AWS Kinesis Streaming
AWS Kinesis ingests high-volume real-time data (IoT sensors, clickstreams, logs, transactions). Kinesis Data Streams buffers data; Kinesis Data Analytics processes it with SQL; Kinesis Firehose loads to S3/Redshift. Mastery means understanding shards (parallelism), consumer group semantics, windowing, state management. Learning path: streaming concepts (2 weeks) → Kinesis setup (2 weeks) → consumers + analytics (2 weeks) → production patterns (1 week).
What is AWS Kinesis Streaming
AWS Kinesis streams real-time data at scale. Kinesis Data Streams buffers incoming records (from IoT, clickstreams, logs, transactions), stored in shards (partitions) for a 24-hour window. Consumers (Lambda, EC2, Kinesis Analytics) process streams in real-time. Kinesis Firehose auto-loads aggregated data to S3, Redshift, or external endpoints. Use for: real-time dashboards, anomaly detection, recommendation engines, log processing, financial transactions.
📋 Before you start
💰 Salary by region
| Region | Junior | Mid | Senior |
|---|---|---|---|
| USA | $85k | $140k | $200k |
| UK | £50k | £85k | £125k |
| EU | €55k | €92k | €140k |
| CANADA | C$90k | C$150k | C$210k |
🎓 Certifications
🎯 Careers using AWS Kinesis Streaming
⚖ Compare with
❓ FAQ
Should I use Kinesis or Kafka?
What's a shard in Kinesis?
How do I scale Kinesis?
What's the difference between Streams, Firehose, and Analytics?
How do I handle late-arriving data?
Can I guarantee exactly-once processing?
Is Kinesis suitable for production?
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