Swiftorial Logo
Home
Swift Lessons
AI Tools
Learn More
Career
Resources

Kinesis Firehose Delivery

1. Introduction

Amazon Kinesis Data Firehose is a fully managed service that delivers real-time streaming data to various destinations. It is capable of capturing and transforming data before loading it into data lakes, data stores, and analytics services.

2. Key Concepts

2.1 Definitions

  • Delivery Stream: The conduit through which your data flows from the source to the destination.
  • Source: The origin of the data, such as Amazon S3, Apache Kafka, or custom sources.
  • Destination: The endpoint to which the data is delivered, including Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk.

2.2 Data Transformation

Firehose can transform incoming data in real-time using AWS Lambda functions.

Note: Kinesis Data Firehose automatically scales to match the throughput of your data.

3. Step-by-Step Setup

  1. Create a Delivery Stream:
    aws firehose create-delivery-stream --delivery-stream-name MyFirehoseStream --s3-destination-configuration '{
                        "BucketARN": "arn:aws:s3:::my-bucket",
                        "RoleARN": "arn:aws:iam::123456789012:role/firehose_delivery_role"
                    }'
  2. Configure Data Transformation:
    aws firehose put-data-transformation --delivery-stream-name MyFirehoseStream --data-transformation-configuration '{
                        "LambdaFunctionARN": "arn:aws:lambda:us-west-2:123456789012:function:MyLambdaFunction",
                        "Enabled": true
                    }'
  3. Start Ingesting Data:
    aws firehose put-record --delivery-stream-name MyFirehoseStream --record '{
                        "Data": "Sample data input"
                    }'
  4. Monitor Delivery Stream:

    Use Amazon CloudWatch to monitor metrics such as incoming bytes, outgoing bytes, and error counts.

4. Best Practices

  • Use batching for high throughput to optimize costs and performance.
  • Implement error handling to manage data delivery failures.
  • Regularly monitor and adjust the buffer sizes and intervals based on data patterns.

5. FAQ

What is the maximum data size that Firehose can handle?

Firehose supports a maximum record size of 1,000 KB.

Can Firehose be used for real-time analytics?

Yes, it can deliver data to Amazon Redshift or Amazon Elasticsearch for real-time analytics.

Is there a limit to the number of delivery streams I can create?

There is no hard limit, but AWS has service quotas that may apply. Check the AWS documentation for details.

6. Flowchart


            graph TD;
                A[Start] --> B[Create Delivery Stream]
                B --> C[Configure Data Transformation]
                C --> D[Ingest Data]
                D --> E[Monitor Delivery Stream]
                E --> F[End]