How Airties achieved scalability and cost-efficiency by moving from Kafka to Amazon Kinesis Data Streams
Big Data Blog
Airties successfully migrated from Apache Kafka to Amazon Kinesis Data Streams, achieving significant improvements in scalability, cost-efficiency, and operational performance for their home connectivity IoT platform.
- Replaced multiple Kafka clusters with a serverless Kinesis Data Streams architecture
- Implemented auto-scaling capabilities with dynamic shard management
- Created a decoupled data storage solution using Amazon S3, DynamoDB, and Kinesis
- Achieved 33% reduction in monthly infrastructure costs
- Reduced energy consumption by 40%
- Eliminated manual cluster management and capacity planning
The new architecture enables Airties to process telemetry data from millions of access points more efficiently, with improved scalability, reliability, and operational simplicity.
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