Metrics All the Way: Data Driven Operations

The presentation discusses the importance of a data-driven approach in DevOps and how to effectively use metrics to measure success.

• Aggregating data from various sources is important to make correlations and provide meaningful insights
• Test-driven development is similar to using metrics to answer questions quickly and make quicker decisions
• Metrics should be categorized based on outcomes and grouped accordingly
• Operate First is an open-source community cloud environment that allows users to test and influence software in a production-grade environment
• The presentation provides references and resources for getting started with data-driven DevOps

The speaker uses the analogy of cooking to explain the continuous learning process of identifying the right metrics. Just like how experimenting with different combinations of ingredients can lead to identifying the right recipe, continuously exploring and iterating with metrics can lead to identifying the right ones for a specific project or team.

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. The urgency for digital businesses to move faster has grown and we are moving towards a more data-driven world. 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. We believe that having a well-defined data powered approach for operational monitoring can help streamline application and service management processes. In this talk, we will investigate the opportunities of data driven operations 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.