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What is Amazon Kinesis?

Amazon Kinesis

Condition for Amazon Kinesis

  •  Amazon Kinesis is a real-time data streaming service from AWS.
     It allows you to collect, process, and analyze streaming data in real-time from:
      Websites
      Mobile apps
      IoT devices
      Logs
      Metrics
      Clickstreams
      Social media feeds
      Application events
     You can process gigabytes per second of data with very low latency.
     Kinesis = Real-time data streaming + Real-time processing on AWS
     Kinesis is similar to Kafka but fully managed by AWS.

Kinesis Has 4 Main Services

  •  Kinesis Data Streams (KDS) – real-time streaming pipeline
     Kinesis Firehose – auto-to-S3/Redshift/Elasticsearch (no servers)
     Kinesis Data Analytics – SQL queries on live streaming data
     Kinesis Video Streams – real-time video streaming

Why Use Amazon Kinesis?

  •  Use Kinesis when you need to handle real-time data continuously, such as:
     Real-time dashboards
     Analytics for clickstream
     Fraud detection
     Live monitoring
     IoT streaming
     Log aggregation
     Application observability
     Kinesis is ideal when you want zero infrastructure management and auto scaling.

Advantages of Amazon Kinesis

  •  Fully Managed Streaming
     You do not need to manage:
     Servers
     Brokers
     Clusters
     Scaling
     Failover
     Replication
     AWS handles everything.
  •  Real-Time Processing
     Kinesis can process data within milliseconds
     — perfect for real-time apps.
  •  Highly Scalable
     Kinesis can automatically scale based on:
     Data volume
     Throughput
     Shard count (KDS)
     You can stream TBs of data per hour.
  •  Integrates with AWS Ecosystem
     Kinesis can easily send data to:
     S3
     Redshift
     Lambda
     DynamoDB
     EMR
     OpenSearch (Elasticsearch)
  •  Multiple Streaming Options
     Choose based on your use case:
     Streams → custom processing
     Firehose → no code delivery
     Analytics → SQL on streaming data
     Video Streams → camera/IoT video
  •  Durable and Reliable
     Data stored across 3 Availability Zones.
     No data loss.
  •  Low Latency
     Latency is often sub-second.
     Suitable for:
     fraud detection
     anomaly detection
     stock trading
     gaming
     live monitoring

Disadvantages of Amazon Kinesis

  •  Higher Cost for Long-Term Streaming
     Cost increases with:
     number of shards
     retention time
     data retrieval
     For large-scale systems, cost can become high.
  •  Only Works Inside AWS
     Kinesis is vendor-specific.
     Can’t run outside AWS (unlike Kafka/MSK).
  •  Limited Customization (compared to Kafka)
     Kinesis has restrictions such as:
     partition/shard limits
     API rate limits
     no custom cluster tuning
     limited message size
  •  Scaling Can Be Complex (Kinesis Data Streams)
     Scaling KDS requires:
     shard splitting
     shard merging
     understanding partition keys
     consumer scaling
     Requires some learning.
  •  Data Retention is Limited
     Maximum:
     365 days retention in Kinesis Data Streams
     Firehose cannot retain
     Kafka/MSK can store much longer at lower cost.

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