threatbus VS Kedro

Tenzir | C++, ReasonML, Rust, Python | Hamburg, Germany or Remote (EU timezones) | Open-source | Full-time | https://tenzir.com

Tenzir is an early-stage startup that builds a next generation data-plane for modern Security Operations Centers. It is our mission to help defenders pull ahead by integrating widely used open source tools and building solutions that reduce the time to detect attacks and help with post-mortem investigations. To that end, we develop the high-performance C++ database [VAST](https://github.com/tenzir/vast) with a ReasonML-based frontend that is served by a Rust API. We also develop [Threat Bus](https://github.com/tenzir/threatbus), a dissemination layer for threat intelligence, which orchestrates detection and response products in a publish/subscribe architecture.

We're currently hiring for

Tenzir | Hamburg, Germany| DevOps Platform Engineer | FULL-TIME | REMOTE | €70-80k | https://tenzir.com

Tenzir is seeking an experienced and passionate DevOps / Platform engineer who enjoys bringing open-core security technology into production deployment shape. We cultivate a UNIX-centric mindset: security operators use our high-performance C++ database VAST (https://github.com/tenzir/vast) to hunt in telemetry data, either via the CLI or our ReasonML-based frontend getting its data through a Rust API.

We also develop Threat Bus (https://github.com/tenzir/threatbus), a messaging layer for federating security content.

=== Role & Responsibilities ===

- Improve our CI/CD pipelines for continuous releases with GitHub Actions to build projects of different languages on various platforms and to automate unit and integration testing.

- Automate continuous deployment strategies in different environments, for our own staging and production clusters, but also on-prem (appliances) or with different cloud providers.

- Implement a reliable backend infrastructure for appliance and fleet management, configuration management and multi-layer VPNs.

- Write integrations with other tools from the (security) ecosystem to support a wider range of data formats.

- Be responsible for entire infrastructure segments, from whiteboard design to implementation and automation for production systems.

=== Interview Process ===

1. Fill out the application form at https://tenzir.com/career/devops-platform-engineer/

2. Phone call to get to know each other and identify potential roadblocks (30min)

3. Technical interview(s) (1-2h)

---

If you are interested in cutting-edge C++ freelance work, or look for a local sysadmin position, please reach out directly to us at [email protected].

Tenzir | DevOps Platform Engineer | FULL-TIME | €70k | Hamburg, Germany | http://tenzir.com

Tenzir is seeking an experienced and passionate DevOps / Platform engineer who enjoys bringing open-core security technology into production deployment shape. We cultivate a UNIX-centric mindset: security operators use our high-performance C++ database VAST (https://github.com/tenzir/vast) to hunt in telemetry data, either via the CLI our our ReasonML-based frontend getting its data through a Rust API. We also develop Threat Bus (https://github.com/tenzir/threatbus), a dissemination layer for threat intelligence, which orchestrates detection and response.

=== Role & Responsibilities ===

As a key contributor to our infrastructure, you will improve and automate critical processes for building, packaging, and deploying our technology in test and production environments. Concretely:

Tenzir is seeking an experienced and passionate DevOps / Platform engineer who enjoys bringing open-core security technology into production deployment shape. We cultivate a UNIX-centric mindset: security operators use our high-performance C++ database VAST to hunt in telemetry data, either via the CLI our our ReasonML-based frontend getting its data through a Rust API. We also develop Threat Bus, a dissemination layer for threat intelligence, which orchestrates detection and response.

Interesting, thanks for sharing. I'll definitely take a look, although at this point I am so comfortable with Snakemake, it is a bit hard to imagine what would convince me to move to another tool. But I like the idea of composable pipelines: I am building a tool (too early to share) that would allow to lay Snakemake pipelines on top of each other using semi-automatic data annotations similar to how it is done in kedro (https://github.com/kedro-org/kedro).

# pyproject.toml [project] dependencies = [ "kedro @ git+https://github.com/kedro-org/kedro@3ea7231", "kedro-datasets[pandas.CSVDataSet,polars.CSVDataSet] @ git+https://github.com/kedro-org/kedro-plugins@3b42fae#subdirectory=kedro-datasets", ]

So there's 2 sides to pipeline management: the actual definition of the pipelines (in code) and how/when/where you run them. Some tools like prefect or airflow do both of them at once, but for the actual pipeline definition I'm a fan of https://kedro.org. You can then use most available orchestrators to run those pipelines on whatever schedule and architecture you want.

We have set up a milestone on GitHub so you can check in on our progress and contribute if you want to. To suggest features to us, report bugs, or just see what we're working on right now, visit the Kedro projects on GitHub.

you could use a project framework like kedro to force you to be more disciplined about how you structure your projects. I'd also recommend checking out this book: Edna Ridge - Guerrilla Analytics: A Practical Approach to Working with Data

Recently I started a position as Developer Advocate for Kedro, an opinionated data science framework, and one of the things we're doing is exploring what are the best open source tools we can use to create our documentation.

You can also check out Kedro, it’s like the Flask for data science projects and helps apply clean code principles to data science code.

An often overlooked framework used by NASA among others is Kedro https://github.com/kedro-org/kedro. Kedro is probably the simplest set of abstractions for building pipelines but it doesn't attempt to kill Airflow. It even has an Airflow plugin that allows it to be used as a DSL for building Airflow pipelines or plug into whichever production orchestration system is needed.