AWS msk: Updated MSK Data Delivery prerequisites to feature overview
Summary
Replaced prerequisites list with detailed Amazon MSK Data Delivery capabilities description and added topic links.
Security assessment
The change replaces technical prerequisites with feature marketing content and reorganizes topics. No security-specific changes or vulnerabilities are addressed.
Evidence
+# Amazon MSK Data Delivery
Diff
diff --git a/msk/latest/developerguide/msk-data-delivery-prerequisites.md b/msk/latest/developerguide/msk-data-delivery-prerequisites.md index 4b05f5b78..61b71a0b5 100644 --- a//msk/latest/developerguide/msk-data-delivery-prerequisites.md +++ b//msk/latest/developerguide/msk-data-delivery-prerequisites.md @@ -1 +1 @@ -[View a markdown version of this page](msk-data-delivery-prerequisites.md) +[View a markdown version of this page](msk-data-delivery.md) @@ -3 +3 @@ -[](/pdfs/msk/latest/developerguide/MSKDevGuide.pdf#msk-data-delivery-prerequisites "Open PDF") +[](/pdfs/msk/latest/developerguide/MSKDevGuide.pdf#msk-data-delivery "Open PDF") @@ -7 +7 @@ -# Prerequisites +# Amazon MSK Data Delivery @@ -9 +9 @@ - 1. An Amazon MSK Provisioned cluster with Express brokers. +With Amazon MSK data delivery, you can deliver Apache Kafka data from Amazon MSK Express brokers directly to Amazon S3, without connectors or additional infrastructure to manage. Amazon MSK Express automatically handles scaling, retries, and backpressure, and manages routine operations such as capacity scaling and version upgrades without introducing delivery gaps. Because these are native broker capabilities, they add no broker egress throughput, so you avoid the incremental infrastructure costs that scaling connector-based pipelines typically incurs and match capacity to actual workload demand rather than provisioning for peak. Each capability supports throughput of up to 10 GBps. @@ -11 +11 @@ - 2. A Kafka topic producing data in a supported format for your destination. +The two capabilities are: @@ -13 +13 @@ - 3. An S3 bucket for the dead-letter queue (DLQ) — **required**. + * **Data delivery to streaming tables for Apache Iceberg** — With Amazon MSK Data Delivery, you can continuously materialize Apache Kafka topics as Apache Iceberg tables on Amazon S3 Tables. Intelligent inline compaction eliminates the performance impact of small files and keeps query performance predictable without sacrificing data freshness. Built-in coordination resolves concurrent writer conflicts across high-throughput consumers. Amazon S3 Tables automatically handles ongoing table maintenance, including compaction, snapshot expiration, and unreferenced file cleanup. @@ -15 +15 @@ - 4. An IAM service role (see [IAM permissions for Channel](./msk-data-delivery-iam.html)). + * **Data delivery to Amazon S3 general purpose buckets** — With Amazon MSK Data Delivery, you can deliver Apache Kafka data in the source format to Amazon S3 general purpose buckets for downstream processing, with end-to-end reliability for mission-critical workloads. Use it to land Kafka data in Amazon S3 for use cases such as log archival, compliance retention, Kafka replay, and training AI/ML models. This approach removes the need to build self-managed connector pipelines that grow costly and operationally complex as workloads scale. @@ -17 +16,0 @@ - 5. **(Iceberg only)** A schema registered in AWS Glue Schema Registry that matches the topic data, and an S3 Table bucket in the same AWS Region as the cluster. @@ -19 +17,0 @@ - 6. **(S3 only)** A general-purpose S3 bucket for data delivery. @@ -21 +19,6 @@ - 7. (Optional) A customer-managed KMS key for encryption at rest. + +###### Topics + + * [data delivery for streaming tables to Apache Iceberg](./msk-data-delivery-iceberg.html) + + * [data delivery to Amazon S3 general purpose buckets](./msk-data-delivery-s3.html) @@ -32 +35 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please -Supported configurations +Troubleshooting @@ -34 +37 @@ Supported configurations -Create your first Channel +data delivery for streaming tables to Apache Iceberg