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Continuous deployment (CD, or CDE) is a strategy or methodology for software releases where any new code update or change made through the rigorous automated test process is deployed directly into the live production environment, where it will be visible to customers.
The goal of a continuous deployment process is simple: minimize the cycle time required to write a piece of code, test it to ensure that it functions correctly and does not break the application, deploy it to the live environment and collect feedback on it from users.
Continuous integration refers to the software engineering practice of merging the output from software development teams into a shared mainline several times daily.
In the past, a software developer working on an application would obtain a copy of the current code base to build and test a change. As other developers were constantly updating the code base, this copy of the code base would become increasingly out-of-date over time. Still, the developer would build and test their change, but the final step was always to integrate the change back into the code base. And by then, incompatibility between the two often causes problems in the software development process.
Developer teams that practice continuous integration avoid integration issues by ensuring that working copies are merged into the main code bank several times daily. These regular commits reduce the number of conflicting changes, and any discovered conflicts are small and can usually be fixed relatively quickly. In contrast, developer teams that only commit changes once per week or once per month can build up a lot of conflicts between builds, leading to more difficulties when integrating the code.
Continuous deployment takes CI a step further and automates the code release process so that each time new commits are merged into the mainline, automated testing is conducted, and passes results in pushing the update to the production environment. The key to achieving continuous deployment is to start with a functioning workflow for continuous integration, then streamline and automate the application release process so you can roll out new releases regularly.
Automation is a key driver of productivity for teams that are doing continuous deployment. A robust battery of automated tests must be programmed to verify that new code commits are functional before they are automated. Additional tools are required to abort the deployment process and trigger human intervention when the tests reveal lower-than-expected quality results or outcomes.
Continuous deployment adds an element of risk to the software release process, as developers frequently commit unproven code that could potentially contain bugs in the live environment. Organizations that implement continuous deployment must therefore develop real-time monitoring capabilities of the live environment to rapidly discover and address any technical issues that occur after a new release.
Continuous deployment and DevOps are not the same things, but they aren’t mutually exclusive either and software developers can achieve some notable results by leveraging both paradigms.
For starters, it's clear that continuous deployment and DevOps have similar goals. DevOps is a set of software development practices emphasizing the shortening of software development cycle times and time-to-value while frequently delivering updates and new features. Continuous deployment strives to deliver frequent updates as well, but it does so through a specific approach to change integration and delivery that minimizes lead times and relies on automation to facilitate frequent testing and software releases.
Ultimately, while continuous deployment describes a single practice for software development, DevOps offers a range of processes and best practices designed to help dev teams quickly deliver code tightly aligned with business strategy and objectives. The DevOps framework includes third-party software recommendations for every stage of the product development process and guidelines for establishing a strong DevOps culture within your organization. These characteristics of DevOps are well beyond the scope of continuous deployment.
Why are more software developers moving beyond the continuous integration model and working towards continuous delivery and deployment? The combination of continuous development and DevOps can enable lightning-speed releases, but that's not the only benefit organizations see from their adoption of CD. Here are just a few benefits of continuous deployment:
The most important feature of continuous deployment is that it enables developer teams to get their new releases into the production environment as quickly as possible. Most software companies can no longer rely on common development methodologies when developers release software updates once per year. Some companies are rolling out up to 10 deployments per day with continuous deployment.
More frequent updates to your application mean a shorter feedback loop with the customer. Using state-of-the-art monitoring tools, developer teams can assess the impact of a new change on user behavior or engagement and adjust accordingly. The ability to rapidly release changes is an asset when customer behavior indicates the need for a quick pivot or change in strategy.
Continuous deployment is defined by its use of automation in the application deployment process. Continuous deployment wants developers to automate the entire software development process to the greatest extent possible, especially regarding release testing. Automation doesn't just help developers push out new releases faster. It also reduces time spent on manual processes.
New modern application stack technology and continuous deployments make it more challenging to measure digital business success. Sumo Logic unifies application observability for faster innovation. Reduce downtime and solve customer-impacting issues faster with an integrated observability platform for all of your application data, including logs, metrics, and traces across the entire application development lifecycle. Sumo Logic provides a single source of truth for troubleshooting, so you can prioritize more resources to accelerate feature releases and decrease outages.
Reduce downtime and move from reactive to proactive monitoring.