We had a conversation with the Greptime team regarding OpenTelemetry, which is the ability to understand the internal state of a system by examining its outputs. In the context of software, this means being able to comprehend the internal state of a system by analyzing its telemetry data, including traces, metrics, and logs.
Subjects covered in the theme
All Introductions
About Opentelemetry: Definition and importance of OpenTelemetry in modern software development
How OpenTelemetry simplifies the collection and management of telemetry data (traces, metrics, and logs)
Difference between observability and monitoring
How OpenTelemetry enhances observability and monitoring capabilities
Challenges and best practices in integrating OpenTelemetry with existing systems
Case studies or examples where OpenTelemetry provided significant insights and value
What is Observability data? (logs, traces, )
What is OLTP?
The role of OpenTelemetry in microservices architectures
About the Greptime team and their expertise in observability and monitoring
Practical Application
Helpful links and References
Greptime blog OpenTelemetry For Beginners: https://greptime.com/blogs/2024-09-05-opentelemetry
OTLP Format: https://greptime.com/blogs/2023-08-18-otlp-metric-backend
Best practices user OpenTelemetry https://grafana.com/blog/2023/12/18/opentelemetry-best-practices-a-users-guide-to-getting-started-with-opentelemetry/
Blog Greptime https://greptime.com/blogs/
example of how to use OpenTelemetry : https://greptime.com/blogs/2024-10-11-tesla-monitoring
how to query Frafana from an otel data source
Participants
Jéssica Nathany (Software Developer and host)
LinkedIn: https://www.linkedin.com/in/jessica-nathany-carvalho-freitas-38260868/
Github: https://github.com/JessicaNathany
Weslley Fratini (Software Engineer and co-host)
LinkedIn: https://www.linkedin.com/in/weslley-fratini/
David J (Independent Application Developer and Consult)
LinkedIn: https://www.linkedin.com/in/djuz/
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