Articles
4/8/2022
10 minutes

What is the Difference Between CI and CD? Using Them Together to Accelerate The Feedback Loop

Written by
Team Copado
Table of contents

What is the difference between CI and CD? While often used interchangeably, CI and CD are fundamentally different concepts. A deeper understanding of CI/CD processes can help developers accelerate and automate feedback loops, providing heightened quality control and opportunities for continuous improvement.

What is the Difference Between CI and CD?

Often, we speak about CI/CD as a singular concept. While they frequently come together, they are separate concepts. In fact, there are three different concepts involved:

  • Continuous Integration (CI) pulls together all commits within a single codebase. Code integrates continuously with the main trunk, even if multiple developers are working on the same code simultaneously.
  • Continuous Delivery (CD) automatically pulls commits through the pipeline — building, testing, and packaging for deployment. Once ready, it can be manually or automatically released.
  • Continuous Deployment (CD) pushes a deployment directly into the production environment without human intervention. 

CI/CD and test automation processes are considered DevOps best practices. Continuous Integration frequently leads directly to Continuous Delivery.

But it doesn’t have to. An organization can continuously integrate its codebase while still releasing its code packaged in large releases. CI/CD is about achieving the right amount of automation to improve the system's efficiency without affecting its stability. 

 

Continuous Deployment or Continuous Delivery?

In DevOps, more automation isn’t always better — the ultimate goal is to streamline the pipeline through automated testing and deployment without sacrificing product quality. With Continuous Delivery, a developer can ideally release a commit and soon see it in a deployable state. By contrast, Continuous Deployment automatically pushes the commit directly into production. This can make the live environment less stable, which doesn’t align with every deployment strategy. Most organizations aim for Continuous Delivery and reserve Continuous Deployment for specific applications, if they use it at all.

At every step of the CI/CD process, feedback is incorporated into a faster, more responsive loop.

Continuous Integration: A Consolidated Codebase

With Continuous Integration, commits are continuously consolidated into the main codebase and developers integrate code at least daily. This makes it much easier for many people to work on the same project simultaneously. Because developers continually integrate their code, each integration is significantly less disruptive. Team members can operate at their own pace and collaborate without stepping on each other’s toes.

Continuous Integration speeds up the feedback loop during development by flagging integration issues early on. The daily (or more frequent) feedback makes it easier to identify problems when they are smaller and easier to fix. Integrating in small batches can make it easier to figure out what is causing a defect. It also increases transparency between developers and across teams. 

Under Continuous Integration, teams don’t need to worry about packaging huge commits and releasing profound structural changes. Instead, they can engage in smaller, iterative changes that are less likely to be disruptive.

Continuous Delivery: Faster Commits and Smoother Deployment

With Continuous Delivery, commits are automatically packaged into a build and tested. Once they pass all required tests and quality gates, they are ready to deploy. CD provides developers and users with ready access to their deployments, making it easier for organizations to realize improvements.

Through CD, the small, iterative commits created by Continuous Integration flow through the pipeline quickly. The CI/CD process generates and tests builds and then brings them to a deployable state. Developers receive feedback much faster than they otherwise would. Once feedback is received, it can be acted on — whether that requires changes, fixes, or rollbacks.

Continuous Deployment: For Advanced Progressive Delivery Strategies

Automatically deploying code provides quick access to user feedback. However, the cost is a more variable production environment. Some organizations balance this by using continuous deployment as part of a sophisticated progressive delivery strategy. This automatically deploys changes only to select users. Feedback from these users is then incorporated into future iterations of the development cycle. Progressive delivery requires not only an amenable userbase but also advanced rollback capabilities.

CI/CD and Accelerating the Feedback Loop

How does CI/CD accelerate the feedback loop? CI improves collaboration throughout the development process, while CD uses automation to streamline testing, staging, and validation so code is deployable at the push of a button. Throughout the process, quality gates compare commits against critical standards.

The faster the CI/CD process runs, the faster feedback can be incorporated into your development process, allowing teams to adjust quickly to new developments.

