Skip to main content

What is CI/CD pipeline in DevOps?


Continuous integration and Continuous delivery (CI/CD) are often cited as two different pillars of successful DevOps. First, it was Waterfall, then it was Agile, and now it is DevOps. This is how current era developers approach building great products. The rise of DevOps has come to the fresh newest techniques of Continuous Delivery, Continuous Integration (CI/CD), and Continuous Deployment.


Continuous Deployment

Continuous integration focuses on blending the work products of individual developers together into a repository. This is often done various times every single day, and the prime purpose is to enable early detection of integration bugs, which should eventually result in tight cohesion & more development collaboration.

The aim of continuous delivery is to reduce the friction points that are inherent in the deployment or release processes. Generally, the implementation covers automating every single step for build deployments such that a safe code release can be done eventually — at any time or moment.

Continuous deployment is a higher degree of automation, in which a build/deployment occurs automatically whenever an enormous modification is made to the code.

Follow me on:

Comments

Popular posts from this blog

What is the Scope of Automation Testing or Manual Testing in the Future?

Scope of automation testing in the future E ver since technology is progressing at a speedy pace, the demand for getting projects done quicker has increased more than ever. To get projects done fast, the complete procedures followed during a software life cycle needs to become accelerated as well. In the area of software testing, automation can be implemented to save cost and time but only when used in time-taking projects. When it comes to performing regression testing, large scale testing, automation testing is the way to go. It can be a good choice. There are a number of necessary advantages from test automation like Increases the software quality, lessens manual software testing operations and eradicate redundant testing efforts, create extra systematic repeatable software tests, Minimising repetitive work, and generate more consistent testing outcomes, higher consistency.  Execute more software tests and accomplish better testing coverage in a very limited sche

Top 10 UI Automation Tools You Should Try

As applications are designed and developed for varied platforms, spanning mobile, desktop, and cloud. Testing the user interface has turned into an increasingly complicated and risk-prone job. While having its series of challenges and loopholes, automated UI testing is gaining traction. UI test tools can effortlessly help in automated tests of software and applications that contain user interfaces.  These mind-blowing software testing tools utilize test cases to make sure that the software and application meet its specification and performs the proposed functions. Such test automation tools not only provide smart automation but also offer intelligent analytics to address any test challenges. Statistics Overview Some stats that prove that UI should not be taken lightly ever: • By 2020, there will be around 6.1 billion Smartphone users • 75% of all site traffic at present mainly runs through search engine-Google • 90% of audiences stopped using applicat

Top 6 Mobile App Testing Trends for 2020

The mobile app market is booming and is estimated to generate approx “USD 189 Billion by 2020” according to Statista Research. The number of mobile apps has hit new heights, with the number of users rising to 2 million for iOS-based and 2.1 million for android based mobile apps.  Hybrid monetization models, like in-app ads and in-app purchases, are rapidly gaining fame in the business world. Various studies revealed that in-app advertising is set to be a major driver of mobile growth over the coming years (as stated by IHS Markit’s , Statista’s , and Forbes’s reports). What Are Top Mobile AppTesting Trends to Look Out for 2020? 1. Application of Artificial Intelligence and Machine Learning 2. The popularity of Automated Voice (Voice-First App) Testing 3. High Demand for IoT Testing 4. The Trigger of Cloud-Based Mobile App Testing 5. The Growing Use of Open-Source Testing Tools 6. Prioritization to Performance Engineering Let’s explore the list of t