AWS Database Blog

Tag: Amazon Kinesis Firehose

Automatically Archive Items to S3 Using DynamoDB Time to Live (TTL) with AWS Lambda and Amazon Kinesis Firehose

Adam Wagner is a solutions architect at Amazon Web Services. Earlier this year, Amazon DynamoDB released Time to Live (TTL) functionality, which automatically deletes expired items from your tables, at no additional cost. TTL eliminates the complexity and cost of scanning tables and deleting items that you don’t want to retain, saving you money on […]

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Serverless Scaling for Ingesting, Aggregating, and Visualizing Apache Logs with Amazon Kinesis Firehose, AWS Lambda, and Amazon Elasticsearch Service

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. Pubali Sen and Shankar Ramachandran are solutions architects at Amazon Web Services. In 2016, AWS introduced the EKK stack (Amazon Elasticsearch Service, Amazon Kinesis, and Kibana, an open source plugin from Elastic) as an alternative to ELK (Amazon Elasticsearch Service, the […]

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How to Stream Data from Amazon DynamoDB to Amazon Aurora using AWS Lambda and Amazon Kinesis Firehose

Aravind Kodandaramaiah is a partner solutions architect with the AWS Partner Program Introduction We find that customers running AWS workloads often use both Amazon DynamoDB and Amazon Aurora. Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. Its flexible data model and reliable performance […]

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Send Apache Web Logs to Amazon Elasticsearch Service with Kinesis Firehose

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. We have many customers who own and operate Elasticsearch, Logstash, and Kibana (ELK) stacks to load and visualize Apache web logs, among other log types. Amazon Elasticsearch Service provides Elasticsearch and Kibana in the AWS Cloud in a way that’s […]

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