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👋 Hi everyone, and thanks @chrismessina for the Hunt! 🎉
I'm Vitaly, co-founder of Faros AI.
Today, I am excited to bring to you - Faros Community Edition (CE), the open-source engineering operations platform that connects the dots between all your operational data sources for a single-pane view across the software development life cycle. 🤩
With Faros CE, DORA metrics come standard, so you can answer questions about bottlenecks in your CI/CD pipelines, progress towards your goals, with data that is fresh, connected, queryable, and most importantly — ALL IN ONE PLACE!
🤝 Our awesome team of two-dozen engineers have been working on transforming engineering operations to become more data-driven for the past two years. We invite you to try Faros CE and look forward to working with the open source community to make it better over time.
We thought hard about coming up with a special offer for this launch. Well, nothing beats FREE I guess, and Faros CE is free forever!! Would love to hear your questions or comments. ✍️
"There are only two ways to make money in business: One is to bundle; the other is to unbundle." - Marc Andreessen
I'm excited to see platforms building bridging layers over all the great OSS out there. This looks like an excellent bundle; I see the vision.
Faros is particularly timely for me as I look to apply DevOps and SRE best practices to the Analytics Engineering world.
Congrats on the launch--will be checking out.
@imchrisdavis thanks! appreciate your inputs here and agreed that more collaboration, not less - is the way to go! You may have noticed that DORA metrics come standard in Faros CE. What other DevOps and SRE metrics would you want to see in a platform like Faros? Curious to hear your thoughts...
@maheshiyer25 This is a great question. I'm currently writing handlers for dbt artifacts to collect metadata about job runs. That's the kind of thing that would be a great additional source for what I'm actively working on and thinking about.
Broadly speaking, the "data observability" category of the Modern Data Stack as defined by Monte Carlo and others in the space could use something like this.
@imchrisdavis thanks! Adding @shubha_nabar and @thomas_gerber1 to this thread as they may have some insights and thoughts as well. There are definitely a broad range of applications that can benefit from this capability. The ability for teams to be more data-driven brings a rational approach to making business decisions and a "apples to apples" method of comparing before and after scenarios and also understand trends! Huge value in being able to see everything in a "single-pane" view!
@maheshiyer25@imchrisdavis we agree with you that visibility into artifacts, and especially data artifacts (like ML models) is becoming more and more important. A good place to start looking is at our cicd_ namespace (esp. cicd_build, which represents "jobs"): https://community.faros.ai/graphql
And remember, you can send data to Faros CE through its GraphQL endpoint! https://community.faros.ai/docs/...
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