The iterative DevOps CI/CD cycle relies on a fast feedback loop

The DevOps process is an iterative cycle that relies upon a fast feedback loop. When smaller commits post more frequently, feedback returns faster. Developers can address issues before they become disruptive.

Through CI/CD — and the automated testing processes involved — companies can build a robust, responsive pipeline to support large volumes of changes. These fast-paced changes are pushed through a series of controls and quality gates to maintain stability and scalability, thereby enforcing product quality.

Improve Pipeline Performance Through CI/CD

CI/CD provides the automation and orchestration necessary to do software development at scale. It empowers developers to focus primarily on development by facilitating collaboration, automating repetitive tasks, and ensuring developers have the resources they need, when they need them.

Now that you know what the difference is between CI and CD, you can see how, when used together, they greatly accelerate the feedback loop — facilitating robust, stable, and high-quality platforms with limited disruption. The more an organization leans on and improves its CI/CD processes, the more smoothly its production pipeline will run.

 

 

Book a demo

About The Author

#1 DevOps Platform for Salesforce

We build unstoppable teams by equipping DevOps professionals with the platform, tools and training they need to make release days obsolete. Work smarter, not longer.

Chapter 5: Automated Testing
Reimagining Salesforce Development with Copado's AI-Powered Platform
Planning User Acceptance Testing (UAT): Tips and Tricks for a Smooth and Enjoyable UAT
What is DevOps for Business Applications
Copado Integrates Powerful AI Solutions into Its Community as It Surpasses the 100,000 Member Milestone
Testing End-to-End Salesforce Flows: Web and Mobile Applications
How to get non-technical users onboard with Salesforce UAT testing
DevOps Excellence within Salesforce Ecosystem
Best Practices for AI in Salesforce Testing
6 testing metrics that’ll speed up your Salesforce release velocity (and how to track them)
Chapter 4: Manual Testing Overview
AI Driven Testing for Salesforce
AI-powered Planning for Salesforce Development
Chapter 3: Testing Fun-damentals
Salesforce Deployment: Avoid Common Pitfalls with AI-Powered Release Management
Exploring DevOps for Different Types of Salesforce Clouds
Copado Launches Suite of AI Agents to Transform Business Application Delivery
What’s Special About Testing Salesforce? - Chapter 2
Why Test Salesforce? - Chapter 1
Continuous Integration for Salesforce Development
Comparing Top AI Testing Tools for Salesforce
Avoid Deployment Conflicts with Copado’s Selective Commit Feature: A New Way to Handle Overlapping Changes
From Learner to Leader: Journey to Copado Champion of the Year
Enhancing Salesforce Security with AppOmni and Copado Integration: Insights, Uses and Best Practices
The Future of Salesforce DevOps: Leveraging AI for Efficient Conflict Management
A Guide to Using AI for Salesforce Development Issues
How to Sync Salesforce Environments with Back Promotions
Copado and Wipro Team Up to Transform Salesforce DevOps
DevOps Needs for Operations in China: Salesforce on Alibaba Cloud
What is Salesforce Deployment Automation? How to Use Salesforce Automation Tools
Maximizing Copado's Cooperation with Essential Salesforce Instruments
Future Trends in Salesforce DevOps: What Architects Need to Know
From Chaos to Clarity: Managing Salesforce Environment Merges and Consolidations
Enhancing Customer Service with CopadoGPT Technology
What is Efficient Low Code Deployment?
Copado Launches Test Copilot to Deliver AI-powered Rapid Test Creation
Cloud-Native Testing Automation: A Comprehensive Guide
A Guide to Effective Change Management in Salesforce for DevOps Teams
Building a Scalable Governance Framework for Sustainable Value
Copado Launches Copado Explorer to Simplify and Streamline Testing on Salesforce
Exploring Top Cloud Automation Testing Tools
Master Salesforce DevOps with Copado Robotic Testing
Exploratory Testing vs. Automated Testing: Finding the Right Balance
