Logs are easy at the beginning.
Production observability usually isn’t.
One pattern that shows up often in Kubernetes environments is teams adding more monitoring components over time and slowly ending up with more complexity than expected.
More agents.
More pipelines.
More moving parts.
Collecting telemetry is usually not the hard part.
Keeping observability systems manageable as infrastructure grows is where things get difficult.
That’s why tooling discussions usually become much more operational than feature comparisons.
Especially once infrastructure starts growing and operational overhead becomes harder to ignore.
I found this breakdown useful because it compares Fluent Bit and Grafana Alloy from a Kubernetes observability perspective instead of treating it as only a tooling comparison:
https://www.kubeblogs.com/fluent-bit-vs-grafana-alloy-kubernetes-observability-2026/
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