AWS Kinesis Data Streams
Fully managed real-time data streaming service that ingests, buffers, and processes large streams of data records. Data is organized into shards, each capable of ingesting up to 1 MB/s or 1000 records/s. Consumers can read from streams using the Kinesis Client Library, AWS Lambda triggers, or direct GetRecords API calls.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
All data encrypted at rest with AWS KMS (SSE). TLS enforced on all endpoints. IAM provides fine-grained action-level policies (kinesis:PutRecord, kinesis:GetRecords, etc). VPC endpoints available for private connectivity.
⚡ Reliability
Best When
You need sub-second latency ingestion at high throughput (millions of events/sec) and multiple independent consumers must read the same data, or when deep AWS ecosystem integration (Lambda, Firehose, Analytics) is already in use.
Avoid When
Your workload is low-volume (<1000 events/min), you need message acknowledgement semantics, or cost is a primary concern — SQS or EventBridge will be cheaper and simpler.
Use Cases
- • Real-time log and event ingestion from applications, servers, or IoT devices
- • Feeding clickstream data into analytics pipelines (e.g., to Redshift or S3 via Firehose)
- • Triggering Lambda functions on each incoming record for stream processing
- • Fan-out architectures where multiple consumers read the same stream independently
- • Change data capture (CDC) pipelines from databases into downstream systems
Not For
- • Simple task queues where SQS is cheaper and simpler
- • Low-throughput scenarios where the per-shard cost is not justified
- • Long-term message storage beyond the 7-day maximum retention window
Interface
Authentication
All requests signed with AWS Signature Version 4. IAM policies control access at stream, shard, and action level. Use IAM roles (not access keys) in production. Supports resource-based policies on streams.
Pricing
On-demand mode scales automatically but costs more per GB. Provisioned requires capacity planning. Costs escalate quickly with many consumers using enhanced fan-out.
Agent Metadata
Known Gotchas
- ⚠ ProvisionedThroughputExceededException is silent at the record level in PutRecords — the HTTP response is 200 but individual record entries in the response have ErrorCode fields that must be checked and retried manually
- ⚠ GetShardIterator expires after 5 minutes; if an agent holds a shard iterator and pauses (e.g. waiting for LLM output), the iterator will be invalid and GetRecords will return ExpiredIteratorException
- ⚠ Shard splits and merges change the shard topology; agents enumerating shards via ListShards must handle CLOSED shards and follow child-shard pointers or they will stop consuming data
- ⚠ Enhanced fan-out (RegisterStreamConsumer) requires a separate ARN per consumer and takes up to 10 seconds to activate; agents that create and immediately read will get ResourceInUseException or no data
- ⚠ PutRecords partial failure: a 200 response does NOT mean all records succeeded — FailedRecordCount in the response body must be checked; unread failures are silently dropped
Alternatives
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Scores are editorial opinions as of 2026-03-07.