Fluent Bit Explained: Data Pipelines for Observability. The Evolution of Cloud-Native Logging

Описание: Observability begins with data movement: collecting, routing, and analyzing information so it reaches the right place in the right form. Before projects like Fluentd and Fluent Bit, every source and backend spoke a different protocol, forcing teams to build custom tools for each connection.
In this episode, Whitney Lee and Eduardo Silva Pereira trace how Fluentd introduced a unified way to move data and how Fluent Bit extended that approach for modern environments. They discuss what makes Fluent Bit lightweight, how it handles logs, metrics, and traces, and how it fits alongside the OpenTelemetry Collector. The video also touches on plugins, processors, and why many organizations run Fluent Bit as a DaemonSet for distributed data processing.

Prefer the full ⚡ Enlightning episode?
An Introduction to Fluentd and Fluent Bit → https://www.youtube.com/live/qhgQ0WD1i8c

Watch all ⚡ Enlightning episodes →    • ⚡️ Enlightning  

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#Fluentd #FluentBit #CloudNative #CNCF #Kubernetes #Observability #Logging #OpenTelemetry #DevOps #SRE #DataCollection #Telemetry #MicroserviceArchitecture #CloudComputing #Eduardo Silva #Chronosphere
▬▬▬▬▬▬ ⚡️ Related Links ⚡️ ▬▬▬▬▬▬
🔗 Fluent Bit → https://fluentbit.io/
🔗 Fluentd → https://www.fluentd.org/
🔗 OpenTelemetry → https://opentelemetry.io/
🔗 CNCF Slack → https://slack.cncf.io/

00:00 - Introduction and Background
00:27 - Origins of Fluentd as a Unified Logging Layer
02:20 - Why Fluent Bit Was Created
03:56 - Evolution from IoT to Microservices
05:32 - Comparison with OpenTelemetry
07:45 - Cloud Provider Adoption Patterns
08:44 - Performance and Resource Optimization
11:34 - Plugin Architecture Explained
12:41 - Processors vs Filters: Technical Differences
14:03 - Community Engagement Options