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How to Connect AWS Lambda to Amazon Kinesis Data Stream?
- This blog highlights how to build a serverless architecture for data stream processing in real-time and also you can learn how to connect AWS Lambda to Amazon Kinesis Data Stream.
- AWS Lambda is a serverless event-driven compute service that allows you to run codes, also known as functions, without provisioning or managing servers.
- Lambda integrates with many AWS services such as Kinesis, Amazon S3, Amazon DynamoDB, and others, making it easy to deploy in different customer use cases.
- Kinesis Streams offers high throughput for data ingestion, processing, and scaling. It provides configurable retention periods up to a maximum of seven days.
- Lambda functions are triggered automatically by new data in the Kinesis stream, enabling real-time processing and immediate reactions to data changes.
- Lambda scales automatically with the volume of data in the Kinesis stream, ensuring efficient processing of large data volumes.
- To ensure smooth data flow, system performance, and protection of sensitive information, you must secure and monitor the Lambda-Kinesis Streams integration.
- AWS Certified Developer Associate Certification plays a crucial role in learning how to set up a serverless architecture using Lambda and Kinesis Streams.
- You can create a highly scalable, real-time data processing pipeline using Lambda-Kinesis Streams integration with virtually no server administration.
- The following AWS services help you monitor and secure Lambda integration with Data Stream: Identity and Access Management (IAM), AWS Key Management Service (KMS), and Amazon CloudWatch.
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