By WalkingTree July 21, 2020
DevOps makes software and app delivery a lot quicker, enabling enterprises to push it to market sooner and making it more reliable for the end-user. AWS describes DevOps as a combination of cultural philosophies and practices that increases an organization’s ability to deliver applications and services at high velocity.
We all know that artificial intelligence (AI) and machine learning (ML) are next in the pipe for DevOps. However, it has been pointed out that many companies still have not figured out how to do regular DevOps properly, which makes it difficult for AI or ML. CTOs, CIOs, and VPs all over the world are struggling with making quick decisions when deadlines loom.
Culture of DevOps
DevOps is not just about development, but about a cultural movement focusing on an understanding between developers and operations and sharing responsibility for the software they build. When DevOps is done properly, digital workplaces display an increase in transparency, communication, and collaboration across development, operations, and all stakeholders within a workplace.
DevOps is critical to speed new code into production with minimal risk. However, how quickly new services can be brought to market are dependent upon how isolated they are from other services and how fast they can move through the DevOps process.
The ultimate goal is to bring services to market quickly by breaking apps into small discrete parts that can be independently changed and using automation to move through the process quickly.
Read on to know more about how the automation wave has overtaken IT departments everywhere.
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