Add a post about Buoyant Data

_posts/2023-01-02-introducing-buoyant-data.md

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+---
+layout: post
+title: "Meet Buoyant Data, and let me reduce your data platform costs"
+tags:
+- databricks
+- software
+- deltalake
+- aws
+---
+
+One of the many things I learned in 2022 is that I have a particular knack for
+understanding, analyzing, and optimizing the costs of data platform
+infrastructure. These skills were born out of both curiosity and necessity in
+the current economic climate, and have led me to start a small consuhltancy on
+the side: [Buoyant Data](https://www.buoyantdata.com/). Big data infrastructure
+can be hugely valuable to lots of businesses, but unfortunately it's also an
+area of the cloud bills that is frequently misunderstood, that's something that
+I can help with!
+
+[Mike Julian](https://www.duckbillgroup.com/about/) from [The Duckbill
+Group](https://www.duckbillgroup.com/) once made the proclamation that the way
+to _actually_ save money in AWS is to design your infrastructure to be
+cost-effective. "Optimization" techniques can only take you so far, and once
+you've burned through all the optimizations, you may find yourself needing to
+further reduce the cost of your infrastructure and have no more "fat" to trim! In the [first blog post](https://www.buoyantdata.com/blog/2022-12-18-initial-commit.html) I outline a "reference architecture" for a data platform which I **know** is cost-effective, easy to manage, and lends itself well to growth.
+
+Planning for sensible, cost-concious growth is _very_ important. With most data
+platforms as they start to prove their value, the organization will bring even
+_more_ workloads to them. [If you give a data scientist a good
+platform](https://en.wikipedia.org/wiki/If_You_Give_a_Mouse_a_Cookie), they
+will find themselves wanting ever more from that data platform, and Buoyant
+Data can help make sure that growth is sustainable **and** the value to the
+business is easy to identify as well.
+
+
+Please add the Buoyant Data [RSS feed](https://www.buoyantdata.com/rss.xml) to your reader, as I have a number of blog posts queued up already with some gratis tips and tricks for understanding the cost of your data platform! 😄
+
+---
+
+The technology stack for Buoyant Data is something I cannot wait to write more
+about. After funding the creation of
+[delta-rs](https://github.com/delta-io/delta-rs) as part of my day job, I am
+utilizing the library in a **big** way to build extremely lightweight and
+cost-efficient data ingestion pipelines with Rust and AWS Lambda. There's still
+plenty of space for [Apache Spark](https://spark.apache.org) on the querying
+and processing side, but as
+[DataFusion](https://github.com/apache/arrow-datafusion) matures, I'm looking
+forward to exploring where that can fit into the picture.
+
+
+There's a lot of evolution happening right now in the data and ML platform
+space, I'm really looking forward to growing [Buoyant
+Data](https://buoyantdata.com) in my spare time!