The Work Never Ends: This Is The Beginning
What I Do
I build systems that tell the truth. I pull signal from noise. From network logs and call records, to service data, optics, metrics, and all the other pieces that generally live in separate silos with separate logins, I bind them into one pane of glass. I write pollers, enrichers, and dashboards that translate the chaos of rural telecom into something you can reason about.
My work cuts across the full telecom stack... SS7, SIP, PON, DSL, DOCSIS, provisioning, and everything that ties them together. Operations do not live inside a single protocol, and neither do I. If it speaks, I can listen. Once I can listen, I can teach the system to listen too.
Why I’m Doing This
Because I got tired of seeing MBs and GBs of useful data just get stored static on a forgotten drive somewhere. Because I could see the stories in the data. I could see how to connect them together. I believe the real intelligence in our networks does not come from AI models or vendor dashboards, it comes from engineers who actually understand what they are looking at.
This blog is where I show how that understanding is built — through systems, through code, through iteration. It is where I document how I think, not just what I make.
The Lineage: From CodexMCP to Now
If you browse back through this blog or my LinkedIn posts, you will see a lot of time went into a project called CodexMCP. That project started as an experiment to emulate user churn inside a VM. It was going to be a way to simulate a living network ecosystem. But like most experiments, it grew into something more. Once I proved the mappings I created for the data and the tuning of OpenSearch were tight, the project started to shift a little.
Over time, CodexMCP stopped being a specific tool and became a way of thinking — about systems as living entities, about feedback loops, about understanding data as an organism that evolves when you observe it the right way.
What you are reading now is the evolution of that thinking. This is no longer about simulation. It is about working directly with real, live network data and using it to build operational intelligence at scale. The idea remains the same... learn, listen, adapt.
The Moving Target
There is no “end result.” Every time you think you have caught up, the landscape shifts. In this field, you do not just maintain, you chase. Step away for a few months, and you will spend a year catching up.
So this is not a static documentation project. It is a record of motion — of staying sharp, staying curious, and turning daily operations into a continuous feedback loop of learning.
Where It’s Going
Over time this space will evolve into a full technical atlas:
- How dashboards become decision systems
- How clean data enables intelligence
- How small even small networks can operate with the precision of hyperscalers
- How to think about your own data as a living system
There is no finish line. The work never ends, and that is exactly the point.
Stay tuned for the next article, My Toolbox, where I will discuss the open source tools I use to build these systems, and how I create specialized views to troubleshoot specific problems.
--Here We Go
-Bryan