Launchable Blog | Engineering | Page 12

Here we'll discuss how and why Continuous Delivery and Continuous Deployment- actually have different meanings. 

February 25, 2022

Continuous Delivery automates the deployment of code changes to create shorter, more effective feedback loop improving software quality.

February 24, 2022

What is Continuous Delivery and how does it work? Also learn the Continuous Delivery process and explore how Continuous Delivery helps deployment process.

February 22, 2022

Instead of throwing more machines at the problem, Launchable utilizes AI and automation to decrease testing time and increase code quality.

February 16, 2022

MLOps is a specialized subset of DevOps for machine learning projects and applications. Learn more about the import similarities and differences.

February 15, 2022

When testing with machine learning and AI the components, speed and quality, must be balanced to produce the superior user experiences.

February 10, 2022

The call for faster software testing cycles stems from business demands and drives developer productivity, happiness, and morale.

February 2, 2022

At Launchable, learning from data is what we do day in and day out. Kohsuke Kawaguchi dives into some key findings after putting common sense to the test.

January 25, 2022

As many DevOps team move into some form of continuous integration and continuous delivery (CICD), let’s take a look at the trends.

January 21, 2022

Take a peek at the new challenges teams in the DevOps landscape will be facing in 2022.

January 14, 2022

Predictive test selection is a way of using machine learning to choose the highest value tests to run for a specific change.

December 29, 2021

AI powered test automation solutions that focus on reducing integration testing times in three ways: shift left, smoke tests, and shift right.

December 3, 2021