Arroyo logo

Arroyo

Arroyo

Arroyo is a lightweight framework that facilitates the granular rehydration of logs, granting users the ability to select a specific timeframe to search for relevant log files.

Arroyo architecture
Elastic logo

Keep Your Existing ELK Stack

Arroyo integrates with a user's existing ELK stack. Rehydrate the logs you need while keeping your existing pipeline.

Money icon

Free To Use

Paid, commercial solutions exist. We would like to provide a lightweight, free alternative.

Stopwatch icon

Quick To Start

If users currently archive logs in AWS S3 and are implementing their own ELK stack -- they can quickly set up and use Arroyo.

What Arroyo does

Arroyo facilitates the rehydration of logs, granting users the ability to select a specific timeframe to search for relevant log files. Additionally, Arroyo supports query searching; a user can provide log attributes in order to conditionally rehydrate logs for more granular control over what data is rehydrated. Search results are retrieved from a user's AWS S3 bucket and reingested into Elasticsearch.

Arroyo phases

Rehydrate

Initiate log rehydration jobs within the Arroyo UI. A user can rehydrate the entire contents of their log files, or provide a query to rehydrate only relevant logs.

Reingest

Arroyo ships rehydrated logs to a user's Elasticsearch via Logstash.

Notify

A user will receive notifications within the Arroyo UI once rehydration jobs have completed.

Visualize

A user can return to their Kibana dashboard to view rehydration results.

What you'll need

Existing ELK stack

Arroyo integrates with a user's existing ELK stack.

Archived logs

Arroyo currently supports rehydrating logs from AWS S3 back into Elasticsearch.

Meet Team Arroyo

We are currently looking for opportunities. If you liked what you saw and want to talk more, please reach out!

  • Don Redding

    Los Angeles, CA

  • Anne Jones

    Seattle, WA

  • Olga Shiryaeva

    Chicago, IL

  • Pauline Tanzman

    Boston, MA