AWS Developer Associate Introduction AWS SDKs and CLI Deep Dive AWS SAM Serverless Application Model API Gateway REST HTTP APIs AWS Lambda Advanced Patterns DynamoDB Developer Patterns AWS CI/CD CodePipeline CodeBuild Amazon Cognito Authentication AWS Step Functions Orchestration EventBridge Developer Patterns Amazon ECR Container Registry ECS Fargate Container Deployment AWS X-Ray Distributed Tracing Secrets Manager Parameter Store CloudWatch Logs Insights Developer AWS AppSync GraphQL CodeArtifact Maven npm PyPI AWS Cloud9 Cloud IDE AWS AppConfig Feature Flags Developer Testing Best Practices AWS CodeCommit Git Repository AWS CodeDeploy Deployment AWS CodeStar Collaborative Dev Amazon S3 Developer Patterns Kinesis Data Streams Analytics AWS CDK Infrastructure Code AWS Amplify Fullstack Framework AWS CloudShell Browser IDE Serverless Application Repository AWS Developer Security Best Practices

Back to Lessons

Kinesis Data Streams Analytics

April 5, 2026

Real-Time Data Streaming

Process millions of events per second with Kinesis.

Kinesis Family

Data Streams:
- Provisioned throughput (shards)
- Real-time processing (5min retention)
- Lambda/Kinesis Client Library

Data Firehose:
- Near real-time (buffered)
- Direct to S3/Redshift/Elasticsearch
- Data transformation (Lambda)

Data Analytics:
- SQL queries on streaming data
- Real-time dashboards

Producer Library:
PutRecord/PutRecords batch

Scaling Patterns

Auto-sharding (Stream state tracking)
Enhanced fan-out (25MB/sec/consumer)
Consumer groups (multiple apps)

Previous Lesson Next Lesson