Although both methodologies work the same, there are a few differences in their operations which makes them unique. For example, regarding team size, they both work with different team sizes for them to be efficient.
Machine learning (ML) is required to study the speed, volume, and diversity of Big Data. The findings of patterns and anomalies are used by DevOps teams to improve the development of new applications.
The makers of Chef Software have made a new release on their other product, the long-awaited InSpec 3.0. The last major upgrade of the software was back in February. Statistics show that it has had over 49270 times since that last upgrade. The number is likely to rise for the latest version, thanks to the many new resources that have been added. The release comes with usability improvements, bug fixes, and more platform support.
Chef is a platform used to manage systems and automate cloud infrastructure. With Chef Workstation, developers are able to turn infrastructure into code that can then be used to automate management and server deployment.
DevOps is not a tech concept nor a business strategy, it's more of an organizational culture towards change. Its purpose is to achieve transformation by combining software development and software operations.
In our last blogpost, we were talking about the latest 2018 Accelerate State of DevOps Report and highlighting the best practices of successful DevOps teams. Keep on reading to know the main findings of the report.