Introducing: The Arcane Engineer
I-shaped. T-shaped. Π-shaped. Tree-shaped. Cute on paper. Useless when your stack is on fire. Observability doesn’t need specialists or generalists. It needs engineers who can tie systems together, learn fast, and make sense of chaos. At NoBS, we call them Arcane Engineers—and yes, Yog-Sothoth is involved. This blog explains why.
Introducing: The Arcane Engineer
I-shaped. T-shaped. Π-shaped. Tree-shaped. Cute on paper. Useless when your stack is on fire. Observability doesn’t need specialists or generalists. It needs engineers who can tie systems together, learn fast, and make sense of chaos. At NoBS, we call them Arcane Engineers—and yes, Yog-Sothoth is involved.
This blog explains why.
What SREs Actually Do (And What Everyone Gets Wrong)
Everyone loves to guess what SREs do—but most of them get it wrong. It’s not just about “keeping things up.” It’s about smarter observability, killing off useless toil, and reducing the chaos that wakes teams up at 3am. We wrote this piece to clear up the myths and share what modern SRE work actually looks like—messy, valuable, and mission-critical.
Well, we hyped up DASH 2025
DASH 2025 certainly did not disappoint. Datadog dropped a pile of announcements right out of the gate. We figured we’d break out a few of our personal favorites for you.
Cracking the Code of the Datadog App Builder
I’ve spent a good amount of time recently working in the App Builder, understanding its capabilities, and how some of it works. While there are a lot of examples in the form of blueprints that are provided by Datadog, figuring out how some more of the functionality really works has been tricky, since the documentation is still a work in progress. So, I did some of the hard parts, so you don’t have to!
Why NoBS Thinks There’s No BS at DASH (although NoBS will also be there)
Seems like there's a conference for everything, to the point where if you tried to attend all of them you would never get any work done. As an engineer, our time is valuable, and if we’re not gaining value in doing something then we shouldn’t be doing it.
Tag Smarter, Not Harder: The Tagging Mistakes You’re Still Making (Part 2)
Messy tagging slows down troubleshooting, clutters dashboards, and makes alerts unreliable. In Part 2, we’re tackling the biggest mistakes—over-tagging, inconsistent naming, and skipping Unified Service Tagging—plus how to fix them.
SLOs: You’ve Got Questions, We Did Our Best To Answer Them
We received a lot of great questions in our webinar. Hopefully, this post helps answer those questions and provide even more detail than we could cover.
Effective Datadog Dashboards
Woah now, hold on a second - get your mouse away from that “New Dashboard” button, we’ve got a few things to talk about first. Clearly you’re well on your way to using Datadog.
Tag Smarter, Not Harder: How to Fix Your Datadog Tagging Mess
TL;DR: If your Datadog tags are messy, your observability is messy. Stop overcomplicating it—use layers, keep it practical, and only tag what matters.
SLOs: Easier Said Than Done (But You Can Get Them Right)
Service Level Objectives (SLOs) sound simple—define what good service looks like, measure it, and call it a day. But getting them right is tricky.
Our Take on Observability
Before we take the idea of observability and what it is off the rails, we should probably start with the boring definition of it just so we’re all on the same page.
Hey there, we’re NoBS.tech
Thanks for checking us out. We’re here because we’re done with BS in the tech and sales industries. We’re here to do things differently.