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In today's episode of our OpenTelemetry series, we delve into the intricacies of different metric formats and how to convert them using our collector. Understanding and correctly implementing metric formats and conversions is essential for effective observability. This episode provided insights into the various metrics and practical steps to ensure accurate data ingestion in your observability backend. We'll explore the nuances of Delta and Cumulative aggregation, their impact on telemetry data, and practical examples to illustrate their usage. Understanding these formats is essential for effective observability. 🔍 Key Points Covered: Metric Temporality Aggregation Types: Cumulative and Delta Supported Solutions Conversion Processors Collector Configuration Best practices for Metric conversion ----------------------------- 📖 Chapters 📖 00:00 Welcome 01:29 Understanding Metric Types 05:23 How to Convert Metrics 08:55 Best Practices for Metric Conversion 12:06 Conclusion 🔗 Additional Links Dynatrace Trial: https://dt-url.net/observable-trial OpenTelemetry: https://opentelemetry.io/ OpenTelemetry Transformation Language: https://github.com/open-telemetry/ope... Blog: https://isitobservable.io 🔬 Want more about tools that the cloud-native pros use? Check out the full list of my favs over here on this YouTube playlist: • OpenTelemetry Check out ALL my observability secrets, tips, and tricks in my blog: https://isitobservable.io/ 👉✅ Stay connected with me! Twitter: / isitobservable LinkedIn: / isitobservable IsItObservable is powered by Dynatrace’s own developer relations team. Subscribe to get observability reviews, tips and tricks, and tutorials tested by cloud-native experts. I review, test, and share results to help you succeed with platform engineering and observability.