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• The speaker addresses a question from an audience member regarding the storage of multiple integrated applications in a busy environment
• The speaker explains that open telemetry and Pixie solutions can be used to capture and store data locally, and then filter and batch the data as needed
• The speaker emphasizes the importance of considering sample strategies, filtering, and batching when designing an architecture for managing storage in a busy environment

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• Open Telemetry has several streaming protocols and projects baked into the project itself
• Open Telemetry is interoperable with other projects and teams adding support for it
• Native integrations are starting to use native OTLP APIs
• Contrib repos have hundreds if not thousands of integrations with existing technologies

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• Companies generate 20-30% more logs each year, making control of data flow important for cost reduction and efficient resource use
• Fluent Bit offers processors for modifying data and labels to optimize indexing and querying
• Lua scripting can be used for log processing
• Labels can be added, updated, or deleted using Fluent Bit processors
• Fluent Bit can be used for metrics management and data scraping

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• OpenTelemetry is a tool used for monitoring and observability in modern applications
• Implementing OpenTelemetry in a microservices architecture can be challenging
• Microservices create complex systems that require debugging, monitoring, and observability
• The scale of data in modern applications is massive and requires efficient logging and tracing
• Clock skew and distributed timing can also be problematic in distributed environments

tldr - powered by Generative AI

• Community feedback is crucial in the development of Fluent Bit, and most of the features are a result of feedback from users.
• Investment in ensuring memory safety and testing is a priority, with a focus on CI/CD regression checks and sanitization.
• Fluent Bit has been extended to include metrics and traces, with a focus on making it easier for users to integrate with other ecosystems.
• Logs are unstructured data that can be processed and filtered to reduce data or send it to multiple locations.
• Metrics are important for monitoring and analyzing data, and Fluent Bit has its own way of monitoring and ingesting metrics.
• Fluent Bit metrics can be exposed over Prometheus or ingested as part of the pipeline.
• Traces are also important for debugging and troubleshooting, and Fluent Bit has been extended to include traces.