connector
Know which team’s topics are driving your Kafka bill
Attribute every broker hour, storage GB, and cross-AZ byte to the team and pipeline behind it. Catch runaway producers before they compound, and connect Kafka spend to the business outcomes it powers.
Shared Kafka clusters have no team-level cost breakdown
Kafka’s billing stops at the cluster. The team-level breakdown doesn’t come with it. CloudZero maps every broker hour and cross-AZ byte to the team and topic responsible, so cost ownership lands where decisions get made.


Cross-AZ replication costs don’t announce themselves
Cross-AZ transfer can exceed half an MSK bill. A producer publishing at ten times normal volume won’t send an alert. CloudZero flags the deviation to the team responsible while there’s still time to act.
Connect streaming spend to the outcomes it powers
Most teams know what their Kafka cluster costs in total. Fewer can say what it costs per topic, per pipeline, or per AI workload it serves. CloudZero answers both questions.

What every Kafka topic actually costs you
Producer costs separated from consumer silence
In Kafka, producers drive cost while consumers pay nothing. CloudZero surfaces which producer teams are responsible for broker and storage growth, so the bill reflects the actual source.
Retention policies that outlive their purpose
Topic retention set too high is one of Kafka’s most common cost traps. CloudZero identifies over-retained topics and surfaces them to the team responsible before storage costs compound.
Streaming spend connected to the pipeline behind it
CloudZero connects Kafka spend to cost per topic, cost per pipeline, and cost per event, so streaming infrastructure has a business case and not just a monthly invoice.
Bring every cost, even the one nobody supports
If it has a bill, AnyCost can ingest it. CloudZero turns the long tail of cost sources into one allocated, normalized, intelligent view of where every dollar goes.