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The following requirements should be fulfilled: Fully featured logmanagement-system receive logs in ANY logformat Converting ogformats to support SIEM requirements filtering unwanted logs Protecting pipelines from overflooding Should fully integr...

To limit the possibilities we also decided on some principles the solution should follow: No java unless thoroughly tested No docker/containers No fancy-schmancy python-code. Run on Linux both X86/ARM support for key components Deployable using industr...

During each (critical) step data will be written to storage (which will be HA/redundant) to ensure no data will be lost when a critical failure occurs.The amount of data in memory will be limited as much as possible

During extensive research and experiences from the past, the following software-stacks have been selected as the preferred components to build the new solution. Vector (https://vector.dev) As the core log-management core. Kafka as an high-speed buffering s...

At the core of ALPACA vector is doing most of the heavy lifting. It can be downloaded at: www.vector.dev

Between each major operation data is buffered. Alpaca uses apache-kafka as a proven/reliable/scalable solution. It can be downloaded here: https://kafka.apache.org/

opensearch is used for datalake and dashboarding. It can be downloaded here: https://opensearch.org/

The installer is a set of Ansible playbooks A complete tar-file can be downloaded here and can be placed in a pre-existing ansible-environment.   An installer for an "All-in-one" server (single-node) can be found here: <TODO>