About




Brian Childers is a seasoned technology architect with a proven track record of driving digital transformation across enterprise environments. With deep expertise in cloud architecture, cybersecurity, and IT strategy, Brian blends technical mastery with business acumen to deliver scalable, secure, and cost-effective solutions. He has led complex migrations to AWS and Azure, implemented robust governance frameworks, and optimized IT operations for performance and compliance.

As a trusted advisor to C-level stakeholders, Brian excels at aligning technology initiatives with organizational goals. His leadership spans infrastructure modernization, disaster recovery planning, and vendor management, all while fostering collaborative teams and mentoring future tech leaders. Whether architecting hybrid cloud ecosystems or streamlining service delivery, Brian brings vision, precision, and a relentless focus on value creation.

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Home built blob storage server

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In the hopes of creating a "blob" like storage like Amazon S3 , I recently did a Google for open source blob storage.  To my pleasure, I discovered minio .  Minio allows me to expose an S3 compatible service locally on my home network.  I can now work with large datasets in a S3-like fashion locally without having the overhead of dealing with an Internet connection. I can also set up Minio to be a gateway to Amazon S3 or even to my local Hadoop cluster . I also am able to set up the AWS CLI to interact with minio or have the minio client interact with AWS S3. While redundancy can be implemented with minio, I'll save that as a project for later. I picked up a Raspberry Pi 4 8 GB model from Amazon ($150) and a 8 TB external USB drive from Costco ($120).  One can always step down to a lower model / storage space if needed - just couldn't resist the savings on an 8 TB drive from Costco. :) I downloaded the Raspbian Lite image , set up regionalization and my hostname...
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Home built Hadoop analytics cluster: Part 4

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Home built Hadoop analytics cluster: Part 4 So yay!  As mentioned for my next goals in my previous post , I finally got the remaining two boxes built out and added into my home network.  I opted to put the Hadoop cluster on it's own subnet with a dedicated unmanaged switch only for the cluster (primary and nodes). I added the agent and metrics to all of the nodes and rebooted the servers. Then I followed the instructions to set up the cluster, naming it "ds730" after the class that I'm currently taking - DS730: Big Data - High Performance Computing. I also made sure I had DNS setup correctly by modifying /etc/systemd/resolved.conf and fixed my name resolution issues. Removed firewall rules. Removed timedatectl by doing: sudo timedatectl set-ntp no Then installed ntp: sudo apt install ntp Now I need to look at installing some database drivers, however I think I'm going to call it a night.  
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Home built Hadoop analytics cluster: Part 2

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Home built Hadoop analytics cluster: Part 2 In my previous post , I went through my overall plan that I will be following, along with goals and topics that I will be covering.  In this post, I will cover the initial building out of the cluster. [ Bill of Materials - BOM ] [ Hardware assembly ] [ Installing and configuring Linux ] Bill of Materials - BOM Item Price Link CPU $139.99 Amazon Motherboard $71.99 Amazon Memory (32 GB) $109.99 Amazon Storage (500 GB) $57.99 Amazon Power Supply (600W) $62.99 Amazon Case $68.99 Amazon Total $511.94 *** Total estimated price as of 10/12/2020 Does not include shipping/taxes Obviously, you can swap out components as you see your needs fit.  I did not want to make a high end workstation with GPU, opting to use a CPU that had graphics built in.  I did opt to get 32 GB memory and 500 GB storage - I could have gone down to 16 GB for memory and 250 GB for storage, but I feel that memory and storage is something that ...
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