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Friday, January 28 • 1:00pm - 1:25pm
Metrics All The Way: Data Driven DevOps

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We are living in a digital era where data is constantly being generated, evaluated, and updated. Data plays an important role in the work of software engineers by providing accurate, actionable feedback that helps engineers understand where and how to make improvements to a product or process. Just as the urgency for digital businesses to move faster has grown, excitement around DevOps has also exploded and we are moving towards a more data-driven world.

Devops is usually viewed from a traditional perspective of a collaboration of Dev, Ops, and QA, driven by the change in culture, people, and process. But how do you know where you stand and where to move? Guesswork and gut feeling don’t have a place in a data-driven culture. In the long term, the move to a data-driven culture lets you leverage vital business and operational metrics to ensure your infrastructure stays operational, know how your applications are running, how they’re being utilized, and how they’re growing at scale. As members of the AI CoE in the Office of the CTO, we believe that having a well-defined data powered approach for operational monitoring is essential for performing efficient DevOps. In this talk, we will investigate the opportunities of data driven DevOps by providing a monitoring guide to help teams improve their operational processes, show what opportunities lie ahead of us when we engage in mining, analyzing and visualizing software engineering process data, but also highlight important factors that influence the success and adaptability of data-based improvement approaches.

Devops is usually viewed from a traditional perspective of a collaboration of Dev, Ops, and QA, driven by the change in culture, people, and process. But how do you know where you stand and where to move? Guesswork and gut feeling don’t have a place in a data-driven culture. In the long term, the move to a data-driven culture lets you leverage vital business and operational metrics to ensure your infrastructure stays operational, know how your applications are running, how they’re being utilized, and how they’re growing at scale. As members of the AI CoE in the Office of the CTO, we believe that having a well-defined data powered approach for operational monitoring is essential for performing efficient DevOps. In this talk, we will investigate the opportunities of data driven DevOps, show what opportunities lie ahead of us when we engage in mining, analyzing and visualizing software engineering process data, but also highlight important factors that influence the success and adaptability of data-based improvement approaches.

Session chairs: Marek Haičman and Nora Haxidautiova

Speakers
avatar for Hema Veeradhi

Hema Veeradhi

Senior Software Engineer, Red Hat
Senior Software Engineer working with the AI Center of Excellence team, part of the office of the CTO. Exploring and integrating open source AI operations across Red Hat platforms.


Friday January 28, 2022 1:00pm - 1:25pm CET
Session Room 1