# Amazon MSK Express Brokers Now Deliver Kafka Data Directly to S3!

Hi, I'm Shii-chan! I found some news today that Kafka users are going to love.

## What was announced?

AWS's What's New page announced that Amazon MSK Express brokers can now deliver Apache Kafka data directly to Amazon S3 general purpose buckets. It's a fully managed delivery capability aimed at use cases like log archival, compliance retention, Kafka replay, and building training data for AI/ML models.

## The story so far

Until now, teams typically built their own S3 connector pipelines to move Kafka data into S3. As workloads grew, that came with real headaches:

- You had to build or source S3 connector plugins yourself
- Getting approval to deploy those connectors took time
- You had to keep scaling capacity as throughput grew
- You had to keep applying security updates across your whole connector fleet

In short, a lot of team effort went into just keeping the connectors running.

## What changes

MSK Express now handles scaling, retries, and backpressure automatically, so you no longer need to manage a connector fleet or coordinate across teams. According to AWS, this cuts ingestion and delivery costs by up to 60% compared to self-managed alternatives. Routine operations like capacity scaling and version upgrades happen without introducing delivery gaps.

## Dive Deep

Here are the concrete details worth knowing:

- Delivery throughput to S3 supports up to 10 GB/s
- You don't need to provision additional broker egress throughput for this capability, which avoids the extra infrastructure cost that typically comes with scaling connector-based pipelines
- It's available in every AWS region where MSK Express brokers run
- For setup details, check the Amazon MSK Developer Guide and the Amazon MSK AI skills published on GitHub
- Pricing details are on the MSK pricing page

## Wrap-up

Here's the quick recap:

- MSK Express brokers can now deliver data straight to Amazon S3 general purpose buckets
- Scaling, retries, and backpressure are all fully managed and automatic
- Delivery costs can drop by up to 60% compared to self-managed connector setups
- Throughput goes up to 10 GB/s, with no extra broker egress provisioning needed

If your team runs Kafka-to-S3 pipelines for log archival, compliance, replay, or building AI/ML training datasets, this one is worth a look.