Matano is an open source security lake platform for AWS. It lets you ingest petabytes of security and log data from various sources, store and query them in an open Apache Iceberg data lake, and create Python detections as code for realtime alerting. Matano is fully serverless and designed specifically for AWS and focuses on enabling high scale, low cost, and zero-ops. Matano deploys fully into your AWS account.
Collect data from all your sources
Matano lets you collect log data from sources using S3 or SQS based ingestion.
Ingest, transform, normalize log data
Store data in S3 object storage
Log data is always stored in S3 object storage, for cost effective, long term, durable storage.
Apache Iceberg Data lake
All data is ingested into an Apache Iceberg based data lake, allowing you to perform ACID transactions, time travel, and more on all your log data. Apache Iceberg is an open table format, so you always own your own data, with no vendor lock-in.
Matano is a fully serverless platform, designed for zero-ops and unlimited elastic horizontal scaling.
Detections as code
Write Python detections to implement realtime alerting on your log data.
You can install the matano CLI to deploy Matano into your AWS account, and manage your Matano deployment.
Matano provides a nightly release with the latest prebuilt files to install the Matano CLI on GitHub. You can download and execute these files to install Matano.
For example, to install the Matano CLI for Linux, run:
curl -OL https://github.com/matanolabs/matano/releases/download/nightly/matano-linux-x64.sh
chmod +x matano-linux-x64.sh
To get started with Matano, run the
matano init command. Make sure you have AWS credentials in your environment (or in an AWS CLI profile).
The interactive CLI wizard will walk you through getting started by generating an initial Matano directory for you, initializing your AWS account, and deploying Matano into your AWS account.
Initial deployment takes a few minutes.