Continuous Integration - definition & overview

Continuous integration is a software engineering practice where all developers merge their working copies into shared mainline several times a day. The purpose of continuous integration is to avoid and prevent integration problems by ensuring that the main code repository is updated frequently and with small, incremental changes, rather than irregularly and with large changes. The idea for continuous integration was introduced by Grady Booch in the publication Object-oriented Analysis and Design with Applications.

Changes in the way that software developers approach application architecture have made continuous integration an increasingly popular methodology. In the past, the majority of software applications were built using what you would call a monolithic architecture. This means that the application is built as a single unit, or "all in one piece." A traditional enterprise application with a monolithic architecture is built into three essential parts: a database, a user interface and a server-side interface.

Today, an increasing number of applications are being developed using a microservices architecture. Microservices represent a specific feature of the application, a capability or service with a measurable business value. This means that features can be developed independently and even written in completely different programming languages. Development teams can enable feature toggling, making it easy to activate and deactivate specific application features or microservices in the production environment. The microservices architecture model enables software developers to deliver new updates more frequently, as updates to individual services can be implemented without negatively affecting other parts of the application. This enables developers to take advantage of the benefits of continuous integration, which include:

• Better fault isolation
  When developers implement continuous integration, it becomes easier to detect integration bugs at an early stage. Continuous integration ensures that changes to the main code repository are implemented frequently, so each update is small. When an integration error occurs, relatively few lines of code have been added since the last successful build, so it's much easier to find and diagnose the error. Additionally, for teams that use microservices architecture, faults can be isolated within individual microservices, making it even easier to debug.
• Lower consequences of failure
  Sometimes a bug emerges and developers are forced to revert back to an earlier version of the code that is known to be functional. For teams that update the code base 10 times per day, this means reverting to the previous build from an hour ago. For teams that update monthly, it means reverting to a build from a month ago or more. Frequent integration means that fewer changes are lost in cases where a revert is necessary.
• Current build always available
  Teams that practice continuous integration always have access to a high current version of the software that contains the latest updates. This enables more timely testing, demos and faster releases.
• More frequent updates
  Continuous integration ultimately means that software teams are delivering updates faster than before. This shortens the feedback cycle between application updates and user feedback and ensures that software development teams can continuously cater to the desires of their user base.

Maintain a centralized code repository

The journey to implementing continuous integration begins with the establishment of a centralized code repository for your application. The repository should contain all of the programming artifacts required to build the project with no additional dependencies. The goal of continuous integration is to make regular updates to the mainline code (at least once per day), ensuring that integration errors are immediately detected and corrected.

Write a comprehensive build script

One of the most important best practices for continuous integration is automating the build process. Continuous integration teams require the capability to initiate a full build script that compiles binaries and generates documentation, web pages and statistics. Automating the build process is a necessary pre-condition for continuous integration that also helps developers save time and money by eliminating redundant tasks.

Automate self-testing of your application

Automated self-testing should be run on every build to ensure that the code continues to function as expected. When an error is found, it can be diagnosed and corrected through debugging or developers can revert to a stable version of the code while losing a minimal amount of changes.

Everyone commits updated code every day

Committing new code updates to the mainline regularly reduces the number of conflicting changes, therefore each developer on the team must commit their updated working code at least once per day. We have heard of software teams that commit new code up to 10 times daily.

Every new commit should be built

To ensure success in the integration process, every new commit should be built into the current working version and tested for function. This process can be automated with the use of a continuous integration server that monitors the code repository for changes and automatically builds and tests when a change is detected.

Builds should always complete rapidly

Continuous integration teams need to ensure that their automated build process happens quickly. If the build takes 24 hours, that introduces a day of delays in finding any integration errors. Short build times mean that errors are identified and resolved more quickly.

Clone your production environment for testing purposes

One of the aims of continuous integration is to ensure that the application is always functional and ready for deployment. When the test environment does not accurately represent a live or production environment, this is impossible to verify. Software developers should construct a "staging environment" that replicates the conditions of live production.

Streamline access to the latest deliverables

Make sure that all stakeholders and testers can access the latest build to review and test code. Early testing and error detection can reduce the time needed to resolve a software bug.

Everyone can see build results

Continuous integration teams need to maintain a constant state of transparency when it comes to building results. Separate teams should be able to see whether the build breaks, then trace that back to what was changed and who changed it, and what microservices are affected.

Automate the deployment process

The final step of continuous integration implementation is to automate the deployment process. Deployment can be to either a test server where the build can be reviewed by the development team, or to a live production environment where users can instantaneously give feedback on updates.

Sumo Logic enables CI/CD by giving development, QE, DevOps, and SecOps teams a single pane of glass to measure and monitor KPIs or metrics developed by the DevOps Research and Assessment (DORA) organization for measuring the effectiveness of the software development and delivery process and the ability to monitor and troubleshoot their pipelines and incident management processes by analyzing real-time data from various stages in CI/CD pipelines and DevOps tools.