threatbus VS lowdefy

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)

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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.

I'm really enjoying reading through the docs and the tutorial. We've created Lowdefy, a config web-stack which makes it really simple to build quite advanced web apps. We're writing everything in YAML, but it has it's limitations, specifically when doing config type checking and IDE extensions that go beyond just YAML.

I've been looking for a way to have typed objects in the config to do config suggestions and type checking.. PKL looks like it can do this for us. And with the JSON output we might even be able to get there with minimal effort.

Is there anyone here with some PKL experience that would be willing to answer some technical questions re the use of PKL for more advanced, nested config?

See Lowdefy:

https://lowdefy.com/

https://github.com/lowdefy/lowdefy

Awsome! With Lowdefy we tried to build a low-code framework that works like code. We’ve developed a schema in which to define applications and we’ve built all kinds of apps for enterprise customers. Massive, advanced CRM systems, call centre solutions, ticketing systems, a light MRP, all kinds of survey apps and so many dashboards. Even our docs and our website are Lowdefy apps!

Give Lowdefy a try and reach out it you have any questions or want to see what is possible :) (We need to invest a lot more into content and examples, bootstapping is a grind!)

https://github.com/lowdefy/lowdefy

Also add Lowdefy onto the list https://github.com/lowdefy/lowdefy

co-founder here :)

100% this. And yes, good documentation takes a lot of investment but it pays off like compound interest. But with that done, it becomes even more important not to pull the carpet for no good reason, you are building a tower and documentation is at the foundation.

We’ve built Lowdefy [1] as an open source project and documented it with all effort, 200 pages of docs. I often forget why or how something works and then jump to the docs. This investment keeps on paying of as we use Lowdefy to build customer apps, new devs in the team typically take less than two week to get up to speed and start making contributions, the sharp ones, just a two or three days.

This year, we’re extended our documentation onto customer apps aswell, with flow diagrams, state machine definitions, detailed field level explication schema definitions, and end user test procedures. The key here for this documentation is detail. It should be easier to reach for the docs and the the answer, than to dive in the code and interpret it.

1 - https://github.com/lowdefy/lowdefy

https://github.com/lowdefy/lowdefy Co-Founder here.

Check out https://lowdefy.com/ they even have a sample survey app as one of their examples.

You can build an app that would do this

Lowdefy is a low code tool that uses AG Grid as a block component, allowing you to create apps which render data in AG Grid without a lot of coding knowledge. There is a Lowdefy example using AG Grid here.

Shameless plug, also check out Lowdefy - https://github.com/lowdefy/lowdefy

I’m also going to jump in here and say try Lowdefy https://github.com/lowdefy/lowdefy - co-founder here.

We take a different angle and believe that low code should still work like code. We focus on a developer first approach.