Source: thenewstack.io
When CI Meets CD: Deliver With ConfidenceCategory: Software, Business, Data, automation, machine-learning, artificial-intelligence
According to DORA’s State of DevOps 2019 report, elite performing software teams deploy on-demand with multiple code deployments to production per day. Consistent with the findings of 2018, the overall portion of elite groups to high, medium and low performers almost tripled in 2019.
The goal of Continuous Integration (CI) is to produce a packaged artifact ready to deploy onto a server or machine.
Using this data, software delivery platforms like Harness can determine which tests to run based on several derived outputs, such as code changes and test additions or modifications.
There are three kinds of considerations to make, related to bottlenecks in the maintenance and configuration of CI servers: CI is about improving the development workflow.
The goal of Continuous Integration (CI) is to produce a packaged artifact ready to deploy onto a server or machine.
Using this data, software delivery platforms like Harness can determine which tests to run based on several derived outputs, such as code changes and test additions or modifications.
There are three kinds of considerations to make, related to bottlenecks in the maintenance and configuration of CI servers: CI is about improving the development workflow.
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