argue that deploy is a subset of delivery because deploying something doesn't necessarily mean that we delivered. We deployed the code but because we haven't effectively communicated to our stakeholders, we failed to deliver from a business perspective! We deployed the troops but we haven't delivered the promised water and food to the nearby town. What if I were to add the "continuous transition" term, would it have its own merit? After all, maybe it's better suited to describe the movement of code through environments since it has the connotation of "from/to" more so than deployment or delivery which could imply one location only, in perpetuity! This is what we get if we don't apply common sense.
In conclusion, this is simple stuff to describe (doing it is a bit more ...complicated!), just use common sense, the English language and you'll be fine.
What is Continuous Integration Continuous Integration is a process or a development practice of automated build and automated test i.e. A developer is required to commit his code multiple times into a shared repository where each integration is verified by automated build and test.
If the build fails/success it is notified to a developer and then he can take relevant actions.
What is Continuous Delivery Continuous Delivery is the practise where we keep our code deployable at any point which has passed all the test and has all the required configuration to push the code to production but hasn’t been deployed yet.
What is Continuous Deployment With the help of CI we have created s build for our application and is ready to push to production. In this step our build is ready and with CD we can deploy our application directly to QA environment and if everything goes well we can deploy the same build to production.
So basically, Continuous deployment is one step further than continuous delivery. With this practice, every change which passes all stages of your production pipeline is released to your customers.
Continuous Deployment is a combination of Configuration Management and Containerization.
Configuration Management: CM is all about maintaining the configuration of server which will be compatible to application requirement.
Containerization: Containerization is a set of tolls which will maintain consistency across the environment.
Img source: https://www.atlassian.com/
Continuous Integration: The practice of merging the development work with the main branch constantly so that the code has been tested as often as possible to catch issues early.
Continuous Delivery: Continuous delivery of code to an environment once the code is ready to ship. This could be staging or production. The idea is the product is delivered to a user base, which can be QA's or customers for review and inspection.
Unit test during the Continuous Integration phase can not catch all the bugs and business logic, particularly design issues that is why we need QA, or staging environment for testing.
Continuous Deployment: The deployment or release of code as soon as it's ready. Continuous Deployment requires Continuous Integration and Continuous Delivery otherwise the code quality won't be guarantee in a release.
Continuous Deployment ~~ Continuous Integration + Continuous Delivery
One graph can replace many words:
Enjoy! :-)
# I have updated the correct image...
Difference between Continuous Integration, Continuous delivery and continuous deployment
Source: Stackoverflow.com