40% of companies are now spending $10M+ a year on AI — and most of them have no idea if it's worth it. Find out where you stand

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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.

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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.

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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.

Giving all our teams access to quick views of their spend has enabled them to understand where their costs are — and, when necessary, how to optimize.

Christopher Grey

Christopher Gray

Principal Engineer, Upstart

How Upstart gets engineers to make informed cost decisions

My team, the one that’s responsible for maintaining our core platform, is much more involved. They’re looking at numbers and making intelligent decisions about how to manage our costs.

Robert Mason

Robert Mason

CTO, Applause

Used cost per team to drive engineering accountability