I'm building an open source security lake platform (https://github.com/matanolabs/matano https://github.com/matanolabs/matano). Basically, some of the core prob

I'm building an open source security lake platform (https://github.com/matanolabs/matano https://github.com/matanolabs/matano). Basically, some of the core problems we solve are: - Traditional SIEM tools are not a good fit for large amounts of data — they're either too expensive or come with a high ops burden. - Your data is locked into vendor specific formats. We solve this by ingesting and storing all your data in Apache Iceberg tables on S3, (allowing for low cost queries directly on S3 data + an open table format) and building everything using only serverless technologies(Lambda, SQS, S3, Athena, etc.). We also let you write realtime Python detections as code and are written in Rust, which makes for some interesting technical challenges.