Every day, telemetry data is emitted, processed, and then either stored or deleted from services. Unfortunately, understanding and then optimizing the telemetry data can be difficult. These difficulties lead to higher MTTR/D, burnout, and unwanted overage bills.

Google recently released its 2024 Cloud DORA (DevOps Research and Assessment) report, bringing together a decade’s worth of trends, insights, and best practices on what drives high performance in software delivery across industries of all sizes. This year’s findings take a closer look at how DevOps teams can achieve greater resilience and efficiency by adopting AI, improving team well-being, and building powerful internal platforms. ‍

Managing telemetry data effectively is a serious challenge for today’s engineering teams. In our webinar, Telemetry Data Management: Tales from the Trenches, experts from Mezmo and DZone shared practical strategies for building robust telemetry pipelines that both streamline operations and turn raw data into a strategic asset.