Fluent Bit 2 vs OpenTelemetry Collector: Choose Your Observability Agent

In this episode, I’ll compare Fluent Bit 2.0 with the OpenTelemetry Collector helping you answer the question: which agent should I use for observabiliy?
📖 CHAPTERS 📖
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00:00 Introduction
01:55 Exploring log, metric, and trace features of both agents
05:12 Comparing log processing capabilities such as parsing and metadata enrichment
09:08 Exploring differences between the Fluent Bit and OTel Collector metrics pipeline
11:20 Evaluating trace handling and compatibility with both agents
12:12 Examining observability data reporting and agent health monitoring strategies
16:13 Which agent should you choose?
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🔬Want more about OpenTelemetry and tools that the cloud-native pros use? Check out the full list of my favs over here on this TH-cam playlist: • OpenTelemetry
Learn more about OpenTelemetry and FluentBit on their official websites:
🔗OpenTelemetry: opentelemetry.io/
🔗Fluent Bit: fluentbit.io/
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[@isitobservable]

Hey everyone! If you are interested in what's new with Fluent Bit 3.0, you can find everything you need to know in this episode: th-cam.com/video/RWdXzgNpYNE/w-d-xo.html

[@EmmanuelOga]

Great video! Could you talk sometime about vector and openobserve?
I'm working with go and k8s and I'm looking forward adding a minimal observability stack.From what you say in this video, it seems like I may be able to do with just the otel-collector, prometheus for short term metric collection and openobserve for long term and dashboards.
Thank you!

[@alexanderyakovlev6352]

+1 vector. In my research for our use-cases, otel-collector can't work efficiently with datadog metrics and as the author mentioned for logs. So we choose vector to cover logs + metrics part.

[@isitobservable]

datadog support delta , have you tried to use the cumulativetodelta processor?

[@axelbaumann8182]

Fluentbit Major Version 3 was released just a few days ago.

[@isitobservable]

Yes I know , I will do a deep dive on it very soon