Amazon Kinesis

Overview

The Amazon Kinesis component by Edgee provides powerful, serverless integration to forward analytics events to your streaming pipelines. Deployed at the edge via WebAssembly, it empowers real-time data ingestion into AWS—that’s efficient, scalable, and code-free for the client-side.

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Key Features & Benefits

Features

• Edge-Based Streaming: Transmit events directly from Edgee to Kinesis Data Streams with ultra-low latency.
• High Throughput Support: Scale seamlessly using multiple Kinesis shards for large-volume ingestion.
• AWS Compatibility: Integrate effortlessly with AWS services like Lambda, S3, Redshift, and Elasticsearch.
• Simple Setup: Configure AWS credentials, region, and stream name—no extra infrastructure required.

Benefits

• Real-Time Processing: Capture and analyze data instantly for responsive dashboards or decision-making.
• Elastic Scaling: Automatically adjust to traffic spikes without manual intervention.
• Operational Simplicity: Skip building or maintaining ingestion pipelines—Edgee handles the streaming.
• Strong Reliability: Benefit from AWS' high durability, data retention, and fail-safe mechanisms.

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Use Cases

• Real-time user analytics for dashboards and personalization.
• IoT device data streaming for monitoring and alerting.
• Live log/event streaming into AWS Lambda for serverless processing.
• High-frequency telemetry ingestion for machine learning model training.

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Additional resources: Amazon Kinesis Documentation