Continuous delivery is a broad set of software development practices designed to ensure that every change is rapidly deployable to production, while the system performs its business function uninterrupted and as intended.
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CI/CD principles
CI/CD enables the best tech companies to improve their products many times per day. Here’s what you need to know to do the same.
Why We Need Continuous Integration
The Problem
First, we will take a look at the source of the problem, which lies in the software development cycle. Next, we will cover some of the change conflicts that can take place during that process, and finally we will explore the main factors that can make these problems escalate, followed by an explanation of how continuous integration solves these issues.
First, we will take a look at the source of the problem, which lies in the software development cycle. Next, we will cover some of the change conflicts that can take place during that process, and finally we will explore the main factors that can make these problems escalate, followed by an explanation of how continuous integration solves these issues.
What’s the Difference Between Continuous Integration, Continuous Deployment and Continuous Delivery?
Continuous integration, continuous deployment, and continuous delivery are like vectors that have the same direction, but different magnitude. Their goal is the same: make our software development and release process faster and more robust.
Continuous Integration (CI) Explained
Continuous integration enables iterative software development, reduces risks from defects and makes developers highly productive.
What is Continuous Integration?
Continuous integration (CI) is a software development practice in which developers merge their changes to the main branch many times per day. Each merge triggers an automated code build and test sequence, which ideally runs in less than 10 minutes. A successful CI build may lead to further stages of continuous delivery.
What is Continuous Integration?
Continuous integration (CI) is a software development practice in which developers merge their changes to the main branch many times per day. Each merge triggers an automated code build and test sequence, which ideally runs in less than 10 minutes. A successful CI build may lead to further stages of continuous delivery.
CI/CD Pipeline: A Gentle Introduction
Do you want your engineering team to deliver bug-free code at high velocity? A fast and reliable CI/CD pipeline is crucial for doing that sustainably over time.
What is a CI/CD pipeline?
A CI/CD pipeline helps you automate steps in your software delivery process, such as initiating code builds, running automated tests, and deploying to a staging or production environment. Automated pipelines remove manual errors, provide standardized development feedback loops and enable fast product iterations.
What is a CI/CD pipeline?
A CI/CD pipeline helps you automate steps in your software delivery process, such as initiating code builds, running automated tests, and deploying to a staging or production environment. Automated pipelines remove manual errors, provide standardized development feedback loops and enable fast product iterations.
What is Proper Continuous Integration?
Continuous integration (CI) is confusing. As with all ideas, everybody does their own version of it in practice.
CI is a solution to the problems we face while writing, testing and delivering software to end users. Its core promise is reliability.
A prerequisite for continuous integration is having an automated test suite, and a clean/ordered repo too ;). This is not a light requirement. Learning to write automated tests and mastering test-driven development takes years of practice. And yet, in a growing app, the tests we’ve developed can become an impediment to our productivity.
CI is a solution to the problems we face while writing, testing and delivering software to end users. Its core promise is reliability.
A prerequisite for continuous integration is having an automated test suite, and a clean/ordered repo too ;). This is not a light requirement. Learning to write automated tests and mastering test-driven development takes years of practice. And yet, in a growing app, the tests we’ve developed can become an impediment to our productivity.
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