AWS Big Data Blog

Category: Kinesis Data Firehose

New Relic drinks straight from the Firehose: Consuming Amazon Kinesis data

New Relic can now ingest data directly from Amazon Kinesis Data Firehose, expanding the insights New Relic can give you into your cloud stacks so you can deliver more perfect software. Kinesis Data Firehose is a fully managed service for delivering real-time streaming data to AWS services like Amazon Simple Storage Service (Amazon S3), Amazon […]

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Analyze logs with Datadog using Amazon Kinesis Data Firehose HTTP endpoint delivery

Amazon Kinesis Data Firehose now provides an easy-to-configure and straightforward process for streaming data to a third-party service for analysis, including logs from AWS services. Due to the varying formats and high volume of this data, it’s a complex challenge to identify and correlate key event details and data points to fix issues and improve […]

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Stream data to an HTTP endpoint with Amazon Kinesis Data Firehose

The value of data is time sensitive. Streaming data services can help you move data quickly from data sources to new destinations for downstream processing. For example, Amazon Kinesis Data Firehose can reliably load streaming data into data stores like Amazon Simple Storage Service (Amazon S3), Amazon Redshift, Amazon Elasticsearch Service (Amazon ES), and Splunk. […]

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How Wind Mobility built a serverless data architecture

We parse through millions of scooter and user events generated daily (over 300 events per second) to extract actionable insight. We selected AWS Glue to perform this task. Our primary ETL job reads the newly added raw event data from Amazon S3, processes it using Apache Spark, and writes the results to our Amazon Redshift data warehouse. AWS Glue plays a critical role in our ability to scale on demand. After careful evaluation and testing, we concluded that AWS Glue ETL jobs meet all our needs and free us from procuring and managing infrastructure.

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