A Guide to Salesforce Source Control
A Guide to DevOps Branching Strategies
Family Time vs. Mobile App Release Days: Can Test Automation Help Us Have Both?
How to Resolve Salesforce Merge Conflicts: A Guide
Copado Expands Beta Access to CopadoGPT for All Customers, Revolutionizing SaaS DevOps with AI
Is Mobile Test Automation Unnecessarily Hard? A Guide to Simplify Mobile Test Automation
From Silos to Streamlined Development: Tarun’s Tale of DevOps Success
Simplified Scaling: 10 Ways to Grow Your Salesforce Development Practice
What is Salesforce Incident Management?
What Is Automated Salesforce Testing? Choosing the Right Automation Tool for Salesforce
Copado Appoints Seasoned Sales Executive Bob Grewal to Chief Revenue Officer
Business Benefits of DevOps: A Guide
Copado Brings Generative AI to Its DevOps Platform to Improve Software Development for Enterprise SaaS
Celebrating 10 Years of Copado: A Decade of DevOps Evolution and Growth
Copado Celebrates 10 Years of DevOps for Enterprise SaaS Solutions
5 Reasons Why Copado = Less Divorces for Developers
What is DevOps? Build a Successful DevOps Ecosystem with Copado’s Best Practices
Scaling App Development While Meeting Security Standards
5 Data Deploy Features You Don’t Want to Miss
Top 5 Reasons I Choose Copado for Salesforce Development
How to Elevate Customer Experiences with Automated Testing
Getting Started With Value Stream Maps
Copado and nCino Partner to Provide Proven DevOps Tools for Financial Institutions
Unlocking Success with Copado: Mission-Critical Tools for Developers
How Automated Testing Enables DevOps Efficiency
How to Keep Salesforce Sandboxes in Sync
How to Switch from Manual to Automated Testing with Robotic Testing
Best Practices to Prevent Merge Conflicts with Copado 1 Platform
Software Bugs: The Three Causes of Programming Errors
How Does Copado Solve Release Readiness Roadblocks?
Why I Choose Copado Robotic Testing for my Test Automation
How to schedule a Function and Job Template in DevOps: A Step-by-Step Guide
Delivering Quality nCino Experiences with Automated Deployments and Testing
Best Practices Matter for Accelerated Salesforce Release Management
Maximize Your Code Quality, Security and performance with Copado Salesforce Code Analyzer
Upgrade Your Test Automation Game: The Benefits of Switching from Selenium to a More Advanced Platform
Three Takeaways From Copa Community Day
Cloud Native Applications: 5 Characteristics to Look for in the Right Tools
Using Salesforce nCino Architecture for Best Testing Results
How To Develop A Salesforce Testing Strategy For Your Enterprise
What Is Multi Cloud: Key Use Cases and Benefits for Enterprise Settings
5 Steps to Building a Salesforce Center of Excellence for Government Agencies
Salesforce UI testing: Benefits to Staying on Top of Updates
Benefits of UI Test Automation and Why You Should Care
Types of Salesforce Testing and When To Use Them
Copado + DataColada: Enabling CI/CD for Developers Across APAC
What is Salesforce API Testing and It Why Should Be Automated
Machine Learning Models: Adapting Data Patterns With Copado For AI Test Automation
Automated Testing Benefits: The Case For As Little Manual Testing As Possible
Beyond Selenium: Low Code Testing To Maximize Speed and Quality
UI Testing Best Practices: From Implementation to Automation
How Agile Test Automation Helps You Develop Better and Faster
Salesforce Test Cases: Knowing When to Test
DevOps Quality Assurance: Major Pitfalls and Challenges
11 Characteristics of Advanced Persistent Threats (APTs) That Set Them Apart
7 Key Compliance Regulations Relating to Data Storage
7 Ways Digital Transformation Consulting Revolutionizes Your Business
Go back to resources
There is no previous posts
Go back to resources
There is no next posts

Explore more about

No items found.
No items found.

Activate AI — Accelerate DevOps

Release Faster, Eliminate Risk, and Enjoy Your Work.
Try Copado Devops.

Resources

Level up your Salesforce DevOps skills with our resource library.

Upcoming Events & Webinars

Explore Events

E-Books and Whitepapers

Read and Learn

Support and Documentation

Documentation Home

Demo Library

Watch Demos Now