Amazon Aurora

Amazon Aurora is a global-scale relational database service built for the cloud with full MySQL and PostgreSQL compatibility. It provides built-in security, continuous backups, serverless compute, up to 15 read replicas, automated multi-Region replication, and integrations with other AWS services.

Amazon Aurora publishes both logs and metrics to CloudWatch. Using Honeycomb’s AWS integrations, you can send those metrics to Honeycomb.

How it works

AWS CloudWatch provides Subscription Filters, which can be configured to forward all logs in a log group to a Kinesis Firehose destination. Kinesis Firehose then streams those logs to Honeycomb. Some AWS services use an additional step in the workflow that uses Lambda to structure log data before sending it to Honeycomb. Log data for Amazon API Gateway is unstructured and does not use this step.

AWS CloudWatch provides Metric Streams, which forward all metrics captured to third-party destinations. Metrics are streamed to Honeycomb using AWS Kinesis Data Firehose.


This service sends logs to CloudWatch and then forwards them (unstructured) to Honeycomb via Kinesis Firehose. It also sends metrics to CloudWatch and also forwards them to Honeycomb via AWS Kinesis.

Resources

Documentation

Honeycomb Docs for AWS

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Webpage

Amazon Aurora (AWS)

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Terraform Module

Honeycomb Terraform AWS Integrations (Terraform Registry)

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Github

Honeycomb CloudFormation Templates Repo

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Github

Honeycomb Terraform AWS Modules Repo

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Blog

Honeycomb AWS Integrations Let You Bubble Up Lurking Issues

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