Managing Amazon Kinesis Data Streams

作者 aws188af2f810ce无许可证2.8K 个星标收录于 2026年10月8日更新于 2026年10月8日仓库今天更新

Operates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets. Includes channel setup, IAM, schemas, output key templates, CloudWatch metrics and alarms, DLQ handling, quotas, and troubleshooting. For all other KDS topics and questions, search AWS documentation and blogs instead. Triggers: Kinesis Data Streams, KDS, streaming tables, stream to S3, stream to Iceberg, stream to S3 Tables, KDS delivery, KDS channel, CreateChannel, data channel, data freshness, dead-letter queue, KDS lakehouse, serverless Kinesis delivery, Firehose alternative for KDS, zero-ops Kinesis to S3. DO NOT USE for Kinesis Data Firehose, Kinesis Video Streams, or Managed Service for Apache Flink — use dedicated skills or search documentation instead.

仅含说明DevOps & Cloud
AI 生成的概览

指导配置 Amazon Kinesis Data Streams 通道,将流数据投递到 S3 Tables 或 S3 存储桶。

功能
为 Amazon Kinesis Data Streams 的流式表和 Amazon S3 投递提供领域指导,即通过流上的通道将记录投递到 S3 Tables 上的 Apache Iceberg 表或通用 S3 存储桶。它会将用户引导至参考文档,内容涵盖通道设置、IAM、架构、输出键模板、监控、配额和故障排查。它还列出前提条件和硬性限制,例如 ON_DEMAND 流、仅追加投递以及同区域目标。
适用场景
适用于设置或运维 KDS 到 S3 或 S3 Tables 的投递、基于 Kinesis 构建湖仓,或诊断处于 ACTIVE 状态但未投递数据的通道。不适用于 Kinesis Data Firehose、Kinesis Video Streams 或 Managed Service for Apache Flink。
运行要求
仅为说明文档,不附带脚本。建议通过 AWS MCP 服务器执行 AWS 操作;该服务器不可用时,可使用 AWS CLI 或 shell 命令。需要 ON_DEMAND 模式的 Kinesis 流、受 kinesis.amazonaws.com 信任的 IAM 服务执行角色,以及位于同一区域的目标。

Amazon Kinesis Data Streams

Overview

Domain expertise for Amazon Kinesis Data Streams. This skill covers streaming tables and Amazon S3 delivery, which provide serverless, fully managed delivery from a KDS stream directly to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets — no consumers, no Firehose, no Flink required for append-only delivery.

Delivery is configured as a channel on a stream via CreateChannel. Channels consume no shard capacity and no enhanced fan-out slots, so they do not compete with existing consumers.

The AWS MCP server is recommended for executing AWS operations. When the MCP server is not available, use the AWS CLI or shell commands instead.

Which Workflow Do You Need?

Customer IntentReference
Deliver stream data to Apache Iceberg tables on S3 Tables — setup, IAM, Glue schema, type mapping, partitioning, channel lifecyclereferences/streaming-tables.md [blocked]
Deliver stream data to a general-purpose S3 bucket as objects — setup, IAM, compression, storage class, output key templates, channel lifecyclereferences/general-purpose-delivery-to-s3.md [blocked]
Build a lakehouse / data lake from Kinesis; make streaming data queryable in Athenareferences/streaming-tables.md [blocked]
Zero-ops, serverless alternative to Firehose or Kinesis consumers for KDS → S3 deliveryreferences/general-purpose-delivery-to-s3.md [blocked]
CloudWatch metrics and alarms, delivery logging, CloudTrail, encryption, channel states, quotas, naming rules, what can be updatedreferences/monitoring-security-and-limits.md [blocked]
Channel is ACTIVE but no data arrives; records landing in the DLQ; rising data freshnessStart with references/monitoring-security-and-limits.md [blocked], then the destination-specific troubleshooting table
Deliver to both S3 and S3 Tables from one streamSupported — create one channel per destination

Prerequisites

Both destinations require an ON_DEMAND stream — provisioned-mode streams are not supported. Each channel also needs an IAM service execution role trusted by kinesis.amazonaws.com, and a destination in the same Region as the stream.

Hard Limits to Check First

These rule out the feature entirely, so confirm them before designing a solution:

  • Append-only — no CDC, upserts, or deletes
  • No schema evolution — a schema change means deleting and recreating the channel
  • No backfill — only records produced after the channel is ACTIVE are delivered
  • No transformations — records are delivered as-is
  • New table per channel — cannot deliver into an existing Iceberg table
  • Data freshness is 300–900 seconds — not sub-minute
  • Same Region only — cross-account is supported, cross-Region is not

If any of these block the customer, recommend Managed Service for Apache Flink instead.

Additional Resources

来源与署名

来源:aws/agent-toolkit-for-aws位于skills/specialized-skills/analytics-skills/managing-amazon-kinesis-data-streams提交188af2f

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